Journal Papers

BibBase fessler, j
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  2025 (10)
ALPCAHUS: subspace clustering for heteroscedastic data. Cavazos, J. S.; Fessler, J. A.; and Balzano, L. IEEE Trans. Sig. Proc.. 2025. Submitted
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Smooth optimization algorithms for global and locally low-rank regularizers. Lobos, R. A.; Cavazos, J.; Nadakuditi, R. R.; and Fessler, J. A. SIAM J. Imaging Sci.. 2025. Submitted
Smooth optimization algorithms for global and locally low-rank regularizers [link]Paper   link   bibtex  
Convergent complex quasi-Newton proximal method for gradient-driven denoisers in compressed sensing MRI reconstruction. Hong, T.; Xu, Z.; Chun, S. Y.; Hernandez-Garcia, L.; and Fessler, J. A. IEEE Trans. Computational Imaging. 2025. Submitted
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Streaming heterscedastic probabilistic PCA with missing data. Gilman, K.; Hong, D.; Fessler, J. A.; and Balzano, L. Trans. Mach. Learning Res.. 2025. Submitted
Streaming heterscedastic probabilistic PCA with missing data [link]Paper   link   bibtex  
Bilevel optimized implicit neural representation for scan-specific accelerated MRI reconstruction. Yu, H.; Fessler, J. A.; and Jiang, Y. IEEE Trans. Med. Imag.. 2025. Submitted
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Test-time adaptation improves inverse problem solving with patch-based diffusion models. Hu, J.; Song, B.; Fessler, J. A.; and Shen, L. IEEE Trans. Computational Imaging. 2025. Submitted
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Scan-adaptive MRI undersampling using neighbor-based optimization (SUNO). Gautam, S.; Li, A.; Seiberlich, N.; Fessler, J. A.; and Ravishankar, S. IEEE Trans. Computational Imaging. 2025. Submitted
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Shorter SPECT scans using self-supervised coordinate learning to synthesize skipped projection views. Li, Z.; Jia, Y.; Xu, X.; Hu, J.; Fessler, J. A.; and Dewaraja, Y. K. Eur. J. Nuc. Med., 12(47). May 2025.
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FMCW inverse circular synthetic aperture radar using a fast time-domain reconstruction. Muppala, A. V.; Fessler, J. A.; and Sarabandi, K. IEEE Trans. Microwave Theory & Tech., 73(3): 1799–808. 2025.
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ALPCAH: Subspace learning for sample-wise heteroscedastic data. Cavazos, J. S.; Fessler, J. A.; and Balzano, L. IEEE Trans. Sig. Proc., 73: 876–86. January 2025.
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  2024 (13)
Impact of tissue sample preparation methods on myelin-sensitive quantitative MR imaging. Murguia, A.; Swanson, S. D.; Scheven, U.; Jacobson, A.; Nielsen, J.; Fessler, J. A.; and Seraji-Bozorgzad, N. Mag. Res. Med.. 2024. Submitted
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On adapting randomized \Nystrom preconditioners to accelerate variational image reconstruction. Hong, T.; Xu, Z.; Hu, J.; and Fessler, J. A. IEEE Trans. Computational Imaging. 2024. Submitted
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Fused multi-modal electron microscopy: A beginner's guide. Manassa, J.; Shah, M.; Cho, M. G.; Di, Z. W.; Jiang, Y.; Fessler, J. A.; Shao, Y.; Scott, M. C.; Schwartz, J.; and Hovden, R. Elemental Microscopy. 2024. Submitted
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Multi-dimensional RF pulse design using auto-differentiable spin-domain optimization and its application to reduced field-of-view imaging. Yang, J.; Nielsen, J.; Fessler, J. A.; and Jiang, Y. Mag. Res. Med.. 2024. To appear
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Swap-Net: A memory-efficient 2.5D network for sparse-view 3D cone beam CT reconstruction to ICF applications. Xu, X.; Klasky, M.; McCann, M. T.; Hu, J.; and Fessler, J. A. IEEE Trans. Computational Imaging. 2024. To appear
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Provable preconditioned plug-and-play approach for compressed sensing MRI reconstruction. Hong, T.; Xu, X.; Hu, J.; and Fessler, J. A. IEEE Trans. Computational Imaging, 10: 1476–88. 2024.
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Accelerated Wirtinger flow with score-based image priors for holographic phase retrieval in Poisson-Gaussian noise conditions. Li, Z.; Hu, J.; Xu, X.; Shen, L.; and Fessler, J. A. IEEE Trans. Computational Imaging, 10: 1384–99. 2024.
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X-ray source motion blur modeling and deblurring with generative diffusion for digital breast tomosynthesis. Gao, M.; Fessler, J. A.; and Chan, H. Phys. Med. Biol., 69(11): 115003. May 2024.
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Statistical image reconstruction with beam hardening compensation for X-ray CT by a calibration step (2DIterBH). Sanderson, D.; Martinez, C.; Fessler, J. A.; Desco, M.; and Abella, M. Med. Phys., 51(8): 5204–13. August 2024.
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Manifold regularizer for high-resolution fMRI joint reconstruction and dynamic quantification. Guo, S.; Fessler, J. A.; and Noll, D. C. IEEE Trans. Med. Imag., 43(8): 2937–48. August 2024.
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Model-based reconstruction for looping-star MRI. Xiang, H.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 91(5): 2104–13. May 2024.
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Imaging 3D chemistry at 1 nm resolution with fused multi-modal electron tomography. Schwartz, J.; Di, Z. W.; Jiang, Y.; Manassa, J.; Pietryga, J.; Qian, Y.; Cho, M.; Rowell, J.; Zheng, H.; Robinson, R.; Gu, J.; Rozeveld, S.; Ercius, P.; Fessler, J. A.; Xu, T.; Scott, M. C.; and Hovden, R. Nature Comm., 15: 3555. April 2024.
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A complex quasi-Newton proximal method for image reconstruction in compressed sensing MRI. Hong, T.; Hernandez, L.; and Fessler, J. A. IEEE Trans. Computational Imaging, 10: 372–84. 2024.
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  2023 (10)
90Y SPECT scatter estimation and voxel dosimetry in radioembolization using a unified deep learning framework. Jia, Y.; Li, Z.; Akhavan-Allaf, A.; Fessler, J. A.; and Dewaraja, Y. K. EJNMMI Phys., 10: 82. 2023.
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Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach. Gao, M.; Fessler, J. A.; and Chan, H. Phys. Med. Biol., 68(24): 245024. December 2023.
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SPECT reconstruction with a trained regularizer using CT-side information: Application to 177Lu SPECT imaging. Lim, H.; Dewaraja, Y. K.; and Fessler, J. A. IEEE Trans. Computational Imaging, 9: 846–56. 2023.
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Physics-guided deep scatter estimation by weak supervision for quantitative SPECT. Kim, H.; Li, Z.; Son, J.; Fessler, J. A.; Dewaraja, Y. K.; and Chun, S. Y. IEEE Trans. Med. Imag., 42(10): 2961–73. October 2023.
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Stochastic optimization of 3D non-Cartesian sampling trajectory (SNOPY). Wang, G.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 90(2): 417–31. August 2023.
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Optimally weighted PCA for high-dimensional heteroscedastic data. Hong, D.; Yang, F.; Fessler, J. A.; and Balzano, L. SIAM J. Math. of Data Sci., 5(1): 222–50. 2023.
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Momentum-Net: Fast and convergent iterative neural network for inverse problems. Chun, I. Y.; Huang, Z.; Lim, H.; and Fessler, J. A. IEEE Trans. Patt. Anal. Mach. Int., 45(4): 4915–31. April 2023.
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Training end-to-end unrolled iterative neural networks for SPECT image reconstruction. Li, Z.; Dewaraja, Y. K.; and Fessler, J. A. IEEE Trans. Radiation and Plasma Med. Sci., 7(4): 410–23. April 2023.
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Efficient approximation of Jacobian matrices involving a non-uniform fast Fourier transform (NUFFT). Wang, G.; and Fessler, J. A. IEEE Trans. Computational Imaging, 9: 43–54. 2023.
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Sparse-view cone beam CT reconstruction using data-consistent supervised and adversarial learning from scarce training data. Lahiri, A.; Klasky, M. L.; Fessler, J. A.; and Ravishankar, S. IEEE Trans. Computational Imaging, 9: 13–28. 2023.
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  2022 (12)
End-to-end MRI scan design approach for improved myelin water imaging. Whitaker, S. T.; Nielsen, J.; and Fessler, J. A. Mag. Res. Med.. 2022. Submitted
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Focal stack camera: depth estimation performance comparison and design exploration. Huang, Z.; Fessler, J. A.; and Norris, T. B. Optics Continuum, 1(9): 2030–42. 2022.
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Poisson phase retrieval in very low-count regimes. Li, Z.; Lange, K.; and Fessler, J. A. IEEE Trans. Computational Imaging, 8: 838–50. 2022.
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B-spline parameterized joint optimization of reconstruction and k-space trajectories (BJORK) for accelerated 2D MRI. Wang, G.; Luo, T.; Nielsen, J.; Noll, D. C.; and Fessler, J. A. IEEE Trans. Med. Imag., 41(9): 2318–30. September 2022.
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Cramér-Rao bound evaluations of Compton imager designs for proton beam range verification. Shy, D.; Fessler, J. A.; Polf, J. C.; and He, Z. IEEE Trans. Radiation and Plasma Med. Sci., 6(6): 731–9. July 2022.
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Simple beam-hardening correction method (2DCalBH) based on 2D linearization. Martinez, C.; Fessler, J. A.; Desco, M.; and Abella, M. Phys. Med. Biol., 67(11): 115005. May 2022.
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Bilevel methods for image reconstruction. Crockett, C.; and Fessler, J. A. Found. & Trends in Sig. Pro., 15(2-3): 121–289. 2022.
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Focal stack based image forgery localization. Huang, Z.; Fessler, J. A.; and Norris, T. B. Appl. Optics, 61(14): 4030–9. May 2022.
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Region of interest image reconstruction for Compton imaging using 3D position sensing CdZnTe. Nwadeyi, V. E.; Fessler, J. A.; and He, Z. IEEE Trans. Nuc. Sci., 69(4): 965–75. April 2022.
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Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel and slice thickness. Zeng, R.; Lin, C. Y.; Li, Q.; Lu, J.; Skopec, M.; Fessler, J. A.; and Myers, K. J. Med. Phys., 49(2): 836–53. February 2022.
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DblurDoseNet: A deep residual learning network for voxel radionuclide dosimetry compensating for SPECT imaging resolution. Li, Z.; Fessler, J. A.; Mikell, J. K.; Wilderman, S. J.; and Dewaraja, Y. K. Med. Phys., 49(2): 1216–30. February 2022.
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Imaging atomic-scale chemistry from fused multi-modal electron microscopy. Schwartz, J.; Di, Z. W.; Jiang, Y.; Fielitz, A.; Ha, D.; Perera, S. D.; Baggari, I. E.; Robinson, R. D.; Fessler, J. A.; Ophus, C.; Rozeveld, S.; and Hovden, R. npj Computational Materials, 8: 16. January 2022.
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  2021 (9)
A spatiotemporal model for task-based functional MRI reconstruction. Lin, C. Y.; Noll, D. C.; and Fessler, J. A. IEEE Trans. Med. Imag.. 2021. Submitted
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Joint design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation in MRI. Luo, T.; Noll, D. C.; Fessler, J. A.; and Nielsen, J. IEEE Trans. Med. Imag., 40(12): 3305–14. December 2021.
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Blind primed supervised (BLIPS) learning for MR image reconstruction. Lahiri, A.; Wang, G.; Ravishankar, S.; and Fessler, J. A. IEEE Trans. Med. Imag., 40(11): 3113–24. November 2021.
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HePPCAT: probabilistic PCA for data with heteroscedastic noise. Hong, D.; Gilman, K.; Balzano, L.; and Fessler, J. A. IEEE Trans. Sig. Proc., 69: 4819–34. August 2021.
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Deep convolutional neural network with adversarial training for denoising for digital breast tomosynthesis images. Gao, M.; Fessler, J. A.; and Chan, H. IEEE Trans. Med. Imag., 40(7): 1805–16. July 2021.
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Optimizing the efficiency of first-order methods for decreasing the gradient of smooth convex functions. Kim, D.; and Fessler, J. A. J. Optim. Theory Appl., 188: 192–219. 2021.
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Neural network based 3D tracking with a graphene transparent focal stack imaging system. Zhang, D.; Xu, Z.; Huang, Z.; Gutierrez, A. R.; Blocker, C. J.; Liu, C.; Lien, M.; Cheng, G.; Liu, Z.; Chun, I. Y.; Fessler, J. A.; Zhong, Z.; and Norris, T. B. Nature Comm., 12: 2413. April 2021.
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Improved localization precision and angular resolution of a cylindrical, time-encoded imaging system from adaptive detector movements. Shah, N. P.; Fessler, P. M. J. A.; Chichester, D. L.; and Wehe, D. K. IEEE Trans. Nuc. Sci., 68(4): 410–25. April 2021.
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Filtered backprojection in Compton imaging using a spherical harmonic Wiener filter with pixelated CdZnTe. Shy, D.; Chen, Z.; Fessler, J. A.; and He, Z. IEEE Trans. Nuc. Sci., 68(2): 211–9. February 2021.
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  2020 (15)
High-resolution oscillating steady-state fMRI using patch-tensor low-rank reconstruction. Guo, S.; Fessler, J. A.; and Noll, D. C. IEEE Trans. Med. Imag., 39(12): 4357–68. December 2020.
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Efficient regularized field map estimation in 3D MRI. Lin, C. Y.; and Fessler, J. A. IEEE Trans. Computational Imaging, 6: 1451–8. 2020.
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Improved low-count quantitative PET reconstruction with a variational neural network. Lim, H.; Chun, I. Y.; Dewaraja, Y. K.; and Fessler, J. A. IEEE Trans. Med. Imag., 39(11): 3512–22. November 2020.
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Myelin water fraction estimation using small-tip fast recovery MRI. Whitaker, S. T.; Nataraj, G.; Nielsen, J.; and Fessler, J. A. Mag. Res. Med., 84(4): 1977–90. October 2020.
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Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression. Lahiri, A.; Fessler, J. A.; and Hernandez-Garcia, L. Mag. Res. Med., 83(6): 1979–91. June 2020.
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A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions. Xiang, H.; Lim, H.; Fessler, J. A.; and Dewaraja, Y. Eur. J. Nuc. Med. Mol. Im., 47: 2956–67. May 2020.
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Algorithms and analyses for joint spectral image reconstruction in Y-90 bremsstrahlung SPECT. Chun, S. Y.; Nguyen, M. P.; Phan, T. Q.; Kim, H.; Fessler, J. A.; and Dewaraja, Y. K. IEEE Trans. Med. Imag., 39(5): 1369–79. May 2020.
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DECT-MULTRA: dual-energy CT image decomposition with learned mixed material models and efficient clustering. Li, Z.; Ravishankar, S.; Long, Y.; and Fessler, J. A. IEEE Trans. Med. Imag., 39(4): 1223–34. April 2020.
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SPULTRA: low-dose CT image reconstruction with joint statistical and learned image models. Ye, S.; Ravishankar, S.; Long, Y.; and Fessler, J. A. IEEE Trans. Med. Imag., 39(3): 729–41. March 2020.
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Online adaptive image reconstruction using (OnAIR) using dictionary models. Moore, B. E.; Ravishankar, S.; Nadakuditi, R. R.; and Fessler, J. A. IEEE Trans. Computational Imaging, 6: 153–66. 2020.
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Ranging and light field imaging with transparent photodetectors. Lien, M.; Liu, C.; Chun, I. Y.; Ravishankar, S.; Nien, H.; Zhou, M.; Fessler, J. A.; Zhong, Z.; and Norris, T. B. Nature Photonics, 14: 143–8. January 2020.
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Optimization methods for MR image reconstruction. Fessler, J. A. IEEE Sig. Proc. Mag., 37(1): 33–40. January 2020.
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Convolutional analysis operator learning: acceleration and convergence. Chun, I. Y.; and Fessler, J. A. IEEE Trans. Im. Proc., 29(1): 2108–22. January 2020.
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Simplified statistical image reconstruction for X-ray CT with beam-hardening artifact compensation. Abella, M.; Martinez, C.; Desco, M.; Vaquero, J. J.; and Fessler, J. A. IEEE Trans. Med. Imag., 39(1): 111–18. January 2020.
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Image reconstruction: from sparsity to data-adaptive methods and machine learning. Ravishankar, S.; Ye, J. C.; and Fessler, J. A. Proc. IEEE, 108(1): 86–109. January 2020.
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  2019 (9)
PowerGrid: An open source toolkit for accelerated, iterative magnetic resonance image reconstruction using graphics processing units. Cerjanic, A. M.; Ngo, G. C.; Holtrop, J. L.; Leback, B.; Arnold, G.; Moer, M. V.; LaBelle, G.; Fessler, J. A.; Johnson, C. L.; and Sutton, B. P. Mag. Res. Med.. 2019. Submitted
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Statistical image reconstruction using mixed Poisson-Gaussian noise model for X-ray CT. Ding, Q.; Long, Y.; Zhang, X.; and Fessler, J. A. Inverse Prob. and Imaging. 2019. Submitted
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Sparse-view X-ray CT reconstruction using $\ell_1$ prior with learned transform. Zheng, X.; Chun, I. Y.; Li, Z.; Long, Y.; and Fessler, J. A. IEEE Trans. Computational Imaging. 2019. Submitted
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Effect of source blur on digital breast tomosynthesis reconstruction. Zheng, J.; Fessler, J. A.; and Chan, H. Med. Phys., 46(12): 5572–92. December 2019.
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Convolutional analysis operator learning: Dependence on training data. Chun, I. Y.; Hong, D.; Adcock, B.; and Fessler, J. A. IEEE Signal Proc. Letters, 26(8): 1137–41. August 2019.
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A GRAPPA algorithm for arbitrary 2D/3D non-Cartesian sampling trajectories with rapid calibration. Luo, T.; Noll, D. C.; Fessler, J. A.; and Nielsen, J. Mag. Res. Med., 82(3): 1101–12. September 2019.
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Real-time filtering with sparse variations for head motion in magnetic resonance imaging. Weller, D. S.; Noll, D. C.; and Fessler, J. A. Signal Processing, 157: 170–9. April 2019.
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Efficient dynamic parallel MRI reconstruction for the low-rank plus sparse model. Lin, C. Y.; and Fessler, J. A. IEEE Trans. Computational Imaging, 5(1): 17–26. March 2019.
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Time of flight PET reconstruction using non-uniform update for regional recovery uniformity. Kim, K.; Kim, D.; Fakhri, G. E.; Fessler, J. A.; and Li, Q. Med. Phys., 46(2): 649–64. February 2019.
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  2018 (16)
Fast, precise myelin water quantification using DESS MRI and kernel learning. Nataraj, G.; Nielsen, J.; Gao, M.; and Fessler, J. A. Mag. Res. Med.. 2018. Submitted.
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Achieving submilliSievert CT scanning: where are we now?. McCollough, C. H.; Edic, P. M.; Fessler, J. A.; Fletcher, J. G.; Gang, G. J.; Otazo, R.; Pelc, N. J.; Sodickson, A. D.; Sodickson, D. K.; Webster Stayman, J.; Wang, G.; Wenisch, T. F.; Yu, H.; and Yu, L. Radiology. 2018. Submitted.
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Fast non-Cartesian MR image reconstruction via circulant-preconditioned algorithms with line search (LS-MOCHA). Muckley, M. J.; Zibetti, M. V. W.; and Fessler, J. A. IEEE Trans. Computational Imaging. 2018. Submitted.
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Dictionary-free MRI PERK: Parameter estimation via regression with kernels. Nataraj, G.; Nielsen, J.; Scott, C. D.; and Fessler, J. A. IEEE Trans. Med. Imag., 37(9): 2103–14. September 2018.
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Asymptotic performance of PCA for high-dimensional heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. J. Multivar. Analys., 167: 435–52. September 2018.
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Adaptive restart of the optimized gradient method for convex optimization. Kim, D.; and Fessler, J. A. J. Optim. Theory Appl., 178(1): 240–63. July 2018.
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PWLS-ULTRA: An efficient clustering and learning-based approach for low-dose 3D CT image reconstruction. Zheng, X.; Ravishankar, S.; Long, Y.; and Fessler, J. A. IEEE Trans. Med. Imag., 37(6): 1498–510. June 2018.
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Y-90 SPECT ML image reconstruction with a new model for tissue-dependent bremsstrahlung production: A proof-of-concept study. Lim, H.; Fessler, J. A.; Wilderman, S. J.; Brooks, A. F.; and Dewaraja, Y. K. Phys. Med. Biol., 63(11): 115001. June 2018.
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Generalizing the optimized gradient method for smooth convex minimization. Kim, D.; and Fessler, J. A. SIAM J. Optim., 28(2): 1920–50. 2018.
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Another look at the Fast Iterative Shrinkage/Thresholding Algorithm (FISTA). Kim, D.; and Fessler, J. A. SIAM J. Optim., 28(1): 223–50. 2018.
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Convolutional dictionary learning: acceleration and convergence. Chun, I. Y.; and Fessler, J. A. IEEE Trans. Im. Proc., 27(4): 1697–712. April 2018.
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Image reconstruction for limited angle electron beam X-ray computed tomography with energy-integrating detectors for multiphase flows. Yoon, S.; Maäkiharju, S. A.; Fessler, J. A.; and Ceccio, S. L. IEEE Trans. Computational Imaging, 4(1): 112–24. March 2018.
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Design of spectral-spatial phase prewinding pulses and their use in small-tip fast recovery steady-state imaging. Williams, S. N.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 79(3): 1377–86. March 2018.
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A PET reconstruction formulation that enforces non-negativity in projection space for bias reduction in Y-90 imaging. Lim, H.; Dewaraja, Y. K.; and Fessler, J. A. Phys. Med. Biol., 63(3): 035042. February 2018.
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Fast spatial resolution analysis of quadratic penalized least-squares image reconstruction with separate real and imaginary roughness penalty: application to MRI. Olafsson, V. T.; Noll, D. C.; and Fessler, J. A. IEEE Trans. Med. Imag., 37(2): 604–14. February 2018.
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Detector blur and correlated noise modeling for digital breast tomosynthesis reconstruction. Zheng, J.; Fessler, J. A.; and Chan, H. IEEE Trans. Med. Imag., 37(1): 116–27. January 2018.
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  2017 (12)
Proximal average algorithm for imaging problems with analysis sparsity-promoting regularization. Nien, H.; and Fessler, J. A. IEEE Trans. Computational Imaging. 2017. Submitted.
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A channelized preconditioning method for accelerated fully 3D iterative CT reconstruction. Fu, L.; Fessler, J. A.; Kinahan, P. E.; and Man, B. D. IEEE Trans. Med. Imag.. 2017. Submitted.
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Improved quantitative Y-90 bremsstrahlung SPECT reconstruction with Monte Carlo scatter modeling. Dewaraja, Y. K.; Chun, S. Y.; Srinivasa, R. N.; Kaza, R. K.; Cuneo, K. C.; Majdalany, B. S.; Novelli, P. M.; Ljungberg, M.; and Fessler, J. A. Med. Phys., 44(12): 6364–76. December 2017.
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Efficient sum of outer products dictionary learning (SOUP-DIL) and its application to inverse problems. Ravishankar, S.; Nadakuditi, R. R.; and Fessler, J. A. IEEE Trans. Computational Imaging, 3(4): 694–709. December 2017.
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Challenges and open problems in signal processing: Panel discussion summary from ICASSP 2017. Eldar, Y. C.; Hero, A. O.; Deng, L.; Fessler, J. A.; Kovacevic, J.; Poor, H. V.; and Young, S. IEEE Sig. Proc. Mag., 34(6): 8–23. November 2017.
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Low-rank and adaptive sparse signal (LASSI) models for highly accelerated dynamic imaging. Ravishankar, S.; Moore, B. E.; Nadakuditi, R. R.; and Fessler, J. A. IEEE Trans. Med. Imag., 36(5): 1116–28. May 2017.
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Female pelvic synthetic CT generation based on joint intensity and shape analysis. Liu, L.; Jolly, S.; Cao, Y.; Vineberg, K.; Fessler, J. A.; and Balter, J. M. Phys. Med. Biol., 62(8): 2935–49. April 2017.
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Segmented separable footprint projector for digital breast tomosynthesis and its application for subpixel reconstruction. Zheng, J.; Fessler, J. A.; and Chan, H. Med. Phys., 44(3): 986–1001. March 2017.
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Efficient, convergent SENSE MRI reconstruction for non-periodic boundary conditions via tridiagonal solvers. Le, M.; and Fessler, J. A. IEEE Trans. Computational Imaging, 3(1): 11–21. March 2017.
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Optimizing MR scan design for model-based T1, T2 estimation from steady-state sequences. Nataraj, G.; Nielsen, J.; and Fessler, J. A. IEEE Trans. Med. Imag., 36(2): 467–77. February 2017.
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On the convergence analysis of the optimized gradient methods. Kim, D.; and Fessler, J. A. J. Optim. Theory Appl., 172(1): 187–205. January 2017.
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Fast variance prediction for iteratively reconstructed CT images with locally quadratic regularization. Schmitt, S. M.; Goodsitt, M. M.; and Fessler, J. A. IEEE Trans. Med. Imag., 36(1): 17–26. January 2017.
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  2016 (10)
A practical light transport system model for chemiluminescence distribution reconstruction. McGaffin, M. G.; Chen, H.; Fessler, J. A.; and Sick, V. IEEE Trans. Computational Imaging. 2016. Submitted.
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Fast dual proximal gradient algorithms with rate $O(1/k^{1.5})$ for convex minimization. Kim, D.; and Fessler, J. A. Oper. Res. Lett.. 2016. Submitted
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Unbiased filtered back-projection in $4π$ Compton imaging with 3D position sensitive detectors. Chu, J.; Streicher, M.; Fessler, J. A.; and He, Z. IEEE Trans. Nuc. Sci., 63(6): 2750–6. December 2016.
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Estrogen depletion and drug treatment alter the microstructure of type I collagen in bone. Cauble, M. A.; Muckley, M. J.; Fang, M.; Fessler, J. A.; Welch, K.; Rothman, E. D.; Orr, B. G.; Duong, L. T.; and Holl, M. M. B. Bone Reports, 5: 243–51. December 2016.
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Rapid inner-volume imaging in the steady-state with 3D selective excitation and small-tip fast recovery (STFR) imaging. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. Mag. Res. Med., 76(4): 1217–23. October 2016.
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Optimized first-order methods for smooth convex minimization. Kim, D.; and Fessler, J. A. Mathematical Programming, 159(1): 81–107. September 2016.
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Relaxed linearized algorithms for faster X-ray CT image reconstruction. Nien, H.; and Fessler, J. A. IEEE Trans. Med. Imag., 35(4): 1090–8. April 2016.
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Joint design of excitation k-space trajectory and RF pulse for small-tip 3D tailored excitation in MRI. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. IEEE Trans. Med. Imag., 35(2): 468–79. February 2016.
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Balanced SSFP-like steady-state imaging using small-tip fast recovery sequence with a spectral pre-winding pulse. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. Mag. Res. Med., 75(2): 839–44. February 2016.
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A female pelvic bone shape model for air/bone separation in support of synthetic CT generation for radiation therapy. Liu, L.; Cao, Y.; Fessler, J. A.; and Balter, J. Phys. Med. Biol., 61(1): 169–82. January 2016.
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  2015 (11)
Integration of bias field correction to improve multispectral classification of soft tissues in support of synthetic CT generation for radiation therapy. Liu, L.; Cao, Y.; Hsu, S.; Nien, H.; Fessler, J. A.; and Balter, J. M. Phys. Med. Biol.. 2015. Submitted.
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Undersampled phase retrieval with outliers. Weller, D. S.; Pnueli, A.; Divon, G.; Radzyner, O.; Eldar, Y. C.; and Fessler, J. A. IEEE Trans. Computational Imaging, 1(4): 247–58. December 2015.
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Alternating dual updates algorithm for X-ray CT reconstruction on the GPU. McGaffin, M.; and Fessler, J. A. IEEE Trans. Computational Imaging, 1(3): 186–99. September 2015.
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Simultaneous fat saturation and magnetization transfer contrast imaging with steady-state incoherent sequences. Zhao, F.; Nielsen, J.; Swanson, S. D.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 74(3): 739–46. September 2015.
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Edge-preserving image denoising via group coordinate descent on the GPU. McGaffin, M.; and Fessler, J. A. IEEE Trans. Im. Proc., 24(4): 1273–81. April 2015.
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Comparison of SIRT and SQS for regularized weighted least squares image reconstruction. Gregor, J.; and Fessler, J. A. IEEE Trans. Computational Imaging, 1(1): 44–55. March 2015.
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Steady-state functional MRI using spoiled small-tip fast recovery (STFR) imaging. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. Mag. Res. Med., 73(2): 536–43. February 2015.
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Regularization designs for uniform spatial resolution and noise properties in statistical image reconstruction for 3D X-ray CT. Cho, J. H.; and Fessler, J. A. IEEE Trans. Med. Imag., 34(2): 678–89. February 2015.
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Fast X-ray CT image reconstruction using a linearized augmented Lagrangian method with ordered subsets. Nien, H.; and Fessler, J. A. IEEE Trans. Med. Imag., 34(2): 388–99. February 2015.
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Fast parallel MR image reconstruction via B1-based, adaptive restart, iterative soft thresholding algorithms (BARISTA). Muckley, M. J.; Noll, D. C.; and Fessler, J. A. IEEE Trans. Med. Imag., 34(2): 578–88. February 2015.
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Combining ordered subsets and momentum for accelerated X-ray CT image reconstruction. Kim, D.; Ramani, S.; and Fessler, J. A. IEEE Trans. Med. Imag., 34(1): 167–78. January 2015.
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  2014 (9)
Dynamic image reconstruction. Weller, D. S.; and Fessler, J. A. IEEE Sig. Proc. Mag.. 2014. Submitted.
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Accelerated computation of regularized field map estimates in MRI. Allison, M. J.; and Fessler, J. A. IEEE Trans. Med. Imag.. 2014. Submitted.
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Balanced SSFP-like imaging with simultaneous water-fat separation and band reduction using small-tip fast recovery imaging. Zhao, F.; Sun, H.; Fessler, J. A.; Nielsen, J.; and Noll, D. C. Mag. Res. Im.. 2014. Submitted.
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Regularized estimation of magnitude and phase of multi-coil B1 field via Bloch-Siegert B1 mapping and coil combination optimizations. Zhao, F.; Fessler, J. A.; Wright, S. M.; and Noll, D. C. IEEE Trans. Med. Imag., 33(10): 2020–30. October 2014.
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Alternating direction method of multiplier for tomography with non-local regularizers. Chun, S. Y.; Dewaraja, Y. K.; and Fessler, J. A. IEEE Trans. Med. Imag., 33(10): 1960–8. October 2014.
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Multi-material decomposition using statistical image reconstruction for spectral CT. Long, Y.; and Fessler, J. A. IEEE Trans. Med. Imag., 33(8): 1614–26. August 2014.
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Strategies for improved 3D small-tip fast recovery (STFR) imaging. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. Mag. Res. Med., 72(2): 389–98. August 2014.
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Monte Carlo SURE-based parameter selection for parallel magnetic resonance imaging reconstruction. Weller, D. S.; Ramani, S.; Nielsen, J.; and Fessler, J. A. Mag. Res. Med., 71(5): 1760–70. May 2014.
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Augmented Lagrangian with variable splitting for faster non-Cartesian L1-SPIRiT MR image reconstruction. Weller, D.; Ramani, S.; and Fessler, J. A. IEEE Trans. Med. Imag., 33(2): 351–61. February 2014.
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  2013 (12)
A convergence proof of the split Bregman method for regularized least-squares problems. Nien, H.; and Fessler, J. A. SIAM J. Imaging Sci.. 2013. Submitted.
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Model based Nyquist ghost correction for EPI. Matakos, A.; Nielsen, J.; and Fessler, J. A. IEEE Trans. Med. Imag.. 2013. Submitted.
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Accelerating ordered subsets image reconstruction for X-ray CT using spatially non-uniform optimization transfer. Kim, D.; Pal, D.; Thibault, J.; and Fessler, J. A. IEEE Trans. Med. Imag., 32(11): 1965–78. November 2013.
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Model-based reconstruction of spectral and spatial source distribution for objects with known motion. Jaworski, J. M.; Wahl, C. G.; Wang, W.; Fessler, J. A.; and He, Z. IEEE Trans. Nuc. Sci., 60(5): 3981–9. October 2013.
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Post-reconstruction non-local means filtering methods using CT side information for quantitative SPECT. Chun, S. Y.; Fessler, J. A.; and Dewaraja, Y. K. Phys. Med. Biol., 58(17): 6225–40. September 2013.
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Non-Cartesian MRI reconstruction with automatic regularization via Monte-Carlo SURE. Ramani, S.; Weller, D. S.; Nielsen, J.; and Fessler, J. A. IEEE Trans. Med. Imag., 32(8): 1411–22. August 2013.
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Modelling the physics in iterative reconstruction for transmission computed tomography. Nuyts, J.; De Man, B.; Fessler, J. A.; Zbijewski, W.; and Beekman, F. J. Phys. Med. Biol., 58(12): R63–96. June 2013.
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Accelerated edge-preserving image restoration without boundary artifacts. Matakos, A.; Ramani, S.; and Fessler, J. A. IEEE Trans. Im. Proc., 22(5): 2019–29. May 2013.
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Accelerated regularized estimation of MR coil sensitivities using augmented Lagrangian methods. Allison, M. J.; Ramani, S.; and Fessler, J. A. IEEE Trans. Med. Imag., 32(3): 556–64. March 2013.
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Noise properties of motion-compensated tomographic image reconstruction methods. Chun, S. Y.; and Fessler, J. A. IEEE Trans. Med. Imag., 32(2): 141–52. February 2013.
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Correction for collimator-detector response in SPECT using point spread function template. Chun, S. Y.; Fessler, J. A.; and Dewaraja, Y. K. IEEE Trans. Med. Imag., 32(2): 295–305. February 2013.
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Source detection performance prediction for a CdZnTe array. Lingenfelter, D. J.; Fessler, J. A.; Scott, C. D.; and He, Z. IEEE Trans. Nuc. Sci., 60(1): 204–12. February 2013.
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  2012 (7)
Investigation of orthonormal wavelets for statistical reconstruction in 3-D CT. Ramani, S.; and Fessler, J. A. Med. Phys.. 2012. Submitted as 12-1078
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Forward-projection architecture for fast iterative image reconstruction in X-ray CT. Kim, J. K.; Fessler, J. A.; and Zhang, Z. IEEE Trans. Sig. Proc., 60(10): 5508–18. October 2012.
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Separate magnitude and phase regularization via compressed sensing. Zhao, F.; Noll, D.; Nielsen, J.; and Fessler, J. A. IEEE Trans. Med. Imag., 31(9): 1713–23. September 2012.
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Regularization parameter selection for nonlinear iterative image restoration and MRI reconstruction using GCV and SURE-based methods. Ramani, S.; Liu, Z.; Rosen, J.; Nielsen, J.; and Fessler, J. A. IEEE Trans. Im. Proc., 21(8): 3659–72. August 2012.
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Spatial resolution properties of motion-compensated image reconstruction methods. Chun, S. Y.; and Fessler, J. A. IEEE Trans. Med. Imag., 31(7): 1413–25. July 2012.
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Fast joint design method for parallel excitation RF pulse and gradient waveforms considering off-resonance. Yoon, D.; Fessler, J. A.; Gilbert, A. C.; and Noll, D. C. Mag. Res. Med., 68(1): 278–85. July 2012.
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A splitting-based iterative algorithm for accelerated statistical X-ray CT reconstruction. Ramani, S.; and Fessler, J. A. IEEE Trans. Med. Imag., 31(3): 677–88. March 2012.
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  2011 (5)
Spatially selective PCASL with parallel excitation. Yoon, D.; Jahanian, H.; Fessler, J. A.; Noll, D. C.; and Hernandez-Garcia, L. Mag. Res. Med.. 2011. Submitted.
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Asymptotic source detection performance of gamma-ray imaging systems under model mismatch. Lingenfelter, D. J.; Fessler, J. A.; Scott, C. D.; and He, Z. IEEE Trans. Sig. Proc., 59(11): 5141–51. November 2011.
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Algorithms for area preserving flows. Kublik, C.; Esedoglu, S.; and Fessler, J. A. SIAM J. Sci. Comp., 33(5): 2382–401. 2011.
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Regularized image reconstruction algorithms for dual-isotope myocardial perfusion SPECT (MPS) imaging using a cross-tracer edge-preserving prior. He, X.; Fessler, J. A.; Cheng, L.; and Frey, E. C. IEEE Trans. Med. Imag., 30(6): 1169–83. June 2011.
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Parallel MR image reconstruction using augmented Lagrangian methods. Ramani, S.; and Fessler, J. A. IEEE Trans. Med. Imag., 30(3): 694–706. March 2011.
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  2010 (6)
3D forward and back-projection for X-ray CT using separable footprints. Long, Y.; Fessler, J. A.; and Balter, J. M. IEEE Trans. Med. Imag., 29(11): 1839–50. November 2010.
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Benefits of position-sensitive detectors for radioactive source detection. Lingenfelter, D. J.; Fessler, J. A.; Scott, C. D.; and He, Z. IEEE Trans. Sig. Proc., 58(9): 4473–83. September 2010.
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Model-based image reconstruction for MRI. Fessler, J. A. IEEE Sig. Proc. Mag., 27(4): 81–9. July 2010. Invited submission to special issue on medical imaging
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Accuracy estimation for projection-to-volume targeting during rotational therapy: A feasibility study. Long, Y.; Fessler, J. A.; and Balter, J. M. Med. Phys., 37(6): 2480–90. June 2010.
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Joint estimation of Stokes images and aberrations from phase-diverse polarimetric measurements. Valenzuela, J. R.; Fessler, J. A.; and Paxman, R. P. J. Opt. Soc. Am. A, 27(5): 1185–93. May 2010.
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Regularized reconstruction in quantitative SPECT using CT side information from hybrid imaging. Dewaraja, Y. K.; Koral, K. F.; and Fessler, J. A. Phys. Med. Biol., 55(9): 2523–9. May 2010.
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  2009 (13)
Regularized B1 mapping in MRI. Funai, A. K.; Fessler, J. A.; Grissom, W.; and Noll, D. C. IEEE Trans. Med. Imag.. 2009. Submitted.
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Statistical sinogram restoration in dual-energy CT for PET attenuation correction. Noh, J.; Fessler, J. A.; and Kinahan, P. E. IEEE Trans. Med. Imag., 28(11): 1688–702. November 2009.
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Fast large-tip-angle multidimensional and parallel RF pulse design in MRI. Grissom, W. A.; Xu, D.; Kerr, A. B.; Fessler, J. A.; and Noll, D. C. IEEE Trans. Med. Imag., 28(10): 1548–59. October 2009.
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Accelerated nonrigid intensity-based image registration using importance sampling. Bhagalia, R.; Fessler, J. A.; and Kim, B. IEEE Trans. Med. Imag., 28(8): 1208–16. August 2009.
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Real-time profiling of respiratory motion: baseline drift, frequency variation and fundamental pattern change. Ruan, D.; Fessler, J. A.; Balter, J. M.; and Keall, P. J. Phys. Med. Biol., 54(15): 4777–92. August 2009.
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Time-reversal and model-based imaging in a THz waveguide. Musheinesh, M. A.; Divin, C. J.; Fessler, J. A.; and Norris, T. B. Optics Express, 17(16): 13663–70. August 2009.
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Signal separation and parameter estimation in non invasive dual-tracer PET scans using reference region approaches. Joshi, A.; Koeppe, R. A.; Fessler, J. A.; and Kilbourn, M. J. Cerebral Blood Flow and Metabolism, 29(7): 1346–57. July 2009.
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Reducing between scanner differences in multi-center PET studies. Joshi, A. D.; Koeppe, R. A.; and Fessler, J. A. NeuroImage, 49(1): 154–9. May 2009.
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Quadratic regularization design for 2D CT. Shi, H. R.; and Fessler, J. A. IEEE Trans. Med. Imag., 28(5): 645–56. May 2009.
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Spectral-spatial pulse design for through-plane phase precompensatory slice selection in T2*-weighted functional MRI. Yip, C.; Yoon, D.; Olafsson, V.; Lee, S.; Grissom, W. A.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 61(5): 1137–47. May 2009.
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Joint reconstruction of Stokes images from polarimetric measurements. Valenzuela, J.; and Fessler, J. A. J. Opt. Soc. Am. A, 26(4): 962–8. April 2009.
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A rotating modulation imager for locating mid-range point sources. Kowash, B. R.; Wehe, D. K.; and Fessler, J. A. Nucl. Instr. Meth. Phys. Res. A., 602(2): 477–83. April 2009.
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A simple regularizer for B-spline nonrigid image registration that encourages local invertibility. Chun, S. Y.; and Fessler, J. A. IEEE J. Sel. Top. Sig. Proc., 3(1): 159–69. February 2009. Special Issue on Digital Image Processing Techniques for Oncology.
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  2008 (8)
Regularized field map estimation in MRI. Funai, A. K.; Fessler, J. A.; Yeo, D. T. B.; Olafsson, V. T.; and Noll, D. C. IEEE Trans. Med. Imag., 27(10): 1484–94. October 2008.
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Fast joint reconstruction of dynamic $R_2^*$ and field maps in functional MRI. Olafsson, V. T.; Noll, D. C.; and Fessler, J. A. IEEE Trans. Med. Imag., 27(9): 1177–88. September 2008.
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Concurrent correction of geometric distortion and motion using the map-slice-to-volume method in EPI. Yeo, D. T. B.; Fessler, J. A.; and Kim, B. Mag. Res. Im., 26(5): 703–14. June 2008.
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Inference of hysteretic respiratory tumour motion from external surrogates: A state augmentation approach. Ruan, D.; Fessler, J. A.; Balter, J. M.; Berbeco, R. I.; Nishioka, S.; and Shirato, H. Phys. Med. Biol., 53(11): 2923–36. June 2008.
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Improving PET receptor binding estimates from Logan plots using principal component analysis. Joshi, A.; Fessler, J. A.; and Koeppe, R. A. J. Cerebral Blood Flow and Metabolism, 28(4): 852–65. April 2008.
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Additive angle method for fast large-tip-angle RF pulse design in parallel excitation. Grissom, W. A.; Yip, C.; Wright, S. M.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 59(4): 779–87. April 2008.
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Iterative sorting for four-dimensional CT images based on internal anatomy motion. Zeng, R.; Fessler, J. A.; Balter, J. M.; and Balter, P. A. Med. Phys., 35(3): 917–26. March 2008.
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Mean position tracking of respiratory motion. Ruan, D.; Fessler, J. A.; and Balter, J. M. Med. Phys., 35(2): 782–92. February 2008.
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  2007 (12)
Simultaneous statistical estimation of motion and activity in respiratory gated PET. Jacobson, M. W.; and Fessler, J. A. IEEE Trans. Med. Imag.. 2007. Submitted.
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Mismatch location and scale selection for automatic intensity based image registration. Narayanan, R.; Fessler, J. A.; Ma, B.; Park, H.; and Meyer, C. R. Pattern Recognition. 2007. Submitted.
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Event detection in electrocorticogram using methods based on a two-covariance model. Huggins, J. E.; Solo, V.; Chun, S. Y.; Fessler, J. A.; Damannagari, C.; Levine, S. P.; and Graimann, B. IEEE Trans. Neural Sys. Rehab. Eng.. 2007. Submitted.
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Real-time prediction of respiratory motion based on nonparametric local regression methods. Ruan, D.; Fessler, J. A.; and Balter, J. M. Phys. Med. Biol., 52(23): 7137–52. December 2007.
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Zero and first-order phase shift correction for field map estimation with dual-echo GRE using bipolar gradients. Yeo, D. T. B.; Chenevert, T. L.; Fessler, J. A.; and Kim, B. Mag. Res. Im., 25(9): 1263–71. November 2007.
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On NUFFT-based gridding for non-Cartesian MRI. Fessler, J. A. J. Mag. Res., 188(2): 191–5. October 2007.
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Analysis of observer performance in unknown-location tasks for tomographic image reconstruction. Yendiki, A.; and Fessler, J. A. J. Opt. Soc. Am. A, 24(12): B99–109. December 2007. Special issue on Image Quality.
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An expanded theoretical treatment of iteration-dependent majorize-minimize algorithms. Jacobson, M. W.; and Fessler, J. A. IEEE Trans. Im. Proc., 16(10): 2411–22. October 2007.
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Joint design of trajectory and RF pulses for parallel excitation. Yip, C.; Grissom, W. A.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 58(3): 598–604. September 2007.
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Optimizing the number of equivalent iterations of 3D OSEM in SPECT reconstruction of I-131 focal activities. Koral, K. F.; Kritzman, J. N.; Rogers, V. E.; Ackermann, R. J.; and Fessler, J. A. Nucl. Instr. Meth. Phys. Res. A., 579(1): 326–9. August 2007.
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Fast predictions of variance images for fan-beam transmission tomography with quadratic regularization. Zhang-O'Connor, Y.; and Fessler, J. A. IEEE Trans. Med. Imag., 26(3): 335–46. March 2007.
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Estimating 3-D respiratory motion from orbiting views by tomographic image registration. Zeng, R.; Fessler, J. A.; and Balter, J. M. IEEE Trans. Med. Imag., 26(2): 153–63. February 2007.
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  2006 (14)
Nonrigid registration with regularization incorporating local tissue rigidity. Ruan, D.; Fessler, J. A.; Balter, J.; and Kessler, M. Phys. Med. Biol.. 2006. Submitted.
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A 2D k-space measurement method using pencil excitation. Lee, S.; Lee, G.; Olafsson, V.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med.. 2006. Submitted.
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A robust, dynamic R2*-and-field-map-corrected image reconstruction for single shot self-refocusing trajectories at 3T. Lee, S.; Noll, D. C.; and Fessler, J. A. Mag. Res. Med.. 2006. Submitted.
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Advanced three-dimensional tailored RF pulse for signal recovery in $T_2^*$-weighted functional magnetic resonance imaging. Yip, C.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 56(5): 1050–9. November 2006.
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Spatial domain method for the design of RF pulses in multi-coil parallel excitation. Grissom, W.; Yip, C.; Zhang, Z.; Stenger, V. A.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 56(3): 620–9. September 2006.
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Dual energy CT attenuation correction methods for quantitative assessment of response to cancer therapy with PET/CT imaging. Kinahan, P. E.; Alessio, A. M.; and Fessler, J. A. Technology in Cancer Research and Treatment, 5(4): 319–28. August 2006.
Dual energy CT attenuation correction methods for quantitative assessment of response to cancer therapy with PET/CT imaging [pdf]Paper   link   bibtex  
Exploring breathing pattern irregularity with projection-based method. Ruan, D.; Fessler, J. A.; Balter, J. M.; and Sonke, J. Med. Phys., 33(7): 2491–9. July 2006.
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Incorporation of system resolution compensation (RC) in the ordered-subset transmission (OSTR) algorithm for transmission imaging in SPECT. Feng, B.; Fessler, J. A.; and King, M. A. IEEE Trans. Med. Imag., 25(7): 941–9. July 2006.
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Evaluation of the ordered-subset transmission (OSTR) algorithm for transmission imaging on SPECT systems using axially overlapping cone-beams. Feng, B.; Fessler, J. A.; Pretorius, P. H.; Beach, R. D.; Zeng, G. L.; and King, M. A. IEEE Trans. Nuc. Sci., 53(3): 1221–9. June 2006.
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Near optimal signal detection for finite state Markov signals with application to magnetic resonance force microscopy. Ting, M.; Hero, A. O.; Rugar, D.; Yip, C.; and Fessler, J. A. IEEE Trans. Sig. Proc., 54(6): 2049–62. June 2006.
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Fourier-based forward and back-projectors in iterative fan-beam tomographic image reconstruction. Zhang-O'Connor, Y.; and Fessler, J. A. IEEE Trans. Med. Imag., 25(5): 582–9. May 2006.
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Convergent incremental optimization transfer algorithms: Application to tomography. Ahn, S.; Fessler, J. A.; Blatt, D.; and Hero, A. O. IEEE Trans. Med. Imag., 25(3): 283–96. March 2006.
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3-D Monte Carlo-based scatter compensation in quantitative I-131 SPECT reconstruction. Dewaraja, Y. K.; Ljungberg, M.; and Fessler, J. A. IEEE Trans. Nuc. Sci., 53(1): 181–8. February 2006.
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Analysis of observer performance in known-location tasks for tomographic image reconstruction. Yendiki, A.; and Fessler, J. A. IEEE Trans. Med. Imag., 25(1): 28–41. January 2006.
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  2005 (5)
Iterative RF pulse design for multidimensional, small-tip-angle selective excitation. Yip, C.; Fessler, J. A.; and Noll, D. C. Mag. Res. Med., 54(4): 908–17. October 2005.
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Toeplitz-based iterative image reconstruction for MRI with correction for magnetic field inhomogeneity. Fessler, J. A.; Lee, S.; Olafsson, V. T.; Shi, H. R.; and Noll, D. C. IEEE Trans. Sig. Proc., 53(9): 3393–402. September 2005.
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Respiratory motion estimation from slowly rotating X-ray projections: Theory and simulation. Zeng, R.; Fessler, J. A.; and Balter, J. M. Med. Phys., 32(4): 984–91. April 2005.
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Conjugate phase MRI reconstruction with spatially variant sample density correction. Noll, D. C.; Fessler, J. A.; and Sutton, B. P. IEEE Trans. Med. Imag., 24(3): 325–36. March 2005.
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Diffeomorphic nonlinear transformations: A local parametric approach for image registration. Narayanan, R.; Fessler, J. A.; Park, H.; and Meyer, C. R. 2005.
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  2004 (10)
Efficient calculation of resolution and covariance for fully-3D SPECT. Stayman, J. W.; and Fessler, J. A. IEEE Trans. Med. Imag., 23(12): 1543–56. December 2004.
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Intensity-based image registration using robust correlation coefficients. Kim, J.; and Fessler, J. A. IEEE Trans. Med. Imag., 23(11): 1430–44. November 2004.
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Pragmatic fully 3D image reconstruction for the MiCES mouse imaging PET scanner. Lee, K.; Kinahan, P. E.; Fessler, J. A.; Miyaoka, R. S.; Janes, M.; and Lewellen, T. K. Phys. Med. Biol., 49(19): 4563–78. October 2004.
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Determining total I-131 activity within a VoI using SPECT, a UHE collimator, OSEM, and a constant conversion factor. Koral, K. F.; Yendiki, A.; Lin, Q.; Dewaraja, Y. K.; and Fessler, J. A. IEEE Trans. Nuc. Sci., 51(3): 611–8. June 2004.
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Dynamic field map estimation using a spiral-in / spiral-out acquisition. Sutton, B. P.; Noll, D. C.; and Fessler, J. A. Mag. Res. Med., 51(6): 1194–204. June 2004.
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A comparison of rotation- and blob-based system models for 3D SPECT with depth-dependent detector response. Yendiki, A.; and Fessler, J. A. Phys. Med. Biol., 49(11): 2157–68. June 2004.
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Penalized-likelihood image reconstruction for digital holography. Sotthivirat, S.; and Fessler, J. A. J. Opt. Soc. Am. A, 21(5): 737–50. May 2004.
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Emission image reconstruction for randoms-precorrected PET allowing negative sinogram values. Ahn, S.; and Fessler, J. A. IEEE Trans. Med. Imag., 23(5): 591–601. May 2004.
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Iterative tomographic image reconstruction using Fourier-based forward and back- projectors. Matej, S.; Fessler, J. A.; and Kazantsev, I. G. IEEE Trans. Med. Imag., 23(4): 401–12. April 2004.
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Compensation for nonuniform resolution using penalized-likelihood reconstruction in space-variant imaging systems. Stayman, J. W.; and Fessler, J. A. IEEE Trans. Med. Imag., 23(3): 269–84. March 2004.
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  2003 (7)
Feasibility study of Compton scattering enhanced multiple pinhole imager for nuclear medicine. Meng, L. J.; Rogers, W. L.; Clinthorne, N. H.; and Fessler, J. A. IEEE Trans. Nuc. Sci., 50(5): 1609–17. October 2003.
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A penalized-likelihood image reconstruction method for emission tomography, compared to post-smoothed maximum-likelihood with matched spatial resolution. Nuyts, J.; and Fessler, J. A. IEEE Trans. Med. Imag., 22(9): 1042–52. September 2003.
doi   link   bibtex  
Segmentation-free statistical image reconstruction for polyenergetic X-ray computed tomography with experimental validation. Elbakri, I. A.; and Fessler, J. A. Phys. Med. Biol., 48(15): 2543–78. August 2003.
doi   link   bibtex  
Globally convergent image reconstruction for emission tomography using relaxed ordered subsets algorithms. Ahn, S.; and Fessler, J. A. IEEE Trans. Med. Imag., 22(5): 613–26. May 2003.
doi   link   bibtex  
Relaxed ordered-subsets algorithm for penalized-likelihood image restoration. Sotthivirat, S.; and Fessler, J. A. J. Opt. Soc. Am. A, 20(3): 439–49. March 2003.
doi   link   bibtex  
Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities. Sutton, B. P.; Noll, D. C.; and Fessler, J. A. IEEE Trans. Med. Imag., 22(2): 178–88. February 2003.
doi   link   bibtex  
Nonuniform fast Fourier transforms using min-max interpolation. Fessler, J. A.; and Sutton, B. P. IEEE Trans. Sig. Proc., 51(2): 560–74. February 2003.
doi   link   bibtex  
  2002 (5)
Mean and variance of coincidence photon counting with deadtime. Yu, D. F.; and Fessler, J. A. Nucl. Instr. Meth. Phys. Res. A., 488(1-2): 362–74. August 2002.
doi   link   bibtex  
Image recovery using partitioned-separable paraboloidal surrogate coordinate ascent algorithms. Sotthivirat, S.; and Fessler, J. A. IEEE Trans. Im. Proc., 11(3): 306–17. March 2002.
doi   link   bibtex  
Edge-preserving tomographic reconstruction with nonlocal regularization. Yu, D. F.; and Fessler, J. A. IEEE Trans. Med. Imag., 21(2): 159–73. February 2002.
doi   link   bibtex  
Statistical image reconstruction for polyenergetic X-ray computed tomography. Elbakri, I. A.; and Fessler, J. A. IEEE Trans. Med. Imag., 21(2): 89–99. February 2002.
doi   link   bibtex   1 download  
Clinically feasible reconstruction of 3d whole-body PET/CT data using blurred anatomical labels. Comtat, C.; Kinahan, P. E.; Fessler, J. A.; Beyer, T.; Townsend, D. W.; Defrise, M.; and Michel, C. Phys. Med. Biol., 47(1): 1–20. January 2002.
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  2001 (2)
A feasibility study of mutual information based set-up error estimator for radiotherapy. Kim, J.; Fessler, J. A.; Lam, K. L.; Balter, J. M.; and Ten Haken, R. K. Med. Phys., 28(12): 2507–17. December 2001.
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Improved modeling of system response in list mode EM reconstruction of Compton scatter camera images. Wilderman, S. J.; Fessler, J. A.; Clinthorne, N. H.; LeBlanc, J. W.; and Rogers, W. L. IEEE Trans. Nuc. Sci., 48(1): 111–6. February 2001.
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  2000 (5)
Maximum likelihood transmission image reconstruction for overlapping transmission beams. Yu, D. F.; Fessler, J. A.; and Ficaro, E. P. IEEE Trans. Med. Imag., 19(11): 1094–1105. November 2000.
doi   link   bibtex  
Regularization for uniform spatial resolution properties in penalized-likelihood image reconstruction. Stayman, J. W.; and Fessler, J. A. IEEE Trans. Med. Imag., 19(6): 601–15. June 2000.
doi   link   bibtex  
Mean and variance of singles photon counting with deadtime. Yu, D. F.; and Fessler, J. A. Phys. Med. Biol., 45(7): 2043–56. July 2000.
doi   link   bibtex  
Exact distribution of edge-preserving MAP estimators for linear signal models with Gaussian measurement noise. Fessler, J. A.; Erdogan, H.; and Wu, W. B. IEEE Trans. Im. Proc., 9(6): 1049–56. June 2000.
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Tomographic reconstruction of tracer gas concentration profiles in a room with the use of a single OP-FTIR and two iterative algorithms: ART and PWLS. Park, D. Y.; Fessler, J. A.; Yost, M. G.; and Levine, S. P. J Air Waste Manag Assoc, 50(3): 357–70. March 2000.
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  1999 (5)
Ordered subsets algorithms for transmission tomography. Erdogan, H.; and Fessler, J. A. Phys. Med. Biol., 44(11): 2835–51. November 1999.
doi   link   bibtex  
Monotonic algorithms for transmission tomography. Erdogan, H.; and Fessler, J. A. IEEE Trans. Med. Imag., 18(9): 801–14. September 1999.
doi   link   bibtex  
Penalized-likelihood estimators and noise analysis for randoms-precorrected PET transmission scans. Yavuz, M.; and Fessler, J. A. IEEE Trans. Med. Imag., 18(8): 665–74. August 1999.
doi   link   bibtex  
Conjugate-gradient preconditioning methods for shift-variant PET image reconstruction. Fessler, J. A.; and Booth, S. D. IEEE Trans. Im. Proc., 8(5): 688–99. May 1999.
doi   link   bibtex  
Minimax emission computed tomography using high resolution anatomical side information and B-spline models. Hero, A. O.; Piramuthu, R.; Titus, S. R.; and Fessler, J. A. IEEE Trans. Info. Theory, 45(3): 920–38. April 1999.
doi   link   bibtex  
  1998 (3)
Statistical image reconstruction methods for randoms-precorrected PET scans. Yavuz, M.; and Fessler, J. A. Med. Im. Anal., 2(4): 369–78. December 1998.
doi   link   bibtex  
On the convergence of mean field procedures for MRF's. Fessler, J. A. IEEE Trans. Im. Proc., 7(6): 917. June 1998.
doi   link   bibtex  
Spatial resolution and noise tradeoffs in pinhole imaging system design: A density estimation approach. Fessler, J. A. Optics Express, 2(6): 237–53. March 1998.
doi   link   bibtex  
  1997 (11)
Preliminary results from intensity-based CT-SPECT fusion in I-131 anti-B1 monoclonal-antibody therapy of lymphoma. Koral, K. F.; Lin, S.; Fessler, J. A.; Kaminski, M. S.; and Wahl, R. L. Cancer, 80(S12): 2538–44. December 1997.
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A proposed method for correcting aperture penetration in high energy slit aperture and pinhole SPECT. Wrobel, M. C.; Clinthorne, N. H.; Fessler, J. A.; Zhang, Y.; Wilderman, S. J.; and Rogers, W. L. IEEE Trans. Nuc. Sci., 44(4): 1564–70. August 1997.
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Statistical image reconstruction in PET with compensation for missing data. Kinahan, P. E.; Fessler, J. A.; and Karp, J. S. IEEE Trans. Nuc. Sci., 44(4): 1552–7. August 1997.
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New statistical models for randoms-precorrected PET scans. Yavuz, M.; and Fessler, J. A. In Duncan, J; and Gindi, G, editor(s), Information Processing in Medical Im., volume 1230, of Lecture Notes in Computer Science, pages 190–203. Springer-Verlag, Berlin, 1997.
doi   link   bibtex  
Grouped-coordinate ascent algorithms for penalized-likelihood transmission image reconstruction. Fessler, J. A.; Ficaro, E. P.; Clinthorne, N. H.; and Lange, K. IEEE Trans. Med. Imag., 16(2): 166–75. April 1997.
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Invited discussion of ``The EM algorithm - An old folk song sung to a fast new tune'' by X.-L. Meng and D. van Dyk. Fessler, J. A. J. Royal Stat. Soc. Ser. B, 59(3): 553–4. 1997.
Invited discussion of ``The EM algorithm - An old folk song sung to a fast new tune'' by X.-L. Meng and D. van Dyk [link]Paper   link   bibtex  
Recursive algorithms for computing the Cramer-Rao bound. Hero, A. O.; Usman, M.; Sauve, A. C.; and Fessler, J. A. IEEE Trans. Sig. Proc., 45(3): 803–7. March 1997.
doi   link   bibtex  
Positron emission tomography. Ollinger, J. M.; and Fessler, J. A. IEEE Sig. Proc. Mag., 14(1): 43–55. January 1997.
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Variance images for penalized-likelihood image reconstruction. Fessler, J. A. 1997. Originally submitted to T-MI in 1997. It required a major revision that I will never complete because this work was superceded by Yingying Zhang-O'Connor's Mar. 2007 T-MI paper on fast variance prediction.
Variance images for penalized-likelihood image reconstruction [pdf]Paper   link   bibtex  
Development and evaluation of an overlapped multiple emitting ray (OMER) geometry for application of open path FTIR with computed tomographic method in workplaces. Park, D. Y.; Yost, M. G.; Fessler, J. A.; and Levine, S. P. J. Air Wast Manag. Assoc.. 1997. I do not know what actually happened to this paper. The first author had told me it was accepted, but it never appeared.
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Equivalence of pixel-driven and rotation-based backprojectors for tomographic image reconstruction. Fessler, J. A. 1997. Rejected by IEEE Transactions on Medical Imaging.
Equivalence of pixel-driven and rotation-based backprojectors for tomographic image reconstruction [pdf]Paper   link   bibtex  
  1996 (5)
In vivo mapping of cholinergic terminals in normal aging, Alzheimer's disease and Parkinson's disease. Kuhl, D. E.; Minoshima, S.; Fessler, J. A.; Frey, K. A.; Foster, N. L.; Ficaro, E. P.; Wieland, D. M.; and Koeppe, R. A. Annals of Neurology, 40(3): 399–410. September 1996.
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Spatial resolution properties of penalized-likelihood image reconstruction methods: Space-invariant tomographs. Fessler, J. A.; and Rogers, W. L. IEEE Trans. Im. Proc., 5(9): 1346–58. September 1996.
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Exploring estimator bias-variance tradeoffs using the uniform CR bound. Hero, A. O.; Fessler, J. A.; and Usman, M. IEEE Trans. Sig. Proc., 44(8): 2026–41. August 1996.
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Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): Applications to tomography. Fessler, J. A. IEEE Trans. Im. Proc., 5(3): 493–506. March 1996.
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Simultaneous transmission/emission myocardial perfusion tomography: Diagnostic accuracy of attenuation-corrected 99m-Tc-Sestamibi SPECT. Ficaro, E. P.; Fessler, J. A.; Shreve, P. D.; Kritzman, J. N.; Rose, P. A.; and Corbett, J. R. Circulation, 93(3): 463–73. February 1996.
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  1995 (7)
Hybrid Poisson/polynomial objective functions for tomographic image reconstruction from transmission scans. Fessler, J. A. IEEE Trans. Im. Proc., 4(10): 1439–50. October 1995.
doi   link   bibtex   1 download  
Globally convergent algorithms for maximum a posteriori transmission tomography. Lange, K.; and Fessler, J. A. IEEE Trans. Im. Proc., 4(10): 1430–8. October 1995.
doi   link   bibtex  
Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms. Fessler, J. A.; and Hero, A. O. IEEE Trans. Im. Proc., 4(10): 1417–29. October 1995.
doi   link   bibtex  
Simultaneous transmission-emission Tl-201 cardiac SPECT: Effect of attenuation correction on myocardial tracer distribution. Ficaro, E. P.; Fessler, J. A.; Ackerman, R. J.; Rogers, W. L.; Corbett, J. R.; and Schwaiger, M. J. Nuc. Med., 36(6): 921–31. June 1995.
Simultaneous transmission-emission Tl-201 cardiac SPECT: Effect of attenuation correction on myocardial tracer distribution [link]Paper   link   bibtex  
Convergence in norm for alternating expectation-maximization (EM) type algorithms. Hero, A. O.; and Fessler, J. A. Statistica Sinica, 5(1): 41–54. January 1995.
Convergence in norm for alternating expectation-maximization (EM) type algorithms [pdf]Paper   link   bibtex  
Suboptimality of the truncated SVD for ill-conditioned inverse problems. Fessler, J. A. 1995. A version of this paper was accepted for publication in IEEE Trans. on Image Processing. When the proofs arrived, I realized the main inequality was backwards, something that neither the authors nor the reviewers had noticed previously. We withdrew the paper...
Suboptimality of the truncated SVD for ill-conditioned inverse problems [pdf]Paper   link   bibtex  
On weighted least squares tomographic reconstruction and the ``consistency condition'' of Chinn and Huang. Fessler, J. A. 1995. Rejected by IEEE Signal Processing Letters.
On weighted least squares tomographic reconstruction and the ``consistency condition'' of Chinn and Huang [pdf]Paper   link   bibtex  
  1994 (8)
Space-alternating generalized expectation-maximization algorithm. Fessler, J. A.; and Hero, A. O. IEEE Trans. Sig. Proc., 42(10): 2664–77. October 1994.
doi   link   bibtex  
A recursive algorithm for computing Cramer-Rao-type bounds on estimator covariance. Hero, A. O.; and Fessler, J. A. IEEE Trans. Info. Theory, 40(4): 1205–10. July 1994.
doi   link   bibtex  
Penalized weighted least-squares image reconstruction for positron emission tomography. Fessler, J. A. IEEE Trans. Med. Imag., 13(2): 290–300. June 1994.
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Model-based estimation with boundary side information or boundary regularization. Chiao, P. C.; Rogers, W. L.; Fessler, J. A.; Clinthorne, N. H.; and Hero, A. O. IEEE Trans. Med. Imag., 13(2): 227–34. June 1994.
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Model-based estimation for dynamic cardiac studies using ECT. Chiao, P. C.; Rogers, W. L.; Clinthorne, N. H.; Fessler, J. A.; and Hero, A. O. IEEE Trans. Med. Imag., 13(2): 217–26. June 1994.
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Comparison of Americium-241 and Technicium-99m as transmission sources for attenuation correction of Thallium-201 SPECT imaging of the heart. Ficaro, E. P.; Fessler, J. A.; Rogers, W. L.; and Schwaiger, M. J. Nuc. Med., 35(4): 652–63. April 1994.
Comparison of Americium-241 and Technicium-99m as transmission sources for attenuation correction of Thallium-201 SPECT imaging of the heart [link]Paper   link   bibtex  
In vivo mapping of cholinergic neurons in the human brain using SPECT and IBVM. Kuhl, D. E.; Koeppe, R. A.; Fessler, J. A.; Minoshima, S.; Ackerman, R. J.; Carey, J. E.; Gildersleeve, D. L.; Frey, K. A.; and Wieland, D. M. J. Nuc. Med., 35(3): 405–10. March 1994.
In vivo mapping of cholinergic neurons in the human brain using SPECT and IBVM [link]Paper   link   bibtex  
Application of the uniform CR bound for SPECT performance evaluation and system design. Usman, M.; Hero, A. O.; and Fessler, J. A. 1994. Rejected by IEEE Transactions on Medical Imaging.
Application of the uniform CR bound for SPECT performance evaluation and system design [pdf]Paper   link   bibtex  
  1993 (3)
On complete data spaces for PET reconstruction algorithms. Fessler, J. A.; Clinthorne, N. H.; and Rogers, W. L. IEEE Trans. Nuc. Sci., 40(4): 1055–61. August 1993.
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Tomographic reconstruction using information weighted smoothing splines. Fessler, J. A. In Barrett, H H; and Gmitro, A F, editor(s), Information Processing in Medical Im., volume 687, of Lecture Notes in Computer Science, pages 372–86. Springer-Verlag, Berlin, 1993.
doi   link   bibtex  
Noniterative tomographic reconstruction using simultaneous weighted spline smoothing and deconvolution. Fessler, J. A. 1993. An extension of my 1993 IPMI paper that I never finished.
Noniterative tomographic reconstruction using simultaneous weighted spline smoothing and deconvolution [pdf]Paper   link   bibtex  
  1992 (2)
Regularized emission image reconstruction using imperfect side information. Fessler, J. A.; Clinthorne, N. H.; and Rogers, W. L. IEEE Trans. Nuc. Sci., 39(5): 1464–71. October 1992.
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Unified reconstruction-segmentation for PET attenuation correction. Fessler, J. A. 1992. I prepared this in about 1992 as a longer version of my NSS/MIC presentation that year. I will never finish it; PET-CT made it irrelevant.
Unified reconstruction-segmentation for PET attenuation correction [pdf]Paper   link   bibtex  
  1991 (4)
Object-based 3-D reconstruction of arterial trees from magnetic resonance angiograms. Fessler, J. A.; and Macovski, A. IEEE Trans. Med. Imag., 10(1): 25–39. March 1991.
doi   link   bibtex  
Nonparametric fixed-interval smoothing of nonlinear vector-valued measurements. Fessler, J. A. IEEE Trans. Sig. Proc., 39(4): 907–13. April 1991.
doi   link   bibtex  
Nonparametric fixed-interval smoothing with vector splines. Fessler, J. A. IEEE Trans. Sig. Proc., 39(24): 852–9. April 1991.
doi   link   bibtex  
Robust maximum-likelihood position estimation in scintillation cameras. Fessler, J. A.; Rogers, W. L.; and Clinthorne, N. H. 1991. Rejected by IEEE Trans. on Nuclear Science.
Robust maximum-likelihood position estimation in scintillation cameras [pdf]Paper   link   bibtex  
  1989 (1)
A Bayesian approach to reconstruction from incomplete projections of a multiple object 3-D domain. Bresler, Y.; Fessler, J. A.; and Macovski, A. IEEE Trans. Patt. Anal. Mach. Int., 11(8): 840–58. August 1989.
doi   link   bibtex  
  1988 (1)
Model based estimation techniques for 3-D reconstruction from projections. Bresler, Y.; Fessler, J. A.; and Macovski, A. Machine Vision and Applications, 1(2): 115–26. June 1988.
doi   link   bibtex  

Conference Papers

BibBase fessler, j
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  2025 (3)
FlowDAS: A flow-based framework for data assimilation. Chen, S.; Jia, Y.; Qu, Q.; Sun, H.; and Fessler, J. A. 2025.
FlowDAS: A flow-based framework for data assimilation [link]Paper   link   bibtex  
SPAR: refining a single pretrained diffusion model to solve inverse problems in many modalities. Hu, J.; Li, Z.; Song, B.; Shen, L.; and Fessler, J. A. 2025.
SPAR: refining a single pretrained diffusion model to solve inverse problems in many modalities [link]Paper   link   bibtex  
A stochastic interpolant-based framework for data assimilation. Chen, S.; Jia, Y.; Qu, Q.; Sun, H.; and Fessler, J. A. 2025.
A stochastic interpolant-based framework for data assimilation [link]Paper   link   bibtex  
  2024 (2)
Learning image priors through patch-based diffusion models for solving inverse problems. Hu, J.; Song, B.; Xu, X.; Shen, L.; and Fessler, J. A. 2024.
Learning image priors through patch-based diffusion models for solving inverse problems [link]Paper   link   bibtex  
DiffusionBlend: learning 3D image prior through position-aware diffusion score blending for 3D computed tomography reconstruction. Song, B.; Hu, J.; Luo, Z.; Fessler, J. A.; and Shen, L. 2024.
DiffusionBlend: learning 3D image prior through position-aware diffusion score blending for 3D computed tomography reconstruction [link]Paper   link   bibtex  
  2023 (4)
Deep CNN task-based image quality assessment: application to digital breast tomosynthesis reconstruction and denoising. Gao, M.; Helvie, M. A.; Samala, R. K.; Hadjiyski, L. M.; Fessler, J. A.; and Chan, H. 2023.
doi   link   bibtex  
HeMPPCAT: mixtures of probabilistic principal component analysers for data with heteroscedastic noise. Xu, A.; Balzano, L.; and Fessler, J. A. 2023.
doi   link   bibtex  
ALPCAH: Sample-wise heteroscedastic PCA with tail singular value regularization. Cavazos, J. A. S.; Fessler, J. A.; and Balzano, L. 2023.
doi   link   bibtex  
Poisson-Gaussian holographic phase retrieval with score-based image prior. Li, Z.; Hu, J.; Xu, X.; Shen, L.; and Fessler, J. A. 2023.
Poisson-Gaussian holographic phase retrieval with score-based image prior [link]Paper   link   bibtex  
  2022 (3)
Deep convolutional neural network regularized digital breast tomosynthesis reconstruction with detector blur and correlated noise modeling. Gao, M.; Fessler, J. A.; and Chan, H. 2022.
doi   link   bibtex  
ESR-net: an efficient image super-resolution network for SPECT reconstruction. Li, Z.; Dewaraja, Y. K.; and Fessler, J. A. 2022.
doi   link   bibtex  
Uniform \Cramer-Rao lower bound analysis for phase retrieval algorithms. Li, Z.; and Fessler, J. 2022. To appear
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  2021 (5)
Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images. Gao, M.; Fessler, J. A.; and Chan, H. 2021.
doi   link   bibtex  
Jigsaw: A slice-and-dice approach to non-uniform FFT acceleration for MRI image reconstruction. West, B. L.; Mirhosseini, A.; Fessler, J. A.; and Wenisch, T. F. 2021.
doi   link   bibtex  
Motivating bilevel approaches to filter learning: A case study. Crockett, C.; and Fessler, J. A. 2021.
doi   link   bibtex  
Poisson phase retrieval with Wirtinger flow. Li, Z.; Fessler, J. A.; and Lange, K. 2021.
doi   link   bibtex  
Efficient multi-GPU shared memory via automatic optimization of fine-grained transfers. Muthukrishnan, H.; Nellans, D.; Lustig, D.; Fessler, J. A.; and Wenisch, T. 2021.
doi   link   bibtex  
  2020 (9)
Joint low-count PET/CT segmentation and reconstruction with paired variational neural networks. Lim, H.; Dewaraja, Y. K.; and Fessler, J. A. 2020.
doi   link   bibtex  
Deep convolutional neural network denoising for digital breast tomosynthesis reconstruction. Gao, M.; Samala, R. K.; Fessler, J. A.; and Chan, H. 2020.
doi   link   bibtex   1 download  
Light-field reconstruction and depth estimation from focal stack images using convolutional neural networks. Huang, Z.; Fessler, J. A.; Norris, T. B.; and Chun, I. Y. 2020. Invited
doi   link   bibtex  
Block axial checkerboarding: A distributed algorithm for helical X-Ray CT reconstruction. Murthy, N.; and Fessler, J. A. 2020.
doi   link   bibtex  
A temporal model for task-based functional MR images. Lin, C. Y.; Noll, D. C.; and Fessler, J. A. 2020.
doi   link   bibtex  
Generalizability test of deep learning-based CT image denoising. Zeng, R.; Lin, C.; Li, Q.; Lu, J.; Fessler, J. A.; and Myers, K. J. 2020.
Generalizability test of deep learning-based CT image denoising [link]Paper   link   bibtex  
Segmentation-free statistical method for polyenergetic X-ray computed tomography with a calibration step. Martinez, C.; Fessler, J. A.; Desco, M.; and Abella, M. 2020.
Segmentation-free statistical method for polyenergetic X-ray computed tomography with a calibration step [link]Paper   link   bibtex  
Region of interest image reconstruction for Compton imaging using 3D position sensing CdZnTe. Nwadeyi, V. E.; Fessler, J. A.; and He, Z. 2020.
Region of interest image reconstruction for Compton imaging using 3D position sensing CdZnTe [link]Paper   link   bibtex  
A deep residual learning network for practical voxel dosimetry in radionuclide therapy. Li, Z.; Fessler, J. A.; Mikell, J. K.; Wilderman, S. J.; and Dewaraja, Y. K. 2020.
doi   link   bibtex  
  2019 (5)
BCD-net for low-dose CT reconstruction: Acceleration, convergence, and generalization. Zheng, X.; Chun, I. Y.; Long, Y.; and Fessler, J. A. 2019.
doi   link   bibtex  
SPECT/CT scatter correction using a deep convolutional neural network: implementation in Y-90 imaging. Xiang, H.; Lim, H.; Fessler, J. A.; and Dewaraja, Y. K. 2019.
doi   link   bibtex  
Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems. Crockett, C.; Hong, D.; Chun, I. Y.; and Fessler, J. A. 2019. Invited submission
doi   link   bibtex  
Probabilistic PCA for heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2019. Invited submission
doi   link   bibtex  
Blind unitary transform learning for inverse problems in light-field imaging. Blocker, C. J.; and Fessler, J. A. 2019.
doi   link   bibtex  
  2018 (15)
Accelerated methods for low-rank plus sparse image reconstruction. Lin, C. Y.; and Fessler, J. A. 2018.
doi   link   bibtex  
Image-domain material decomposition using data-driven sparsity models for dual-energy CT. Li, Z.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2018.
doi   link   bibtex  
Accelerated high B-value diffusion-weighted imaging via phase-constrained low-rank tensor model. Liu, L.; Johansson, A.; Balter, J. M.; Cao, Y.; and Fessler, J. A. 2018.
doi   link   bibtex  
Deep dictionary-transform learning for image reconstruction. Ravishankar, S.; Lahiri, A.; Blocker, C.; and Fessler, J. A. 2018.
doi   link   bibtex  
Statistical image reconstruction with sample-based beam-hardening compensation for X-ray CT. Martinez, C.; Fessler, J. A.; Desco, M.; and Abella, M. 2018.
Statistical image reconstruction with sample-based beam-hardening compensation for X-ray CT [link]Paper   link   bibtex  
Improving GPU scaling for X-ray CT. Muthukrishnan, H.; Wenisch, T. F.; and Fessler, J. A. 2018.
Improving GPU scaling for X-ray CT [link]Paper   link   bibtex  
A memory-efficient algorithm for large-scale sparsity regularized image reconstruction. Ongie, G.; Murthy, N.; Balzano, L.; and Fessler, J. A. 2018.
A memory-efficient algorithm for large-scale sparsity regularized image reconstruction [link]Paper   link   bibtex  
Deep BCD-net using identical encoding-decoding CNN structures for iterative image recovery. Chun, I. Y.; and Fessler, J. A. 2018.
doi   link   bibtex  
Low-rank plus sparse tensor models for light-field reconstruction from focal stack data. Blocker, C.; Chun, I. Y.; and Fessler, J. A. 2018.
doi   link   bibtex  
Learning dictionary-based unions of subspaces for image denoising. Hong, D.; Malinas, R.; Fessler, J. A.; and Balzano, L. 2018. Invited to special session on Emerging Data Structure Paradigms for Subspace Estimation
doi   link   bibtex  
Convolutional analysis operator learning: Application to sparse-view CT. Chun, I. Y.; and Fessler, J. A. 2018. Invited.
doi   link   bibtex  
Fast and convergent iterative image recovery using trained convolutional neural networks. Chun, I. Y.; Lim, H.; Huang, Z.; and Fessler, J. A. 2018. Invited.
doi   link   bibtex  
On parameter selection for joint spectral reconstruction in Y90 SPECT. Chun, S. Y.; Lim, H.; Fessler, J. A.; and Dewaraja, Y. K. 2018.
doi   link   bibtex  
Application of trained deep BCD-net to iterative low-count PET image reconstruction. Lim, H.; Fessler, J. A.; Dewaraja, Y. K.; and Chun, I. Y. 2018.
doi   link   bibtex  
Learned mixed material models for efficient clustering based dual-energy CT image decomposition. Li, Z.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2018.
doi   link   bibtex  
  2017 (14)
Effects of detector blur and correlated noise on digital breast tomosynthesis reconstruction. Zheng, J.; Fessler, J. A.; and Chan, H. 2017.
doi   link   bibtex  
Accelerating separable footprint (SF) forward and back projection on GPU. Xie, X.; McGaffin, M. G.; Long, Y.; Fessler, J. A.; Wen, M.; and Lin, J. 2017.
doi   link   bibtex  
Accelerated dual gradient-based methods for total variation image denoising/deblurring problems. Kim, D.; and Fessler, J. A. 2017.
doi   link   bibtex  
Dictionary-free MRI parameter estimation via kernel ridge regression. Nataraj, G.; Nielsen, J.; and Fessler, J. A. 2017.
doi   link   bibtex  
Efficient computation of regularized field map estimates in 3D. Ongie, G.; Shi, J.; and Fessler, J. A. 2017.
doi   link   bibtex  
Sparse-view X-ray CT reconstruction using $\ell_1$ regularization with learned sparsifying transform. Chun, I. Y.; Zheng, X.; Long, Y.; and Fessler, J. A. 2017.
doi   link   bibtex  
Combining non-diagonal preconditioning and ordered-subsets for iterative CT reconstruction. Fu, L.; Fessler, J. A.; Kinahan, P. E.; and De Man, B. 2017.
Combining non-diagonal preconditioning and ordered-subsets for iterative CT reconstruction [pdf]Paper   link   bibtex  
Union of learned sparsifying transforms based low-dose 3D CT image reconstruction. Zheng, X.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2017.
doi   link   bibtex  
Convergent convolutional dictionary learning using adaptive contrast enhancement (CDL-ACE): application of CDL to image denoising. Chun, I. Y.; and Fessler, J. A. 2017.
doi   link   bibtex  
Efficient online dictionary adaptation and image reconstruction for dynamic MRI. Ravishankar, S.; Moore, B. E.; Nadakuditi, R. R.; and Fessler, J. A. 2017.
doi   link   bibtex  
Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. Ravishankar, S.; Chun, I. Y.; and Fessler, J. A. 2017. Invited.
doi   link   bibtex  
Reducing bias in Y-90 PET images by enforcing non-negativity in projection space. Lim, H.; Dewaraja, Y. K.; and Fessler, J. A. 2017.
doi   link   bibtex  
Online dynamic MRI reconstruction via robust subspace tracking. Ongie, G.; Dewangan, S.; Fessler, J. A.; and Balzano, L. 2017.
doi   link   bibtex  
Adaptive sparse modeling and shifted-Poisson likelihood based approach for low-dose CT image reconstruction. Ye, S.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2017.
doi   link   bibtex  
  2016 (11)
Digital breast tomosynthesis reconstruction using spatially weighted non-convex regularization. Zheng, J.; Fessler, J. A.; and Chan, H. 2016.
doi   link   bibtex  
Joint estimation of activity distribution and attenuation map for TOF-PET using alternating direction method of multiplier. Chun, S. Y.; Kim, K. Y.; Lee, J. S.; and Fessler, J. A. 2016.
doi   link   bibtex  
Modeling mixed Poisson-Gaussian noise in statistical image reconstruction for X-ray CT. Ding, Q.; Long, Y.; Zhang, X.; and Fessler, J. A. 2016.
Modeling mixed Poisson-Gaussian noise in statistical image reconstruction for X-ray CT [link]Paper   link   bibtex  
Accelerated parallel and distributed iterative coordinate descent (ICD) for X-ray CT. McGaffin, M. G.; and Fessler, J. A. 2016.
Accelerated parallel and distributed iterative coordinate descent (ICD) for X-ray CT [link]Paper   link   bibtex  
Investigating multi-threaded SIMD for helical CT reconstruction on a CPU. Sampson, R.; McGaffin, M. G.; Wenisch, T. F.; and Fessler, J. A. 2016.
Investigating multi-threaded SIMD for helical CT reconstruction on a CPU [link]Paper   link   bibtex  
Digital breast tomosynthesis reconstruction with detector blur and correlated noise. Zheng, J.; Fessler, J. A.; and Chan, H. 2016.
Digital breast tomosynthesis reconstruction with detector blur and correlated noise [link]Paper   link   bibtex  
LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging. Ravishankar, S.; Moore, B. E.; Nadakuditi, R. R.; and Fessler, J. A. 2016.
doi   link   bibtex  
Low dose CT image reconstruction with trained sparsifying transform. Zheng, X.; Lu, Z.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2016.
doi   link   bibtex  
Efficient learning of dictionaries with low-rank atoms. Ravishankar, S.; Moore, B.; Nadakuditi, R. R.; and Fessler, J. A. 2016.
doi   link   bibtex  
Sum of outer products dictionary learning for inverse problems. Ravishankar, S.; Nadakuditi, R. R.; and Fessler, J. A. 2016.
doi   link   bibtex  
Towards a theoretical analysis of PCA for heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2016.
doi   link   bibtex  
  2015 (8)
Reducing short-scan artifacts in 3D axial cone-beam CT with extra views. Cho, J. H.; Pal, D.; Thibault, J.; and Fessler, J. A. 2015.
Reducing short-scan artifacts in 3D axial cone-beam CT with extra views [pdf]Paper   link   bibtex  
Distributed block-separable ordered subsets for helical X-ray CT image reconstruction. Kim, D.; and Fessler, J. A. 2015.
Distributed block-separable ordered subsets for helical X-ray CT image reconstruction [pdf]Paper   link   bibtex  
Fast GPU-driven model-based X-ray CT image reconstruction via alternating dual updates. McGaffin, M. G.; and Fessler, J. A. 2015.
Fast GPU-driven model-based X-ray CT image reconstruction via alternating dual updates [pdf]Paper   link   bibtex  
Relaxed linearized algorithm for faster X-ray CT image reconstruction. Nien, H.; and Fessler, J. A. 2015.
Relaxed linearized algorithm for faster X-ray CT image reconstruction [pdf]Paper   link   bibtex  
Fast variance prediction for iteratively reconstructed CT with arbitrary geometries. Schmitt, S. M.; and Fessler, J. A. 2015.
Fast variance prediction for iteratively reconstructed CT with arbitrary geometries [pdf]Paper   link   bibtex  
An optimized first-order method for image restoration. Kim, D.; and Fessler, J. A. 2015.
doi   link   bibtex  
Model-based image reconstruction of chemiluminescence using plenoptic 2.0 camera. Nien, H.; Sick, V.; and Fessler, J. A. 2015.
doi   link   bibtex  
Joint spectral image reconstruction for Y-90 SPECT with multi-window acquisition. Nguyen, M. P.; Kim, H.; Chun, S. Y.; Fessler, J. A.; and Dewaraja, Y. K. 2015.
doi   link   bibtex  
  2014 (13)
Fast edge-preserving image denoising via group coordinate descent on the GPU. McGaffin, M. G.; and Fessler, J. A. 2014.
doi   link   bibtex  
Model-based, one-sided, time-of-flight terahertz image reconstruction. Schmitt, S. M.; Fessler, J. A.; Fichter, G. D.; and Zimdars, D. A. 2014.
doi   link   bibtex  
Accelerating ordered-subsets X-ray CT image reconstruction using the linearized augmented Lagrangian framework. Nien, H.; and Fessler, J. A. 2014.
doi   link   bibtex  
Optimized momentum steps for accelerating X-ray CT ordered subsets image reconstruction. Kim, D.; and Fessler, J. A. 2014.
Optimized momentum steps for accelerating X-ray CT ordered subsets image reconstruction [link]Paper   link   bibtex  
Duality-based projection-domain tomography solver for splitting-based X-ray CT reconstruction. McGaffin, M. G.; and Fessler, J. A. 2014.
Duality-based projection-domain tomography solver for splitting-based X-ray CT reconstruction [link]Paper   link   bibtex  
Fast splitting-based ordered-subsets X-ray CT image reconstruction. Nien, H.; and Fessler, J. A. 2014.
Fast splitting-based ordered-subsets X-ray CT image reconstruction [link]Paper   link   bibtex  
Improved robust PCA using low-rank denoising with optimal singular value shrinkage. Moore, B. E.; Nadakuditi, R. R.; and Fessler, J. A. 2014.
doi   link   bibtex  
Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage. Muckley, M. J.; and Fessler, J. A. 2014.
doi   link   bibtex   1 download  
Model-based estimation of T2 maps with dual-echo steady-state MR imaging. Nataraj, G.; Nielsen, J.; and Fessler, J. A. 2014.
doi   link   bibtex  
Regularized estimation of Bloch-Siegert B1+ Maps in MRI. Sun, H.; Grissom, W. A.; and Fessler, J. A. 2014.
doi   link   bibtex  
Phase retrieval of sparse signals using optimization transfer and ADMM. Weller, D. S.; Pnueli, A.; Radzyner, O.; Divon, G.; Eldar, Y. C.; and Fessler, J. A. 2014.
doi   link   bibtex  
Uniform spatial resolution for statistical image reconstruction for 3D cone-beam CT. Cho, J. H.; and Fessler, J. A. 2014. Poster presentation.
link   bibtex  
Adaptive Parzen windowing on mutual information for intermodal non-rigid image registration. Song, J. Y.; Fessler, J. A.; and Meyer, C. R. 2014. Poster presentation.
link   bibtex  
  2013 (18)
Splitting-based statistical X-ray CT image reconstruction with blind gain correction. Nien, H.; and Fessler, J. A. 2013.
doi   link   bibtex  
Accelerated nonCartesian SENSE reconstruction using a majorize-minimize algorithm combining variable-splitting. Ramani, S.; and Fessler, J. A. 2013.
doi   link   bibtex  
Spoke pulse design in magnetic resonance imaging using greedy minimax algorithm. Sun, H.; Weller, D. S.; Chu, A.; Ramani, S.; Yoon, D.; Nielsen, J. F.; and Fessler, J. A. 2013.
doi   link   bibtex  
SURE-based parameter selection for parallel MRI reconstruction using GRAPPA and sparsity. Weller, D. S.; Ramani, S.; Nielsen, J.; and Fessler, J. A. 2013.
doi   link   bibtex  
Optimized linear combinations of channels for complex multiple-coil B1 field estimation with Bloch-Siegert B1 mapping in MRI. Zhao, F.; Fessler, J. A.; Wright, S. M.; Rispoli, J. V.; and Noll, D. C. 2013.
doi   link   bibtex  
Ordered subsets with momentum for accelerated X-ray CT image reconstruction. Kim, D.; Ramani, S.; and Fessler, J. A. 2013.
doi   link   bibtex  
Quadratic regularization design for 3D axial CT. Cho, J. H.; and Fessler, J. A. 2013.
Quadratic regularization design for 3D axial CT [pdf]Paper   link   bibtex  
Alternating direction method of multiplier for emission tomography with non-local regularizers. Chun, S. Y.; Dewaraja, Y. K.; and Fessler, J. A. 2013.
Alternating direction method of multiplier for emission tomography with non-local regularizers [pdf]Paper   link   bibtex  
Space-variant channelized preconditioner design for 3D iterative CT reconstruction. Fu, L.; Yu, Z.; Thibault, J.; Man, B. D.; McGaffin, M. G.; and Fessler, J. A. 2013.
Space-variant channelized preconditioner design for 3D iterative CT reconstruction [pdf]Paper   link   bibtex  
Accelerating X-ray CT ordered subsets image reconstruction with Nesterov's first-order methods. Kim, D.; Ramani, S.; and Fessler, J. A. 2013.
Accelerating X-ray CT ordered subsets image reconstruction with Nesterov's first-order methods [pdf]Paper   link   bibtex  
Sparse shift-varying FIR preconditioners for fast volume denoising. McGaffin, M.; and Fessler, J. A. 2013.
Sparse shift-varying FIR preconditioners for fast volume denoising [pdf]Paper   link   bibtex  
Combining augmented Lagrangian method with ordered subsets for X-ray CT image reconstruction. Nien, H.; and Fessler, J. A. 2013.
Combining augmented Lagrangian method with ordered subsets for X-ray CT image reconstruction [pdf]Paper   link   bibtex  
Iterative helical CT reconstruction in the cloud for ten dollars in five minutes. Rosen, J. M.; Wu, J.; Wenisch, T. F.; and Fessler, J. A. 2013.
Iterative helical CT reconstruction in the cloud for ten dollars in five minutes [pdf]Paper   link   bibtex  
Fast variance prediction for iterative reconstruction of 3D helical CT images. Schmitt, S. M.; and Fessler, J. A. 2013.
Fast variance prediction for iterative reconstruction of 3D helical CT images [pdf]Paper   link   bibtex  
Prospective motion correction for functional MRI using sparsity and Kalman filtering. Weller, D. S.; and Fessler, J. A. 2013. Invited submission.
doi   link   bibtex   1 download  
Motion-compensated image reconstruction for cardiac CT with sinogram-based motion estimation. Cho, J. H.; and Fessler, J. A. 2013.
doi   link   bibtex  
Quadratic regularization design for 3D axial CT: Towards isotropic noise. Cho, J. H.; and Fessler, J. A. 2013.
doi   link   bibtex  
Ordered subsets acceleration using relaxed momentum for X-ray CT image reconstruction. Kim, D.; and Fessler, J. A. 2013.
doi   link   bibtex  
  2012 (18)
Accelerating ordered-subsets image reconstruction for X-ray CT using double surrogates. Cho, J. H.; and Fessler, J. A. 2012.
doi   link   bibtex  
Reduced memory augmented Lagrangian algorithm for 3D iterative X-ray CT image reconstruction. McGaffin, M. G.; Ramani, S.; and Fessler, J. A. 2012.
doi   link   bibtex  
Iterative weighted risk estimation for nonlinear image restoration with analysis priors. Ramani, S.; Rosen, J.; Liu, Z.; and Fessler, J. A. 2012.
doi   link   bibtex   1 download  
Regularized MR coil sensitivity estimation using augmented Lagrangian methods. Allison, M. J.; Ramani, S.; and Fessler, J. A. 2012.
doi   link   bibtex  
Statistical X-ray CT reconstruction using a splitting-based iterative algorithm with orthonormal wavelets. Ramani, S.; and Fessler, J. A. 2012.
doi   link   bibtex  
Motion-compensated image reconstruction with alternating minimization. Cho, J. H.; Ramani, S.; and Fessler, J. A. 2012.
Motion-compensated image reconstruction with alternating minimization [pdf]Paper   link   bibtex  
Parallelizable algorithms for X-ray CT image reconstruction with spatially non-uniform updates. Kim, D.; and Fessler, J. A. 2012.
Parallelizable algorithms for X-ray CT image reconstruction with spatially non-uniform updates [pdf]Paper   link   bibtex  
Improved ordered subsets algorithm for 3D X-ray CT image reconstruction. Kim, D.; Pal, D.; Thibault, J.; and Fessler, J. A. 2012.
Improved ordered subsets algorithm for 3D X-ray CT image reconstruction [pdf]Paper   link   bibtex  
Perturbation-based error analysis of iterative image reconstruction algorithm for X-ray computed tomography. Kim, J. K.; Fessler, J. A.; and Zhang, Z. 2012.
Perturbation-based error analysis of iterative image reconstruction algorithm for X-ray computed tomography [pdf]Paper   link   bibtex  
Multi-material decomposition using statistical image reconstruction in X-ray CT. Long, Y.; and Fessler, J. A. 2012.
Multi-material decomposition using statistical image reconstruction in X-ray CT [pdf]Paper   link   bibtex  
A hybrid regularizer combining orthonormal wavelets and finite differences for statistical reconstruction in 3-D CT. Ramani, S.; and Fessler, J. A. 2012.
A hybrid regularizer combining orthonormal wavelets and finite differences for statistical reconstruction in 3-D CT [pdf]Paper   link   bibtex  
Alternating minimization approach for multi-frame image reconstruction. Cho, J. H.; Ramani, S.; and Fessler, J. A. 2012.
doi   link   bibtex  
Cross-validation and predicted risk estimation for nonlinear iterative reweighted least-squares MRI reconstruction. Ramani, S.; Nielsen, J.; and Fessler, J. A. 2012.
link   bibtex  
Image restoration using non-circulant shift-invariant system models. Matakos, A.; Ramani, S.; and Fessler, J. A. 2012.
link   bibtex  
Fast variance image predictions for motion-compensated image reconstruction. Chun, S. Y.; and Fessler, J. A. 2012.
link   bibtex  
Non-local means methods using CT side information for I-131 SPECT image reconstruction. Chun, S. Y.; Fessler, J. A.; and Dewaraja, Y. K. 2012.
doi   link   bibtex  
Time-dependent Compton image reconstruction of moving sources. Jaworski, J. M.; Fessler, J. A.; and He, Z. 2012.
link   bibtex  
Fast variance computation for quadratically penalized iterative reconstruction of 3D axial CT images. Schmitt, S.; and Fessler, J. A. 2012.
doi   link   bibtex  
  2011 (11)
Adaptive diffusion regularization for enhancement of microcalcifications in digital breast tomosynthesis (DBT) reconstruction. Lu, Y.; Chan, H.; Fessler, J. A.; Hadjiiski, L.; Wei, J.; Goodsitt, M.; Schmitz, A.; Claus, B. E. H.; and Wheeler, F. W. 2011.
doi   link   bibtex  
Hardware acceleration of iterative image reconstruction for X-ray computed tomography. Kim, J.; Zhang, Z.; and Fessler, J. A. 2011.
doi   link   bibtex  
Regularization design for isotropic spatial resolution in motion-compensated image reconstruction. Chun, S. Y.; and Fessler, J. A. 2011.
doi   link   bibtex  
Iterative image reconstruction for dual-energy x-ray CT using regularized material sinogram estimates. Huh, W.; and Fessler, J. A. 2011.
doi   link   bibtex  
Accelerated ordered-subsets algorithm based on separable quadratic surrogates for regularized image reconstruction in X-ray CT. Kim, D.; and Fessler, J. A. 2011.
doi   link   bibtex  
Dynamic MR image and fieldmap joint reconstruction accounting for through-plane fieldmap gradients. Matakos, A.; and Fessler, J. A. 2011.
doi   link   bibtex  
Regularized parallel MRI reconstruction using an alternating direction method of multipliers. Ramani, S.; and Fessler, J. A. 2011.
doi   link   bibtex   1 download  
Axial block coordinate descent (ABCD) algorithm for X-ray CT image reconstruction. Fessler, J. A.; and Kim, D. 2011.
Axial block coordinate descent (ABCD) algorithm for X-ray CT image reconstruction [link]Paper   link   bibtex  
Convergent iterative CT reconstruction with sparsity-based regularization. Ramani, S.; and Fessler, J. A. 2011.
Convergent iterative CT reconstruction with sparsity-based regularization [link]Paper   link   bibtex  
GPU acceleration of 3D forward and backward projection using separable footprints for X-ray CT image reconstruction. Wu, M.; and Fessler, J. A. 2011.
GPU acceleration of 3D forward and backward projection using separable footprints for X-ray CT image reconstruction [link]Paper   link   bibtex  
Detection performance prediction for CdZnTe array. Lingenfelter, D. J.; Fessler, J. A.; Scott, C. D.; and He, Z. 2011.
doi   link   bibtex  
  2010 (10)
Sufficient condition for local invertibility of spatio-temporal 4D B-spline deformations. Chun, S. Y.; Schretter, C.; and Fessler, J. A. 2010.
doi   link   bibtex  
Optimization transfer approach to joint registration / reconstruction for motion-compensated image reconstruction. Fessler, J. A. 2010.
doi   link   bibtex  
Cramer Rao bound analysis of joint B1/T1 mapping methods in MRI. Funai, A.; and Fessler, J. A. 2010.
doi   link   bibtex  
Joint estimation of image and fieldmap in parallel MRI using single-shot acquisitions. Matakos, A.; and Fessler, J. A. 2010.
doi   link   bibtex  
An accelerated iterative reweighted least squares algorithm for compressed sensing MRI. Ramani, S.; and Fessler, J. A. 2010.
doi   link   bibtex  
3D forward and back-projection for X-ray CT using separable footprints with trapezoid functions. Long, Y.; Fessler, J. A.; and Balter, J. M. 2010.
3D forward and back-projection for X-ray CT using separable footprints with trapezoid functions [pdf]Paper   link   bibtex  
A statistical image reconstruction algorithm for polyenergetic X-ray CT: Preliminary results on a small-animal scanner. Abella, M.; Vaquero, J. J.; Desco, M.; and Fessler, J. A. 2010. oral M04-6, but no paper.
link   bibtex  
Predicting ROC curves for source detection under model mismatch. Lingenfelter, D. J.; Fessler, J. A.; Scott, C. D.; and He, Z. 2010.
doi   link   bibtex  
Augmented Lagrangian methods for penalized likelihood reconstruction in emission tomography. Lingenfelter, D. J.; and Fessler, J. A. 2010.
doi   link   bibtex  
Model-based reconstruction of spectral and spatial activity distribution from objects with known motion. Jaworski, J. M.; Wahl, C. G.; Fessler, J. A.; and He, Z. 2010.
doi   link   bibtex  
  2009 (13)
Sparsity regularization for image reconstruction with Poisson data. Lingenfelter, D. J.; Fessler, J. A.; and He, Z. 2009.
doi   link   bibtex  
Improved fMRI time-series registration using joint probability density priors. Bhagalia, R.; Fessler, J. A.; Kim, B.; and Meyer, C. R. 2009.
doi   link   bibtex  
Joint image reconstruction and nonrigid motion estimation with a simple penalty that encourages local invertibility. Chun, S. Y.; and Fessler, J. A. 2009.
doi   link   bibtex  
A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion. Chun, S. Y.; Fessler, J. A.; and Kessler, M. L. 2009.
doi   link   bibtex  
A new statistical image reconstruction algorithm for polyenergetic X-ray CT. Abella, M.; and Fessler, J. A. 2009.
doi   link   bibtex  
Spatial resolution and noise properties of regularized motion-compensated image reconstruction. Chun, S. Y.; and Fessler, J. A. 2009.
doi   link   bibtex  
Model-based image reconstruction for dual-energy X-ray CT with fast kVp switching. Huh, W.; and Fessler, J. A. 2009.
doi   link   bibtex  
Discriminative sliding preserving regularization in medical image registration. Ruan, D.; Esedoglu, S.; and Fessler, J. A. 2009.
doi   link   bibtex  
A 3D forward and back-projection method for X-ray CT using separable footprint. Long, Y.; Fessler, J. A.; and Balter, J. M. 2009. Winner of poster award.
A 3D forward and back-projection method for X-ray CT using separable footprint [pdf]Paper   link   bibtex  
Quantitative I-131 SPECT reconstruction using CT side information from hybrid imaging. Dewaraja, Y.; Koral, K.; and Fessler, J. A. 2009.
doi   link   bibtex  
Fast kVp-switching dual energy CT for PET attenuation correction. Huh, W.; Fessler, J. A.; Alessio, A. M.; and Kinahan, P. E. 2009.
doi   link   bibtex  
Benefits of position-sensitive detectors for source detection with known background. Lingenfelter, D. J.; Fessler, J. A.; Scott, C.; and He, Z. 2009.
doi   link   bibtex  
Joint estimation of Stokes images and aberrations from phase-diverse polarimetric measurements. Valenzuela, J. R.; and Fessler, J. A. 2009.
link   bibtex  
  2008 (6)
Low-dose dual-energy computed tomography for PET attenuation correction with statistical sinogram restoration. Noh, J.; Fessler, J. A.; and Kinahan, P. E. 2008.
doi   link   bibtex   1 download  
Regularized estimation of Stokes images from polarimetric measurements. Valenzuela, J.; and Fessler, J. A. 2008.
doi   link   bibtex  
Tradeoffs and complexities in model-based MR image reconstruction. Fessler, J. A. 2008.
Tradeoffs and complexities in model-based MR image reconstruction [pdf]Paper   link   bibtex  
Regularized methods for topology-preserving smooth nonrigid image registration using b-spline basis. Chun, S.; and Fessler, J. A. 2008.
doi   link   bibtex  
Motion robust magnetic susceptibility and field inhomogeneity estimation using regularized image restoration techniques for fMRI. Yeo, D. T. B.; Fessler, J. A.; and Kim, B. 2008.
doi   link   bibtex  
Discontinuity preserving regularization for modeling sliding effects in medical image registration. Ruan, D.; Fessler, J. A.; and Esedoglu, S. 2008.
doi   link   bibtex  
  2007 (7)
Local mismatch location and spatial scale detection in image registration. Narayanan, R.; Fessler, J. A.; Ma, B.; and Meyer, C. R. 2007.
doi   link   bibtex  
A simplified motion model for estimating respiratory motion from orbiting views. Zeng, R.; Fessler, J. A.; and Balter, J. M. 2007.
doi   link   bibtex  
Fast variance predictions for 3D cone-beam CT with quadratic regularization. Zhang-O'Connor, Y.; and Fessler, J. A. 2007.
doi   link   bibtex  
Model-based MR image reconstruction with compensation for through-plane field inhomogeneity. Fessler, J. A.; and Noll, D. C. 2007. Invited paper.
doi   link   bibtex   1 download  
Regularized B1+ map estimation in MRI. Funai, A.; Fessler, J. A.; Grissom, W.; and Noll, D. C. 2007.
doi   link   bibtex  
Resolution properties in regularized dynamic MRI reconstruction. Khalsa, K. A.; and Fessler, J. A. 2007.
doi   link   bibtex  
Iterative sorting for 4D CT images based on internal anatomy motion. Zeng, R.; Fessler, J. A.; and Balter, J. M. 2007.
doi   link   bibtex  
  2006 (7)
Nonrigid registration using regularization that accommodates local tissue rigidity. Ruan, D.; Fessler, J. A.; Roberson, M.; Balter, J.; and Kessler, M. 2006.
doi   link   bibtex  
Gradient based image registration using importance sampling. Bhagalia, R.; Fessler, J. A.; and Kim, B. 2006.
doi   link   bibtex  
Regularized fieldmap estimation in MRI. Fessler, J. A.; Yeo, D.; and Noll, D. C. 2006.
doi   link   bibtex   1 download  
Joint estimation of respiratory motion and activity in 4D PET using CT side information. Jacobson, M. W.; and Fessler, J. A. 2006.
doi   link   bibtex   1 download  
Spatial resolution analysis of iterative image reconstruction with separate regularization of real and imaginary parts. Olafsson, V.; Fessler, J. A.; and Noll, D. C. 2006.
doi   link   bibtex  
Analysis of unknown-location signal detectability for regularized tomographic image reconstruction. Yendiki, A.; and Fessler, J. A. 2006.
doi   link   bibtex  
Quadratic regularization design for 3D axial CT. Shi, H.; and Fessler, J. A. 2006.
doi   link   bibtex  
  2005 (10)
Fast interpolation operations in non-rigid image registration. Jacobson, M. W.; and Fessler, J. A. 2005.
doi   link   bibtex  
Quadratic regularization design for fan beam transmission tomography. Shi, H.; and Fessler, J. A. 2005.
doi   link   bibtex  
Detection of event-related spectral changes in electrocorticograms. Fessler, J. A.; Chun, S. Y.; Huggins, J. E.; and Levine, S. P. 2005.
doi   link   bibtex  
Incorporation of the detector resolution compensation (DRC) in the ordered-subset transmission (OSTR) algorithm for transmission imaging in SPECT. Feng, B.; Fessler, J. A.; and King, M. A. 2005.
Incorporation of the detector resolution compensation (DRC) in the ordered-subset transmission (OSTR) algorithm for transmission imaging in SPECT [pdf]Paper   link   bibtex  
A study of different minimization approaches for iterative reconstruction in X-ray CT. De Man, B.; Basu, S.; Thibault, J.; Hsieh, J.; Fessler, J. A.; Bouman, C.; and Sauer, K. 2005.
doi   link   bibtex  
Modeling the distance-dependent blurring in transmission imaging in the ordered-subset transmission (OSTR) algorithm by using an unmatched projector/Backprojector pair. Feng, B.; King, M. A.; Gifford, H. C.; Zeng, G. L.; and Fessler, J. A. 2005.
doi   link   bibtex  
Quadratic regularization design for 3d cylindrical PET. Shi, H.; and Fessler, J. A. 2005.
doi   link   bibtex  
Simplified statistical image reconstruction algorithm for polyenergetic X-ray CT. Srivastava, S.; and Fessler, J. A. 2005.
doi   link   bibtex  
Estimating 3D respiratory motion from orbiting views. Zeng, R.; Fessler, J. A.; and Balter, J. M. 2005.
doi   link   bibtex  
Fast variance image predictions for quadratically regularized statistical image reconstruction in fan-beam tomography. Zhang, Y.; Fessler, J. A.; and Hsieh, J. 2005.
doi   link   bibtex  
  2004 (15)
Two state Markov modelling and detection of single electron spin signals. Hero, A.; Ting, M.; and Fessler, J. A. 2004.
Two state Markov modelling and detection of single electron spin signals [pdf]Paper   link   bibtex  
Covariance of kinetic parameter estimators based on time activity curve reconstructions: preliminary study on 1D dynamic imaging. Ahn, S.; Fessler, J. A.; Nichols, T. E.; and Koeppe, R. A. 2004.
doi   link   bibtex  
Iterative image reconstruction in MRI with separate magnitude and phase regularization. Fessler, J. A.; and Noll, D. C. 2004.
doi   link   bibtex   1 download  
Penalized likelihood transmission image reconstruction: Unconstrained monotonic algorithms. Srivastava, S.; and Fessler, J. A. 2004.
doi   link   bibtex  
Analytical approach to channelized Hotelling observer performance for regularized tomographic image reconstruction. Yendiki, A.; and Fessler, J. A. 2004.
doi   link   bibtex  
Respiratory motion estimation from slowly rotating X-ray projections. Zeng, R.; Fessler, J. A.; and Balter, J. 2004.
doi   link   bibtex  
Fourier-based forward and back-projectors in iterative fan-beam tomographic image reconstruction. Zhang, Y.; and Fessler, J. A. 2004.
doi   link   bibtex  
Simplified digital holographic reconstruction using statistical methods. Fessler, J. A.; and Sotthivirat, S. 2004.
doi   link   bibtex  
Incremental surrogates algorithms: Application to transmission tomography. Ahn, S.; Fessler, J. A.; Blatt, D.; and Hero, A. O. 2004.
doi   link   bibtex  
3-D Monte Carlo-based scatter compensation in quantitative I-131 SPECT reconstruction. Dewaraja, Y.; Ljungberg, M.; and Fessler, J. A. 2004.
doi   link   bibtex  
Transmission imaging with axially overlapping cone-beams. Feng, B.; Fessler, J. A.; Pretorius, P. H.; Boening, G.; Beach, R. D.; Zeng, G. L.; and King, M. A. 2004.
doi   link   bibtex  
Quantitative attenuation correction for PET/CT using iterative reconstruction of low-dose dual-energy CT. Kinahan, P.; Fessler, J. A.; Alessio, A.; and Lewellen, T. K. 2004.
doi   link   bibtex  
Noise characteristics of the FORE+OSEM(DB) reconstruction method for the MiCES PET scanner. Lee, K.; Kinahan, P. E.; Miyaoka, R. S.; Fessler, J. A.; and Lewellen, T. K. 2004.
doi   link   bibtex  
Analysis of observer performance in detecting signals with location uncertainty for regularized tomographic image reconstruction. Yendiki, A.; and Fessler, J. A. 2004.
doi   link   bibtex   1 download  
Motion correction in fMRI by mapping slice-to-volume with concurrent field-inhomogeneity correction. Yeo, D. T. B.; Fessler, J. A.; and Kim, B. 2004.
doi   link   bibtex  
  2003 (12)
Efficient and accurate likelihood for iterative image reconstruction in X-ray computed tomography. Elbakri, I. A.; and Fessler, J. A. 2003.
doi   link   bibtex  
Electrocorticogram as the basis for a direct brain interface: Opportunities for improved detection accuracy. Huggins, J. E.; Levine, S. P.; Fessler, J. A.; Sowers, W. M.; Pfurtscheller, G.; Graimann, B.; Schloegl, A.; Minecan, D. N.; Kushwaha, R. K.; BeMent, S. L.; Sagher, O.; and Schuh, L. A. 2003.
doi   link   bibtex  
A comparison of rotation- and blob-based system models for 3-D SPECT with depth-dependent detector response. Yendiki, A.; and Fessler, J. A. 2003.
A comparison of rotation- and blob-based system models for 3-D SPECT with depth-dependent detector response [pdf]Paper   link   bibtex  
Joint estimation of image and deformation parameters in tomographic image reconstruction. Jacobson, M. W.; and Fessler, J. A. 2003.
doi   link   bibtex  
Statistical emission image reconstruction for randoms-precorrected PET scans using negative sinogram values. Ahn, S.; and Fessler, J. A. 2003.
doi   link   bibtex  
Statistical reconstruction for quantitative CT applications. Elbakri, I. A.; Zhang, Y.; Chen, L. M.; Clinthorne, N.; and Fessler, J. A. 2003.
doi   link   bibtex  
Analytical approach to regularization design for isotropic spatial resolution. Fessler, J. A. 2003.
doi   link   bibtex  
Joint estimation of image and deformation parameters in motion-corrected PET. Jacobson, M. W.; and Fessler, J. A. 2003.
doi   link   bibtex  
Pragmatic image reconstruction for the MiCES fully-3D mouse imaging PET scanner. Lee, K. S.; Kinahan, P. E.; Fessler, J. A.; Lewellen, T. K.; and Miyaoka, R. S. 2003.
doi   link   bibtex  
Update on HE vs UHE collimation for focal total-activity quantification in I-131 SPECT using 3D OSEM. Koral, K. F.; Yendiki, A.; Lin, Q.; Dewaraja, Y. K.; and Fessler, J. A. 2003.
doi   link   bibtex  
Reconstruction from digital holograms by statistical methods. Sotthivirat, S.; and Fessler, J. A. 2003.
doi   link   bibtex  
Baseband detection of bistatic electron spin signals in magnetic resonance force microscopy. Yip, C. Y.; Hero, A. O.; Rugar, D.; and Fessler, J. A. 2003.
doi   link   bibtex  
  2002 (10)
Maximum-likelihood dual-energy tomographic image reconstruction. Fessler, J. A.; Elbakri, I.; Sukovic, P.; and Clinthorne, N. H. 2002.
doi   link   bibtex  
Segmentation-free statistical image reconstruction for polyenergetic X-ray computed tomography. Elbakri, I. A.; and Fessler, J. A. 2002.
doi   link   bibtex   1 download  
Relaxed ordered subsets algorithm for image restoration of confocal microscopy. Sotthivirat, S.; and Fessler, J. A. 2002.
doi   link   bibtex  
Fast, iterative, field-corrected image reconstruction for MRI. Sutton, B. P.; Noll, D. C.; and Fessler, J. A. 2002.
doi   link   bibtex  
Image registration using robust correlation. Kim, J.; and Fessler, J. A. 2002.
doi   link   bibtex  
Channelized Hotelling observer performance for penalized-likelihood image reconstruction. Fessler, J. A.; and Yendiki, A. 2002.
doi   link   bibtex  
Iterative tomographic image reconstruction using Fourier-based forward and back-projectors. Matej, S.; and Fessler, J. A. 2002.
doi   link   bibtex  
Comparison between penalized-likelihood image reconstruction for uniform spatial resolution and post-smoothed ML-EM. Nuyts, J.; and Fessler, J. A. 2002.
doi   link   bibtex  
Fast methods for approximation of resolution and covariance for SPECT. Stayman, J. W.; and Fessler, J. A. 2002.
doi   link   bibtex  
3D PET reconstruction with FORE and WLS-OS-EM. Stearns, C. W.; and Fessler, J. A. 2002.
doi   link   bibtex  
  2001 (7)
Statistical x-ray computed tomography image reconstruction with beam-hardening correction. Elbakri, I.; and Fessler, J. A. 2001.
doi   link   bibtex  
A knowledge-based deformable surface model with application to segmentation of brain structures in MRI. Ghanei, A.; Soltanian-Zadeh, H.; Elisevich, K.; and Fessler, J. A. 2001.
doi   link   bibtex  
A min-max approach to the multidimensional nonuniform FFT: Application to tomographic image reconstruction. Fessler, J. A.; and Sutton, B. P. 2001.
doi   link   bibtex  
Globally convergent ordered subsets algorithms: Application to tomography. Ahn, S.; and Fessler, J. A. 2001.
doi   link   bibtex  
Simultaneous estimation of attenuation and activity images using optimization transfer. Jacobson, M.; and Fessler, J. A. 2001.
doi   link   bibtex  
Effect of including detector response in SPECT quantification of focal 131-I activity. Koral, K.; Lin, Q.; Akhtar, A.; Dewaraja, Y.; and Fessler, J. A. 2001.
doi   link   bibtex  
Nonnegative definite quadratic penalty design for penalized-likelihood reconstruction. Stayman, J. W.; and Fessler, J. A. 2001.
doi   link   bibtex  
  2000 (5)
Algorithms for joint estimation of attenuation and emission images in PET. Erdogan, H.; and Fessler, J. A. 2000.
doi   link   bibtex  
Partitioned separable paraboloidal surrogate coordinate ascent algorithm for image restoration. Sotthivirat, S.; and Fessler, J. A. 2000.
doi   link   bibtex  
List mode EM reconstruction of Compton scatter camera images in 3-D. Wilderman, S. J.; Clinthorne, N. H.; Fessler, J. A.; Hua, C.; and Rogers, W. L. 2000.
doi   link   bibtex  
Maximum likelihood emission image reconstruction for randoms-precorrected PET scans. Yavuz, M.; and Fessler, J. A. 2000.
doi   link   bibtex  
Three-dimensional non-local edge-preserving regularization for PET transmission reconstruction. Yu, D. F.; and Fessler, J. A. 2000.
doi   link   bibtex  
  1999 (6)
Image reconstruction for 3D electronically collimated SPECT camera model. Sauve, A.; Hero, A. O.; Rogers, W. L.; and Fessler, J. A. 1999.
link   bibtex  
Penalty design for uniform spatial resolution in 3d penalized-likelihood image reconstruction. Stayman, J. W.; and Fessler, J. A. 1999.
Penalty design for uniform spatial resolution in 3d penalized-likelihood image reconstruction [pdf]Paper   link   bibtex  
Maximum likelihood transmission image reconstruction for overlapping transmission beams. Fessler, J. A.; Yu, D. F.; and Ficaro, E. P. 1999.
doi   link   bibtex  
Improved modeling of system response in list mode EM reconstruction of Compton scatter camera images. Wilderman, S. J.; Fessler, J. A.; Clinthorne, N. H.; and Rogers, W. L. 1999.
doi   link   bibtex  
Mean and variance of photon counting with deadtime. Yu, D. F.; and Fessler, J. A. 1999.
doi   link   bibtex  
Joint estimation of attenuation and emission images from PET scans. Erdogan, H.; and Fessler, J. A. 1999.
doi   link   bibtex  
  1998 (8)
Accelerated monotonic algorithms for transmission tomography. Erdogan, H.; and Fessler, J. A. 1998.
doi   link   bibtex  
Spatially-variant roughness penalty design for uniform resolution in penalized-likelihood image reconstruction. Stayman, J. W.; and Fessler, J. A. 1998.
doi   link   bibtex  
Edge-preserving tomographic reconstruction with nonlocal regularization. Yu, D. F.; and Fessler, J. A. 1998.
doi   link   bibtex  
A paraboloidal surrogates algorithm for convergent penalized-likelihood emission image reconstruction. Fessler, J. A.; and Erdogan, H. 1998.
doi   link   bibtex  
Reconstruction of 3d whole-body PET data using blurred anatomical labels. Comtat, C.; Kinahan, P. E.; Fessler, J. A.; Beyer, T.; Townsend, D. W.; Defrise, M.; and Michel, C. 1998.
doi   link   bibtex  
An ordered subsets algorithm for transmission tomography. Erdogan, H.; Gualtieri, G.; and Fessler, J. A. 1998. Inadvertently omitted from proceedings. Available from web page.
An ordered subsets algorithm for transmission tomography [pdf]Paper   link   bibtex  
Scan time optimization for post-injection PET scans. Erdogan, H.; and Fessler, J. A. 1998.
doi   link   bibtex  
List mode maximum likelihood reconstruction of Compton scatter camera images in nuclear medicine. Wilderman, S. J.; Clinthorne, N. H.; Fessler, J. A.; and Rogers, W. L. 1998.
doi   link   bibtex  
  1997 (4)
Penalized likelihood emission image reconstruction with uncertain boundary information. Titus, S.; Hero, A. O.; and Fessler, J. A. 1997.
doi   link   bibtex  
Grouped coordinate descent algorithms for robust edge-preserving image restoration. Fessler, J. A. 1997.
doi   link   bibtex  
Preconditioning methods for shift-variant image reconstruction. Fessler, J. A. 1997.
doi   link   bibtex  
Approximate variance images for penalized-likelihood image reconstruction. Fessler, J. A. 1997.
doi   link   bibtex  
  1996 (7)
Improved penalized likelihood reconstruction of anatomically correlated emission data. Titus, S. R.; Hero, A. O.; and Fessler, J. A. 1996.
doi   link   bibtex  
Fully 3D PET image reconstruction using a Fourier preconditioned conjugate-gradient algorithm. Fessler, J. A.; and Ficaro, E. P. 1996.
doi   link   bibtex  
Statistical image reconstruction methods for simultaneous emission/transmission PET scans. Erdogan, H.; and Fessler, J. A. 1996.
doi   link   bibtex  
Statistical image reconstruction methods in PET with compensation for missing data. Kinahan, P. E.; Fessler, J. A.; and Karp, J. S. 1996.
doi   link   bibtex  
Preliminary studies on the feasibility of addition of vertex view to conventional brain SPECT. Ng, C.; Clinthorne, N. H.; Fessler, J. A.; Hero, A. O.; Zhang, Y.; and Rogers, W. L. 1996.
doi   link   bibtex  
Objective functions for tomographic reconstruction from randoms-precorrected PET scans. Yavuz, M.; and Fessler, J. A. 1996.
doi   link   bibtex  
Experimental evaluation for joint estimation approach. Zhang, Y.; Fessler, J. A.; Clinthorne, N. H.; and Rogers, W. L. 1996.
doi   link   bibtex  
  1995 (6)
Moments of implicitly defined estimators (e.g. ML and MAP): applications to transmission tomography. Fessler, J. A. 1995.
doi   link   bibtex  
NMR object boundaries: B-spline modeling and estimator performance. Titus, S. R.; Hero, A. O.; and Fessler, J. A. 1995.
doi   link   bibtex  
Incorporating MRI region information into SPECT reconstruction using joint estimation. Zhang, Y.; Fessler, J. A.; Clinthorne, N. H.; and Rogers, W. L. 1995.
doi   link   bibtex  
Combined diagonal/Fourier preconditioning methods for image reconstruction in emission tomography. Booth, S. D.; and Fessler, J. A. 1995.
doi   link   bibtex  
Fast parallelizable algorithms for transmission image reconstruction. Fessler, J. A.; Ficaro, E. P.; Clinthorne, N. H.; and Lange, K. 1995.
doi   link   bibtex  
Spectral analysis using regularized non-negative least-squares estimation. Chiao, P. C.; Fessler, J. A.; Zasadny, K. R.; and Wahl, R. L. 1995.
doi   link   bibtex  
  1994 (5)
Uniform quadratic penalties cause nonuniform image resolution (and sometimes vice versa). Fessler, J. A.; and Rogers, W. L. 1994.
doi   link   bibtex  
Uniform CR bound: implementation issues and applications. Usman, M.; Hero, A. O.; and Fessler, J. A. 1994.
doi   link   bibtex  
Joint estimation for incorporating MRI anatomic images into SPECT reconstruction. Zhang, Y.; Fessler, J. A.; Clinthorne, N. H.; and Rogers, W. L. 1994.
doi   link   bibtex  
A mixture-site model for edge-preserving image restoration. Fessler, J. A. 1994.
doi   link   bibtex  
Bias-variance tradeoffs analysis using uniform CR bound for image reconstruction. Usman, M.; Hero, A. O.; and Fessler, J. A. 1994.
doi   link   bibtex  
  1993 (5)
Complete-data spaces and generalized EM algorithms. Fessler, J. A.; and Hero, A. O. 1993.
doi   link   bibtex  
Integrated and automated data analysis method for neuronal activation studies using O-15 water PET. Minoshima, S.; Koeppe, R. A.; Fessler, J. A.; Mintun, M. A.; Berger, K. L.; Taylor, S. F.; and Kuhl, D. E. In Uemura, K; and others, editor(s), Quantification of brain function, Tracer kinetics and image analysis in brain PET, pages 409–17. Elsevier, 1993.
link   bibtex  
Cramer-Rao lower bounds for biased image reconstruction. Fessler, J. A.; and Hero, A. O. 1993.
doi   link   bibtex  
New complete-data spaces and faster algorithms for penalized-likelihood emission tomography. Fessler, J. A.; and Hero, A. O. 1993.
doi   link   bibtex  
Bias-variance tradeoffs analysis using uniform CR bound for a SPECT system. Usman, M.; Hero, A. O.; Fessler, J. A.; and Rogers, W. L. 1993.
doi   link   bibtex  
  1992 (3)
Hidden data spaces for maximum-likelihood PET reconstruction. Fessler, J. A. 1992.
doi   link   bibtex  
Segmented attenuation correction for PET using ICM. Fessler, J. A. 1992.
doi   link   bibtex  
A fast recursive algorithm for computing CR-type bounds for image reconstruction problems. Hero, A. O.; Fessler, J. A.; and Rogers, W. L. 1992.
doi   link   bibtex  
  1991 (3)
Robust maximum-likelihood position estimation in scintillation cameras. Fessler, J. A.; Rogers, W. L.; and Clinthorne, N. H. 1991.
doi   link   bibtex  
Regularized emission image reconstruction using imperfect side information. Fessler, J. A.; Clinthorne, N. H.; and Rogers, W. L. 1991.
doi   link   bibtex  
Joint maximum likelihood estimation of emission and attenuation densities in PET. Clinthorne, N. H.; Fessler, J. A.; Hutchins, G. D.; and Rogers, W. L. 1991.
doi   link   bibtex  
  1989 (2)
3-D reconstruction of vessels with stenoses and aneurysms from dual bi-plane angiograms. Fessler, J. A.; and Macovski, A. 1989.
doi   link   bibtex  
Model-based 3-D reconstruction of branching vessels. Fessler, J. A.; Nishimura, D. G.; and Macovski, A. 1989.
doi   link   bibtex  
  1985 (1)
Parallel image thinning and vectorization on PASM. Kuehn, J.; Fessler, J. A.; and Siegel, H. 1985.
Parallel image thinning and vectorization on PASM [pdf]Paper   link   bibtex  

Conference Abstracts

BibBase fessler, j
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  2025 (17)
Improved spatial resolution for Looping Star fMRI using UNFOLD. Frey, D.; Xiang, H.; Lobos, R.; Fessler, J. A.; and Noll, D. C. 2025.
Improved spatial resolution for Looping Star fMRI using UNFOLD [link]Paper   link   bibtex  
Sub 2 mm resolution fMRI at 3T using randomly undersampled 3D-EPI with locally low-rank + sparse reconstruction. Fung, R. T. L.; Lobos, R. A.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. 2025.
Sub 2 mm resolution fMRI at 3T using randomly undersampled 3D-EPI with locally low-rank + sparse reconstruction [link]Paper   link   bibtex  
Combined diffusion relaxometry: phantom validation and ex vivo characterization of Alzheimer's disease lesions. Jacobson, A.; Murguia, A.; Swanson, S. D.; Scheven, U.; Nielsen, J.; Fessler, J. A.; and Seraji-Bozorgzad, N. 2025.
Combined diffusion relaxometry: phantom validation and ex vivo characterization of Alzheimer's disease lesions [link]Paper   link   bibtex  
Spatiotemporal maps for dynamic MRI reconstruction: a proof-of-principle demonstration in single-coil animal gastrointestinal MRI. Lobos, R. A.; Wang, X.; Liu, Z.; Fessler, J. A.; and Noll, D. C. 2025.
Spatiotemporal maps for dynamic MRI reconstruction: a proof-of-principle demonstration in single-coil animal gastrointestinal MRI [link]Paper   link   bibtex  
Impact of tissue sample preparation on myelin-sensitive quantitative MR imaging and histological analysis. Murguia, A.; Jacobson, A.; Swanson, S. D.; Scheven, U.; Nielsen, J.; Fessler, J. A.; and Seraji-Bozorgzad, N. 2025.
Impact of tissue sample preparation on myelin-sensitive quantitative MR imaging and histological analysis [link]Paper   link   bibtex  
Open-source, multi-vendor B0 shimming protocol. Pothoof, J.; Wehkamp, N.; Fessler, J. A.; Noll, D.; Zaitsev, M.; and Nielsen, J. 2025.
Open-source, multi-vendor B0 shimming protocol [link]Paper   link   bibtex  
3D high-resolution reduced field-of-view T2-weighted imaging by combining 3D EPI and spatially selective pulses. Yang, J.; Nielsen, J.; Fessler, J. A.; and Jiang, Y. 2025.
3D high-resolution reduced field-of-view T2-weighted imaging by combining 3D EPI and spatially selective pulses [link]Paper   link   bibtex  
Bilevel optimized implicit neural representation for scan-specific accelerated MRI reconstruction. Yu, H.; Fessler, J. A.; and Jiang, Y. 2025.
Bilevel optimized implicit neural representation for scan-specific accelerated MRI reconstruction [link]Paper   link   bibtex  
Characterizing contractile motion along the stomach medial axis from dynamic MRI. Jones, R.; You, D.; Fessler, J. A.; and Balter, J. 2025. To appear
link   bibtex  
3D high-resolution reduced field-of-view T2-weighted prostate imaging by combining 3D EPI and spatially selective pulses. Yang, J.; Nielsen, J.; Fessler, J. A.; and Jiang, Y. 2025. To appear
3D high-resolution reduced field-of-view T2-weighted prostate imaging by combining 3D EPI and spatially selective pulses [link]Paper   link   bibtex  
Characterizing white matter in ADRD tissue samples with advanced quantitative MR imaging. Jacobson, A.; Najarian, C.; Murguia, A.; Swanson, S.; Scheven, U.; Nielsen, J.; Fessler, J. A.; and Seraji-Bozorgzad, N. 2025. Submitted
link   bibtex  
Efficient prior models for image reconstruction. Fessler, J. A. 2025. Invited talk
Efficient prior models for image reconstruction [link]Paper   link   bibtex  
Efficient generative models for computational imaging. Fessler, J. A. 2025. Invited talk
Efficient generative models for computational imaging [link]Paper   link   bibtex  
Reduced spectral overlap of aliasing and task signal in Looping Star fMRI via UNFOLD-like regularization. Frey, D.; Xiang, H.; Fessler, J. A.; and Noll, D. C. 2025. Submitted
link   bibtex  
Optimizing relaxation-exchange magnetic resonance imaging (REXI) scan design to estimate quantitative parameter maps in simulated white and grey matter tissue. Najarian, C.; Swanson, S. D.; Seraji-Bozorgzad, N.; Nielsen, J.; and Fessler, J. A. 2025. Submitted
Optimizing relaxation-exchange magnetic resonance imaging (REXI) scan design to estimate quantitative parameter maps in simulated white and grey matter tissue [link]Paper   link   bibtex  
3D high-resolution reduced field-of-view T2-weighted imaging by combining 3D EPI and spatially selective pulses. Yang, J.; Nielsen, J.; Fessler, J. A.; and Jiang, Y. 2025. Submitted
link   bibtex  
Bilevel optimized implicit neural representation for scan-specific accelerated MRI reconstruction. Yu, H.; Fessler, J. A.; and Jiang, Y. 2025. Submitted
link   bibtex  
  2024 (19)
Swap-Net: A memory-efficient 2.5D cascade network for 3D image reconstruction. Xu, X.; Klasky, M.; McCann, M. T.; and Fessler, J. A. 2024.
Swap-Net: A memory-efficient 2.5D cascade network for 3D image reconstruction [link]Paper   link   bibtex  
A fast double stochastic proximal method for CS-MRI reconstruction with multiple wavelets. Hong, T.; Hernandez-Garcia, L.; and Fessler, J. A. 2024.
link   bibtex  
Characterizing tissue relaxation and magnetization transfer in fresh, thawed, and fixed white matter tissue samples. Murguia, A.; Swanson, S.; Scheven, U.; Nielsen, J.; Fessler, J. A.; and Seraji-Bozorgzad, N. 2024.
link   bibtex  
Joint optimization of multi-echo reconstruction and quantitative map estimation in looping star. Xiang, H.; Onder, I. K.; Mehta, A. H.; Fessler, J. A.; and Noll, D. C. 2024.
link   bibtex  
Calibration-free multidimensional universal refocusing pulse design for 3D reduced field-of-view prostate imaging. Yang, J.; Fajardo, J. E.; Fessler, J. A.; Gulani, V.; Nielsen, J.; and Jiang, Y. 2024.
link   bibtex  
JuliaImageRecon: efficient, reproducible and open-source image reconstruction. Fessler, J. A. 2024. Invited talk
link   bibtex  
An unsupervised way to optimize MRI sampling trajectories for arterial spin labeling magnetic resonance fingerprinting. Hong, T.; Frey, D.; Hernandez-Garcia, L.; and Fessler, J. A. 2024. Invited talk
link   bibtex  
Swap-Net: A memory-efficient 2.5D network for 3D image reconstruction. Xu, X.; Klasky, M.; McCann, M.; Hu, J.; and Fessler, J. A. 2024. Invited talk
link   bibtex  
Recovering stoichiometry via multi-modal fused electron tomography. Manassa, J.; Schwartz, J.; Oh, . J.; Di, Z. W.; Jiang, Y.; Zheng, H.; Fessler, J. A.; Yang, Y.; and Hovden, R. 2024. To appear
Recovering stoichiometry via multi-modal fused electron tomography [link]Paper   link   bibtex  
Patch-based diffusion models for solving inverse problems. Fessler, J. A.; Hu, J.; Song, B.; Xu, X.; and Shen, L. 2024. Invited talk todo: url for talk
Patch-based diffusion models for solving inverse problems [link]Paper   link   bibtex  
Scan-adaptive MRI undersampling using neighbor based optimization. Gautam, S.; Li, A.; Seiberlich, N.; Fessler, J. A.; and Ravishankar, S. 2024.
link   bibtex  
Provable preconditioned plug-and-play approach for compressed sensing MRI reconstruction. Hong, T.; Xu, X.; Hu, J.; and Fessler, J. A. 2024.
link   bibtex  
DiffusionBlend: A fully 3D image prior for CT image reconstruction. Hu, J.; Song, B.; Fessler, J. A.; and Shen, L. 2024.
link   bibtex  
Shorter SPECT scans using self-supervised coordinate learning to synthesize skipped projection views. Jia, Y.; Li, Z.; Xu, X.; Hu, J.; Fessler, J. A.; and Dewaraja, Y. 2024.
link   bibtex  
Smooth optimization algorithms for global and locally low-rank regularizers. Lobos, R. A.; Salazar-Cavazos, J.; Xiang, H.; Noll, D. C.; Nadakuditi, R. R.; and Fessler, J. A. 2024.
link   bibtex  
DiffusionBlend: Learning 3D image prior through position-aware diffusion score blending for 3D computed tomography reconstruction. Song, B.; Hu, J.; Luo, Z.; Fessler, J. A.; and Shen, L. 2024.
DiffusionBlend: Learning 3D image prior through position-aware diffusion score blending for 3D computed tomography reconstruction [link]Paper   link   bibtex  
Characterizing myelin content in white matter ADRD tissue samples with combined diffusion relaxometry, magnetization transfer, and multi-echo spin-echo sequences. Jacobson, A.; Murguia, A.; Swanson, S. D.; Scheven, U.; Nielsen, J.; Fessler, J. A.; and Seraji-Bozorgzad, N. 2024. Submitted
link   bibtex  
Deep learning-based foundation model for visual analysis of complex particles. Visheratina, A.; Fessler, J. A.; and Kotov, N. 2024.
link   bibtex  
Patch-based diffusion models for image reconstruction. Fessler, J. A.; Hu, J.; Song, B.; Xu, X.; and Shen, L. 2024. Invited talk
Patch-based diffusion models for image reconstruction [link]Paper   link   bibtex  
  2023 (20)
Training end-to-end unrolled iterative neural networks for SPECT image reconstruction: A fast and memory efficient Julia toolbox. Li, Z.; Dewaraja, Y. K.; and Fessler, J. A. 2023.
link   bibtex  
Optimizing non-Cartesian sampling patterns via gradient methods. Wang, G.; Nielsen, J.; Noll, D. C.; and Fessler, J. A. 2023.
Optimizing non-Cartesian sampling patterns via gradient methods [pdf]Paper   link   bibtex  
Fast, isotropic, whole head perfusion imaging using a Spin Echo Rotating In-Out Spiral with velocity selective arterial spin labeling (SERIOS VSASL). Frey, D.; Fessler, J. A.; Noll, D.; and Hernandez-Garcia, L. 2023.
Fast, isotropic, whole head perfusion imaging using a Spin Echo Rotating In-Out Spiral with velocity selective arterial spin labeling (SERIOS VSASL) [link]Paper   link   bibtex  
Complex quasi-Newton proximal methods for image reconstruction in compressed sensing MRI. Hong, T.; Fessler, J. A.; and Hernandez-Garcia, L. 2023.
Complex quasi-Newton proximal methods for image reconstruction in compressed sensing MRI [link]Paper   link   bibtex  
Fast, model-based, and navigator-free retrospective motion correction for non-Cartesian fMRI. Wang, G.; Guo, S.; Fessler, J. A.; and Noll, D. C. 2023.
Fast, model-based, and navigator-free retrospective motion correction for non-Cartesian fMRI [link]Paper   link   bibtex  
Stochastic optimization of 3D non-Cartesian sampling trajectory (SNOPY). Wang, G.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2023.
Stochastic optimization of 3D non-Cartesian sampling trajectory (SNOPY) [link]Paper   link   bibtex  
Spatial-temporal reconstruction using UNFOLD in looping-star silent fMRI. Xiang, H.; Fessler, J. A.; and Noll, D. C. 2023.
Spatial-temporal reconstruction using UNFOLD in looping-star silent fMRI [link]Paper   link   bibtex  
Sparse-view cone beam CT reconstruction using data-consistent supervised and adversarial learning from scarce training data. Maliakal, G.; Lahiri, A.; Klasky, M. L.; Fessler, J. A.; and Ravishankar, S. 2023. To appear
Sparse-view cone beam CT reconstruction using data-consistent supervised and adversarial learning from scarce training data [link]Paper   link   bibtex  
Generalizability (or not?) of patch-based image models. Fessler, J. A.; Hu, J.; and Xu, X. 2023. Invited presentation.
link   bibtex  
Reducing SPECT acquisition time by predicting missing projections with single-scan self-supervised coordinate-based learning. Li, Z.; Xu, X.; Hu, J.; Fessler, J. A.; and Dewaraja, Y. J. Nuc. Med. (Abs. Book), 64(S1): P1014. June 2023.
Reducing SPECT acquisition time by predicting missing projections with single-scan self-supervised coordinate-based learning [link]Paper   link   bibtex  
Y-90 Bremsstrahlung SPECT scatter estimation and voxel dosimetry using a deep learning pipeline. Jia, Y.; Li, Z.; Fessler, J. A.; and Dewaraja, Y. J. Nuc. Med. (Abs. Book), 64(S1): P1211. June 2023.
Y-90 Bremsstrahlung SPECT scatter estimation and voxel dosimetry using a deep learning pipeline [link]Paper   link   bibtex  
Measuring 3D chemistry at 1 nm resolution with fused multi-modal electron tomography. Schwartz, J.; Di, Z. W.; Jiang, Y.; Cho, M. G.; Qian, Y.; Gu, J.; Rozeveld, S.; Ercius, P.; Fessler, J. A.; Xu, T.; Scott, M.; and Hovden, R. 2023.
doi   link   bibtex  
Dose requirements for fused multi-modal electron tomography. Manassa, J.; Schwartz, J.; Jiang, Y.; Zheng, H.; Fessler, J. A.; Di, Z. W.; and Hovden, R. 2023.
doi   link   bibtex  
An end-to-end learning approach for subpixel feature extraction. Xu, X.; Fessler, J. A.; Klasky, M.; Sidharth, G. S.; Schei, J. L.; and McCann, M. T. 2023.
doi   link   bibtex  
Exploring myelin in post-mortem tissue in Alzheimer's disease: A high-field MR study. Murguia, A.; Swanson, S.; Scheven, U.; Nielsen, J.; Fessler, J. A.; and Seraji-Bozorgzad, N. 2023.
link   bibtex  
Deep learning for prediction of mild cognitive impairment and dementia of the Alzheimer's type. Peltier, S. J.; Han, K.; Hampstead, B. M.; Fessler, J. A.; and Li, Z. 2023.
link   bibtex  
Measuring 3D chemistry at 1 nm resolution with fused multi-modal electron tomography. Schwartz, J.; Zichao, W. D.; Jiang, Y.; Qian, Y.; Cho, M. G.; Rozeveld, S.; Ercius, P.; Fessler, J. A.; Xu, T.; Scott, M.; and Hovden, R. 2023. Submitted
link   bibtex  
Accelerated optimization for dynamic MRI reconstruction with locally low-rank regularizers. Fessler, J. A.; Lobos, R.; and Cavazos, J. A. S. 2023. Invited presentation.
Accelerated optimization for dynamic MRI reconstruction with locally low-rank regularizers [link]Paper   link   bibtex  
Dynamic MRI reconstruction with locally low-rank regularizers. Fessler, J. A.; Cavazos, J. A. S.; and Lobos, R. 2023. Invited presentation.
Dynamic MRI reconstruction with locally low-rank regularizers [link]Paper   link   bibtex  
Characterizing tissue relaxation in fresh and fixed white matter tissue samples. Murguia, A.; Swanson, S.; Scheven, U.; Nielsen, J.; Fessler, J. A.; and Seraji-Bozorgzad, N. 2023.
link   bibtex  
  2022 (16)
Image reconstruction using Julia. Fessler, J. A.; and Knopp, T. 2022.
link   bibtex  
Limited-view cone beam CT reconstruction using 3D patch-based supervised and adversarial learning: Validation using hydrodynamic simulations and experimental tomographic data. Klasky, M. L.; Lahiri, A.; Fessler, J. A.; Ravishankar, S.; Espy, M.; McCann, M. T.; Wilcox, T.; and Khatiwada, A. 2022.
Limited-view cone beam CT reconstruction using 3D patch-based supervised and adversarial learning: Validation using hydrodynamic simulations and experimental tomographic data [link]Paper   link   bibtex  
Voxel-wise temporal attention network and simulation-driven dynamic MRI sequence reconstruction. Guo, S.; Fessler, J. A.; and Noll, D. C. 2022.
Voxel-wise temporal attention network and simulation-driven dynamic MRI sequence reconstruction [link]Paper   link   bibtex  
FieldMapNet MRI: Learning-based mapping from single echo time BOLD fMRI data to fieldmaps with model-based reconstruction. Haskell, M. W.; Lahiri, A.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2022.
FieldMapNet MRI: Learning-based mapping from single echo time BOLD fMRI data to fieldmaps with model-based reconstruction [link]Paper   link   bibtex  
Quantifying exchange using optimized bSSFP sequences. Murthy, N.; Nielsen, J.; Whitaker, S. T.; Haskell, M. W.; Swanson, S. D.; Seiberlich, N.; and Fessler, J. A. 2022.
Quantifying exchange using optimized bSSFP sequences [link]Paper   link   bibtex  
Reconstruction may benefit from tailored sampling trajectories: optimizing non-Cartesian trajectories for model-based reconstruction. Wang, G.; Noll, D. C.; and Fessler, J. A. 2022.
Reconstruction may benefit from tailored sampling trajectories: optimizing non-Cartesian trajectories for model-based reconstruction [link]Paper   link   bibtex  
MIRTorch: A pytorch-empowered differentiable [reconstruction] toolbox for fast image reconstruction and scan protocol optimization. Wang, G.; Shah, N.; Zhu, K.; Noll, D. C.; and Fessler, J. A. 2022.
MIRTorch: A pytorch-empowered differentiable [reconstruction] toolbox for fast image reconstruction and scan protocol optimization [link]Paper   link   bibtex  
Intravoxel B0 corrected image reconstruction with RF prephasing. Whitaker, S. T.; Nielsen, J.; and Fessler, J. A. 2022.
Intravoxel B0 corrected image reconstruction with RF prephasing [link]Paper   link   bibtex  
End-to-end scan parameter optimization for improved myelin water imaging. Whitaker, S. T.; Nielsen, J.; and Fessler, J. A. 2022.
End-to-end scan parameter optimization for improved myelin water imaging [link]Paper   link   bibtex  
Model-based image reconstruction in looping-star MRI. Xiang, H.; Fessler, J. A.; and Noll, D. C. 2022.
Model-based image reconstruction in looping-star MRI [link]Paper   link   bibtex  
HePPCAT: probabilistic PCA for data with heteroscedastic noise. Hong, D.; Gilman, K.; Balzano, L.; and Fessler, J. A. 2022.
HePPCAT: probabilistic PCA for data with heteroscedastic noise [link]Paper   link   bibtex  
Measuring 3D chemistry with fused multi-modal electron tomography. Schwartz, J.; Pietryga, J.; Rowell, J.; Fessler, J. A.; Jiang, Y.; Di, Z. W.; Robinson, R.; and Hovden, R. 2022.
doi   link   bibtex  
Differentiable MRI: joint data-driven optimization of sampling pattern, model-based reconstruction and more. Wang, G.; Fessler, J. A.; and Noll, D. 2022.
link   bibtex  
Super-hePPCAT: supervised probabilistic PCA for data with heteroscedastic noise. Block, J. L.; Balzano, L.; Scott, C.; and Fessler, J. A. 2022.
link   bibtex  
Deep learning denoising and assessment of detectability of microcalcifications in digital breast tomosynthesis: A task-based image evaluation approach using CNN. Gao, M.; Samala, R. K.; Fessler, J. A.; and Chan, H. 2022.
link   bibtex  
Representation learning of resting state functional magnetic resonance imaging using variational autoencoder with convolutional neural network and transformer. Murguia, A.; Kim, J.; Zhang, Y.; Han, K.; Wen, Z.; Choi, M.; Wang, X.; Fessler, J. A.; and Liu, Z. 2022.
Representation learning of resting state functional magnetic resonance imaging using variational autoencoder with convolutional neural network and transformer [link]Paper   link   bibtex  
  2021 (12)
Computational imaging using Julia. Fessler, J. A. 2021. Invited
link   bibtex  
Blind primed supervised (BLIPS) learning for MR image reconstruction. Lahiri, A.; Wang, G.; Ravishankar, S.; and Fessler, J. A. 2021.
Blind primed supervised (BLIPS) learning for MR image reconstruction [link]Paper   link   bibtex  
Perfusion quantification using velocity selective inversion pulses in a combined ASL-MRF framework. Lahiri, A.; Fessler, J. A.; and Hernandez-Garcia, L. 2021.
Perfusion quantification using velocity selective inversion pulses in a combined ASL-MRF framework [link]Paper   link   bibtex  
Multi-scale accelerated auto-differentiable Bloch-simulation based joint design of excitation RF and gradient waveforms. Luo, T.; Noll, D. C.; Fessler, J. A.; and Nielsen, J. 2021.
Multi-scale accelerated auto-differentiable Bloch-simulation based joint design of excitation RF and gradient waveforms [link]Paper   link   bibtex  
An open toolbox for harmonized B0 shimming. Nielsen, J.; Bilgic, B.; Stockmann, J. P.; Gagoski, B.; Chiou, Y. G.; Ning, L.; Ji, Y.; Rathi, Y.; Fessler, J. A.; Noll, D. C.; and Zaitsev, M. 2021.
An open toolbox for harmonized B0 shimming [link]Paper   link   bibtex  
B-spline parameterized joint optimization of reconstruction and K-space sampling patterns (BJORK) for accelerated 2D acquisition. Wang, G.; Luo, T.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2021.
B-spline parameterized joint optimization of reconstruction and K-space sampling patterns (BJORK) for accelerated 2D acquisition [link]Paper   link   bibtex  
Efficient NUFFT backpropagation for stochastic sampling optimization. Wang, G.; Noll, D. C.; and Fessler, J. A. 2021.
Efficient NUFFT backpropagation for stochastic sampling optimization [link]Paper   link   bibtex  
Region of interest image reconstruction for range verification for proton beam therapy using 3-D position sensitive CdZnTe. Nwadeyi, V.; Polf, J.; Fessler, J. A.; and He, Z. 2021.
link   bibtex  
HePPCAT: Probabilistic PCA for data with heteroscedastic noise. Gilman, K.; Hong, D.; Balzano, L.; and Fessler, J. A. 2021.
link   bibtex  
Limited-view cone beam CT reconstruction using 3D patch-based supervised and adversarial learning. Lahiri, A.; Klasky, M. L.; Fessler, J. A.; and Ravishankar, S. 2021.
doi   link   bibtex  
Plug-and-play reconstruction with deep learning denoising for improving detectability of microcalcifications in digital breast tomosynthesis images. Gao, M.; Fessler, J. A.; and Chan, H. 2021. To appear
link   bibtex  
MIRT: Hands on / Interactive session. Fessler, J. A. 2021.
MIRT: Hands on / Interactive session [link]Paper   link   bibtex  
  2020 (10)
The state of image reconstruction in medical CT. Fessler, J. A. 2020.
The state of image reconstruction in medical CT [link]Paper   link   bibtex  
Deep learning field map estimation with model-based image reconstruction for off resonance correction of brain images using a spiral acquisition. Haskell, M. W.; Cao, A. A.; Noll, D. C.; and Fessler, J. A. 2020.
Deep learning field map estimation with model-based image reconstruction for off resonance correction of brain images using a spiral acquisition [link]Paper   link   bibtex  
High SNR and high-resolution fMRI using 3D OSSI and tensor model reconstruction. Guo, S.; Fessler, J. A.; and Noll, D. 2020.
High SNR and high-resolution fMRI using 3D OSSI and tensor model reconstruction [link]Paper   link   bibtex   1 download  
OSSI manifold model for high-resolution fMRI joint reconstruction and quantification. Guo, S.; Noll, D.; and Fessler, J. A. 2020.
OSSI manifold model for high-resolution fMRI joint reconstruction and quantification [link]Paper   link   bibtex  
Combining supervised and semi-blind dictionary (Super-BReD) learning for MRI reconstruction. Lahiri, A.; Ravishankar, S.; and Fessler, J. A. 2020.
Combining supervised and semi-blind dictionary (Super-BReD) learning for MRI reconstruction [link]Paper   link   bibtex  
Myelin water imaging using STFR with exchange. Whitaker, S. T.; Nataraj, G.; Nielsen, J.; and Fessler, J. A. 2020.
Myelin water imaging using STFR with exchange [link]Paper   link   bibtex  
A temporal model for task-based functional MRI reconstruction. Lin, C. Y.; Noll, D.; and Fessler, J. A. 2020.
A temporal model for task-based functional MRI reconstruction [pdf]Paper   link   bibtex  
Local tensor low-rank for multi-slice GRE fMRI acceleration. Guo, S.; Fessler, J. A.; and Noll, D. C. 2020.
Local tensor low-rank for multi-slice GRE fMRI acceleration [link]Paper   link   bibtex  
Joint design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation. Luo, T.; Noll, D. C.; Fessler, J. A.; and Nielsen, J. 2020.
link   bibtex  
Oscillating steady state imaging (OSSI) for fMRI using 3D sparse acquisition and model-based image reconstruction. Guo, S.; Fessler, J. A.; and Noll, D. C. 2020.
link   bibtex  
  2019 (14)
Dictionary-based oscillating steady state fMRI reconstruction. Guo, S.; Noll, D. C.; and Fessler, J. A. 2019.
Dictionary-based oscillating steady state fMRI reconstruction [link]Paper   link   bibtex  
Evaluation of sparse sampling approaches for 3D functional MRI. Karker, M.; Lin, C. Y.; Fessler, J. A.; and Noll, D. C. 2019.
Evaluation of sparse sampling approaches for 3D functional MRI [link]Paper   link   bibtex  
Optimizing MRF-ASL scan design towards precise quantification of hemodynamic properties in cerebrovascular disorders. Lahiri, A.; Fessler, J. A.; and Hernandez-Garcia, L. 2019.
Optimizing MRF-ASL scan design towards precise quantification of hemodynamic properties in cerebrovascular disorders [link]Paper   link   bibtex  
Routine B0 eddy current measurements with TOPPE for more robust spiral imaging. Nielsen, J.; Nataraj, G.; Fessler, J. A.; and Noll, D. C. 2019.
Routine B0 eddy current measurements with TOPPE for more robust spiral imaging [link]Paper   link   bibtex  
Myelin water fraction estimation using small-tip fast recovery MRI. Whitaker, S. T.; Nataraj, G.; Gao, M.; Nielsen, J.; and Fessler, J. A. 2019.
Myelin water fraction estimation using small-tip fast recovery MRI [link]Paper   link   bibtex  
A simple method for constrained optimal control RF pulse design. Williams, S. N.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2019.
A simple method for constrained optimal control RF pulse design [link]Paper   link   bibtex  
Graphene-based transparent photodetector array for multiplane imaging. Zhang, D.; Xu, Z.; Huang, Z.; Gutierrez, A. R.; Chun, I. Y.; Blocker, C. J.; Cheng, G.; Liu, Z.; Fessler, J. A.; Zhong, Z.; and Norris, T. B. 2019.
doi   link   bibtex  
Joint spectral reconstruction for Y90 bremsstrahlung SPECT using guided filtering. Kim, H.; Chun, S. Y.; Fessler, J. A.; and Dewaraja, Y. K. J. Nuc. Med. (Abs. Book), 60(s1): 43. May 2019.
Joint spectral reconstruction for Y90 bremsstrahlung SPECT using guided filtering [link]Paper   link   bibtex  
On enhancing Monte-Carlo scatter correction for Y90 bremsstrahlung SPECT using guided filtering. Kim, H.; Chun, S. Y.; Fessler, J. A.; and Dewaraja, Y. K. J. Nuc. Med. (Abs. Book), 60(s1): 1348. May 2019.
On enhancing Monte-Carlo scatter correction for Y90 bremsstrahlung SPECT using guided filtering [link]Paper   link   bibtex  
Improved low count quantitative SPECT reconstruction with a trained deep learning based regularizer. Lim, H.; Chun, I. Y.; Fessler, J. A.; and Dewaraja, Y. K. J. Nuc. Med. (Abs. Book), 60(s1): 42. May 2019.
Improved low count quantitative SPECT reconstruction with a trained deep learning based regularizer [link]Paper   link   bibtex  
Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics. Lahiri, A.; Fessler, J. A.; and Hernandez-Garcia, L. 2019.
link   bibtex  
High resolution OSS fMRI using tensor patch low-rank plus sparse. Guo, S.; Fessler, J. A.; and Noll, D. C. 2019. NIH BRAIN meeting
link   bibtex  
CT image reconstruction using adaptive signal models. Fessler, J. A. 2019. Invited plenary talk
CT image reconstruction using adaptive signal models [link]Paper   link   bibtex  
Asymptotic eigenstructure of weighted sample covariance matrices for large dimensional low-rank models with heteroscedastic noise. Hong, D.; Balzano, L.; and Fessler, J. A. 2019.
Asymptotic eigenstructure of weighted sample covariance matrices for large dimensional low-rank models with heteroscedastic noise [link]Paper   link   bibtex  
  2018 (16)
Low-rank plus sparse tensor models for light-field reconstruction from focal stack data. Blocker, C. J.; Chun, I. Y.; and Fessler, J. A. 2018. Poster.
link   bibtex  
Low-rank plus sparse tensor models for light-field reconstruction from focal stack data. Blocker, C. J.; Chun, I. Y.; and Fessler, J. A. 2018. Poster.
link   bibtex  
From convolutional analysis operator learning (CAOL) to convolution neural networks (CNN). Chun, I. Y.; and Fessler, J. A. 2018. Invited talk for special session on convolutional sparse representations
link   bibtex  
Limitations and caveats of deep learning. Fessler, J. A. 2018. Part of education course on Deep Learning
Limitations and caveats of deep learning [link]Paper   link   bibtex  
Optimized scan design for ASL fingerprinting and multiparametric estimation using neural network regression. Lahiri, A.; Fessler, J. A.; and Hernandez-Garcia, L. 2018.
Optimized scan design for ASL fingerprinting and multiparametric estimation using neural network regression [link]Paper   link   bibtex  
Accelerated high b-value DWI for higher-order diffusion analysis using a phase-constrained low-rank tensor model. Liu, L.; Johansson, A.; Balter, J. M.; Fessler, J. A.; and Cao, Y. 2018.
Accelerated high b-value DWI for higher-order diffusion analysis using a phase-constrained low-rank tensor model [link]Paper   link   bibtex  
A fast and general non-cartesian GRAPPA reconstruction method. Luo, T.; Noll, D. C.; Fessler, J. A.; and Nielsen, J. 2018.
A fast and general non-cartesian GRAPPA reconstruction method [link]Paper   link   bibtex  
Accelerating non-Cartesian, sparsity-promoting image reconstruction via line search FISTA. Muckley, M. J.; Fessler, J. A.; and Zibetti, M. V. W. 2018.
Accelerating non-Cartesian, sparsity-promoting image reconstruction via line search FISTA [link]Paper   link   bibtex  
Slab-selective spectral and spectral-spatial prewinding RF pulses. Williams, S. N.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2018.
Slab-selective spectral and spectral-spatial prewinding RF pulses [link]Paper   link   bibtex  
Optimized first-order method for decreasing the gradient of smooth convex functions. Kim, D.; and Fessler, J. A. 2018. Invited talk
link   bibtex  
Optimized first-order method for decreasing the gradient of smooth convex functions. Kim, D.; and Fessler, J. A. 2018.
link   bibtex  
Bias reduction in Y-90 PET with reconstruction that relaxes the non-negativity constraint. Lim, H.; Kim, K.; Li, Q.; Fessler, J. A.; and Dewaraja, Y. K. J. Nuc. Med. (Abs. Book), 59(S1): 580. May 2018.
Bias reduction in Y-90 PET with reconstruction that relaxes the non-negativity constraint [link]Paper   link   bibtex  
Medical image reconstruction using adaptive signal models. Fessler, J. A. 2018. Invited keynote
Medical image reconstruction using adaptive signal models [link]Paper   link   bibtex  
Joint dual photopeak image reconstruction in Lu-177 SPECT. Lim, H.; Fessler, J. A.; and Dewaraja, Y. 2018.
doi   link   bibtex  
Optimally weighted PCA for high-dimensional heteroscedastic data. Balzano, L.; Hong, D.; and Fessler, J. A. 2018.
Optimally weighted PCA for high-dimensional heteroscedastic data [link]Paper   link   bibtex  
Kernel regression for fast myelin water imaging. Nataraj, G.; Gao, M.; Nielsen, J.; and Fessler, J. A. 2018.
link   bibtex  
  2017 (13)
Improving the optimized gradient method for large-scale convex optimization. Kim, D.; and Fessler, J. A. 2017. Invited presentation.
Improving the optimized gradient method for large-scale convex optimization [link]Paper   link   bibtex  
Myelin water fraction estimation from optimized steady-state sequences using kernel ridge regression. Nataraj, G.; Nielsen, J.; and Fessler, J. A. 2017.
Myelin water fraction estimation from optimized steady-state sequences using kernel ridge regression [pdf]Paper   link   bibtex  
Improved simultaneous multislice pulse design directly constraining peak RF amplitude. Williams, S. N.; Noll, D. C.; and Fessler, J. A. 2017.
link   bibtex  
Theoretical analysis of PCA for heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2017.
Theoretical analysis of PCA for heteroscedastic data [link]Paper   link   bibtex  
Asymptotic performance of PCA for high-dimensional heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2017.
link   bibtex  
Y-90 SPECT maximum likelihood image reconstruction with a new model for tissue-dependent bremsstrahlung production. Lim, H.; Dewaraja, Y. K.; Wilderman, S.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 58(s1): 746. May 2017.
Y-90 SPECT maximum likelihood image reconstruction with a new model for tissue-dependent bremsstrahlung production [link]Paper   link   bibtex  
Data-driven models and approaches for imaging. Ravishankar, S.; and Fessler, J. A. 2017.
doi   link   bibtex  
Quantitative Y-90 PET for dosimetry in radioembolization. Lim, H.; Clinthorne, N.; Conti, M.; Fessler, J. A.; and Dewaraja, Y. 2017.
doi   link   bibtex  
Minimum out-of-slice error SMS RF pules design with direct peak, power, and in-slice error constraints. Williams, S. N.; Fessler, J. A.; and Noll, D. C. 2017.
link   bibtex  
Optimized design of MRF scan parameters for ASL signal acquisition. Lahiri, A.; Fessler, J. A.; and Hernandez-Garcia, L. 2017.
Optimized design of MRF scan parameters for ASL signal acquisition [pdf]Paper   link   bibtex  
Shallow learning with kernels for dictionary-free magnetic resonance fingerprinting. Nataraj, G.; Gao, M.; Asslander, J.; Scott, C.; and Fessler, J. A. 2017.
Shallow learning with kernels for dictionary-free magnetic resonance fingerprinting [pdf]Paper   link   bibtex  
Optimally weighted PCA for high-dimensional heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2017.
link   bibtex  
Optimally weighted PCA for high-dimensional heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2017.
link   bibtex  
  2016 (19)
Majorizer design for non-Cartesian MRI with sparsity-promoting regularization. Muckley, M. J.; Noll, D. C.; and Fessler, J. A. 2016.
Majorizer design for non-Cartesian MRI with sparsity-promoting regularization [pdf]Paper   link   bibtex  
PowerGrid: A open source library for accelerated iterative magnetic resonance image reconstruction. Cerjanic, A.; Holtrop, J. L.; Ngo, G.; Leback, B.; Arnold, G.; Van Moer, M.; LaBelle, G.; Fessler, J. A.; and Sutton, B. P. 2016.
PowerGrid: A open source library for accelerated iterative magnetic resonance image reconstruction [link]Paper   link   bibtex  
Fast, iterative subsampled spiral reconstruction via circulant majorizers. Muckley, M. J.; Noll, D. C.; and Fessler, J. A. 2016.
Fast, iterative subsampled spiral reconstruction via circulant majorizers [link]Paper   link   bibtex  
Improved gradient waveforms for small-tip 3D spatially tailored excitation using iterated local search. Nielsen, J. F.; Sun, H.; Fessler, J. A.; and Noll, D. C. 2016.
Improved gradient waveforms for small-tip 3D spatially tailored excitation using iterated local search [link]Paper   link   bibtex  
Multi-node model-based image reconstruction with GPUs. McGaffin, M. G.; and Fessler, J. A. 2016.
Multi-node model-based image reconstruction with GPUs [link]Paper   link   bibtex  
Efficient dictionary learning methods using sums of outer products (SOUP-DIL). Ravishankar, S.; Nadakuditi, R. R.; and Fessler, J. A. 2016.
Efficient dictionary learning methods using sums of outer products (SOUP-DIL) [link]Paper   link   bibtex  
Efficient dictionary learning models and their application to inverse problems. Ravishankar, S.; Nadakuditi, R. R.; Fessler, J. A.; and Moore, B. E. 2016.
Efficient dictionary learning models and their application to inverse problems [link]Paper   link   bibtex  
Image reconstruction for low dose X-ray CT using learned overcomplete sparsifying transforms. Zheng, X.; Ravishankar, S.; Lu, Z.; Long, Y.; and Fessler, J. A. 2016.
Image reconstruction for low dose X-ray CT using learned overcomplete sparsifying transforms [link]Paper   link   bibtex  
Transmission tomographic image reconstruction using optimization transfer: Application to joint attenuation / activity image reconstruction for TOF PET. Chun, S. Y.; Kim, K. Y.; Lee, J. S.; and Fessler, J. A. 2016. Invited
link   bibtex  
Female pelvic synthetic CT generation based on joint shape and intensity analysis. Liu, L.; Jolly, S.; Cao, Y.; Vineberg, K.; Fessler, J. A.; and Balter, J. M. 2016.
doi   link   bibtex  
Investigation of a female pelvic synthetic CT generation method without ultra-short TE imaging. Liu, L.; Jolly, S.; Cao, Y.; Vineberg, K.; Fessler, J. A.; and Balter, J. M. 2016.
link   bibtex  
AFM & AFM-IR studies of collagen microstructure and chemical composition for estrogen depleted and drug treated cortical bone and lumbar vertebrae. Holl, M. M. B.; Cauble, M.; Muckley, M.; Fang, M.; Ahn, T.; Vaidyanathan, S.; Merzel, R.; Fessler, J. A.; Welch, K.; Rothman, E. D.; Orr, B. G.; and Duong, L. T. 2016.
AFM & AFM-IR studies of collagen microstructure and chemical composition for estrogen depleted and drug treated cortical bone and lumbar vertebrae [link]Paper   link   bibtex  
AFM-IR studies of collagen microstructure and chemical composition for estrogen depleted and drug treated cortical bone and lumbar vertebrae. Holl, M. M. B.; Cauble, M.; Muckley, M.; Fang, M.; Ahn, T.; Vaidyanathan, S.; Merzel, R.; Fessler, J. A.; Welch, K.; Rothman, E. D.; Orr, B. G.; and Duong, L. T. 2016.
link   bibtex  
Spectral-spatial RF pulse design with direct constraints on peak amplitude and integrated power. Williams, S. N.; Nielsen, J.; Noll, D. C.; and Fessler, J. A. 2016.
link   bibtex  
A weighted PCA method for subspace estimation from heterogeneous data. Hong, D.; Fessler, J. A.; and Balzano, L. 2016.
link   bibtex  
Female pelvic synthetic CT generation based on joint shape and intensity analysis. Liu, L.; Jolly, S.; Cao, Y.; Vineberg, K.; Balter, J. M.; and Fessler, J. A. 2016.
link   bibtex  
Mitigating RF peak amplitude and power limitations for simultaneous multislice excitation MRI. Williams, S.; Noll, D. C.; and Fessler, J. A. 2016.
link   bibtex  
Predicting the asymptotic performance of rank-1 PCA with heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2016.
link   bibtex  
Predicting the asymptotic performance of rank-1 PCA with heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2016.
link   bibtex  
  2015 (12)
Spline temporal basis for improved pharmacokinetic parameter estimation in SENSE DCE-MRI. Le, M.; and Fessler, J. A. 2015.
link   bibtex  
Momentum optimization for iterative shrinkage algorithms in parallel MRI with sparsity-promoting regularization. Muckley, M. J.; Noll, D. C.; and Fessler, J. A. 2015.
link   bibtex  
A min-max CRLB optimization approach to scan selection for relaxometry. Nataraj, G.; Nielsen, J.; and Fessler, J. A. 2015.
link   bibtex  
Steady-state imaging with 3D inner volume excitation. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. 2015.
link   bibtex  
A spectral-spatial pulse for improved inhomogeneity signal loss in the small-tip fast recovery (STFR) sequence. Williams, S. N.; Sun, H.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2015.
link   bibtex  
Optimized gradient methods for smooth convex minimization. Kim, D.; and Fessler, J. A. 2015.
link   bibtex  
Accelerated statistical image reconstruction for X-ray CT. Fessler, J. A. 2015. Invited talk.
Accelerated statistical image reconstruction for X-ray CT [link]Paper   link   bibtex  
Investigation of a pelvic bone shape model in support of bone classification for synthetic CT generation. Liu, L.; Cao, Y.; Fessler, J. A.; and Balter, J. M. 2015.
Investigation of a pelvic bone shape model in support of bone classification for synthetic CT generation [link]Paper   link   bibtex  
Automated bone segmentation to support synthetic CT in the pelvis. Liu, L.; Balter, J.; Cao, Y.; Jolly, S.; and Fessler, J. A. 2015.
link   bibtex  
Bremsstrahlung SPECT/CT with Monte Carlo scatter estimation vs Y-90 PET/CT with TOF: comparison of quantitative accuracy for dosimetry applications. Dewaraja, Y.; Novelli, P.; Fessler, J. A.; Feng, M.; Nelson, R.; Rothley, J.; Ljungberg, M.; Roberson, P.; and Wilderman, S. 2015.
doi   link   bibtex  
Improving fMRI scans using low rank modeling. Muckley, M. J.; Peltier, S. J.; Noll, D. C.; and Fessler, J. A. 2015.
link   bibtex  
RF pulse design for MRI with direct constraint on peak pulse amplitude. Williams, S.; Noll, D. C.; and Fessler, J. A. 2015.
link   bibtex  
  2014 (20)
Development and testing of 4D MRI for measuring regional lung mechanics with high spatiotemporal resolution. Minard, K. R.; Colby, S. M.; Einstein, D. R.; Corley, R. A.; and Fessler, J. A. 2014.
doi   link   bibtex  
Accelerating model-based X-ray CT image reconstruction using variable-splitting methods with ordered subsets. Nien, H.; and Fessler, J. A. 2014. Invited talk.
link   bibtex  
Dynamic MRI reconstruction using low-rank plus sparse model with optimal rank regularized eigen-shrinkage. Moore, B. E.; Nadakuditi, R. R.; and Fessler, J. A. 2014.
Dynamic MRI reconstruction using low-rank plus sparse model with optimal rank regularized eigen-shrinkage [pdf]Paper   link   bibtex  
Accelerating SENSE-type MR image reconstruction algorithms with incremental gradients. Muckley, M.; Noll, D. C.; and Fessler, J. A. 2014.
Accelerating SENSE-type MR image reconstruction algorithms with incremental gradients [link]Paper   link   bibtex  
Regularized, joint estimation of T1 and M0 maps. Nataraj, G.; Nielsen, J.; and Fessler, J. A. 2014.
Regularized, joint estimation of T1 and M0 maps [link]Paper   link   bibtex  
Steady-state functional MRI using spoiled small-tip fast recovery (STFR) imaging. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. 2014.
Steady-state functional MRI using spoiled small-tip fast recovery (STFR) imaging [link]Paper   link   bibtex  
Joint design of continuous excitation k-space trajectory and RF pulse for 3D tailored excitation. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. 2014.
Joint design of continuous excitation k-space trajectory and RF pulse for 3D tailored excitation [link]Paper   link   bibtex  
Small-tip fast recovery (STFR) imaging using spectrally tailored pulse. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. 2014.
Small-tip fast recovery (STFR) imaging using spectrally tailored pulse [link]Paper   link   bibtex  
Fast non-Cartesian L1-SPIRiT with field inhomogeneity correction. Weller, D. S.; and Fessler, J. A. 2014.
Fast non-Cartesian L1-SPIRiT with field inhomogeneity correction [link]Paper   link   bibtex  
Simultaneous fat saturation and magnetization transfer preparation with steady-state incoherent sequences. Zhao, F.; Fessler, J. A.; Nielsen, J.; and Noll, D. C. 2014.
Simultaneous fat saturation and magnetization transfer preparation with steady-state incoherent sequences [link]Paper   link   bibtex  
Four-dimensional spectral-spatial fat saturation pulse design at 3T. Zhao, F.; Fessler, J. A.; and Noll, D. C. 2014.
Four-dimensional spectral-spatial fat saturation pulse design at 3T [link]Paper   link   bibtex  
Image reconstruction for low-dose X-ray CT. Fessler, J. A. 2014. Invited talk.
link   bibtex  
Optimized momentum steps for accelerating low-dose X-ray CT image reconstruction. Kim, D.; and Fessler, J. A. 2014.
link   bibtex  
Optimization and application of non-local means (NLM) filtering of SPECT/CT. Zheng, J.; Chun, S. Y.; Fessler, J. A.; and Dewaraja, Y. J. Nuc. Med. (Abs. Book), 55(s1): 542. May 2014.
Optimization and application of non-local means (NLM) filtering of SPECT/CT [link]Paper   link   bibtex  
Localized temporal subspace modeling for dynamic contrast enhanced liver MRI. Le, M.; and Fessler, J. A. 2014.
link   bibtex  
A joint classification and bias field estimation algorithm for synthetic CT generation. Liu, L.; Hsu, S.; Balter, J.; Cao, Y.; and Fessler, J. A. 2014.
link   bibtex  
Fast model-based X-ray CT reconstruction on the GPU. McGaffin, M. G.; and Fessler, J. A. 2014.
link   bibtex  
Improved robust PCA using low-rank denoising with optimal singular value shrinkage. Moore, B. E.; Nadakuditi, R. R.; and Fessler, J. A. 2014.
link   bibtex  
BARISTA: A fast algorithm for MR image reconstruction with sparsity-promoting regularization. Muckley, M. J.; Noll, D. C.; and Fessler, J. A. 2014.
link   bibtex  
Imaging fleeting thoughts. Muckley, M. J.; Gilbert, A.; Fessler, J. A.; and Noll, D. C. 2014.
link   bibtex  
  2013 (14)
An efficient variable splitting based algorithm for regularized SENSE reconstruction with support constraint. Le, M.; Ramani, S.; and Fessler, J. A. 2013.
An efficient variable splitting based algorithm for regularized SENSE reconstruction with support constraint [link]Paper   link   bibtex  
Model-based reconstruction for physiological noise correction in functional MRI. Muckley, M. J.; Peltier, S. J.; Noll, D. C.; and Fessler, J. A. 2013.
Model-based reconstruction for physiological noise correction in functional MRI [link]Paper   link   bibtex  
Steady-state functional MRI using small-tip fast recovery (STFR) imaging. Nielsen, J.; Sun, H.; Fessler, J. A.; and Noll, D. C. 2013.
Steady-state functional MRI using small-tip fast recovery (STFR) imaging [link]Paper   link   bibtex  
Strategies for improved small-tip fast recovery (STFR) imaging. Sun, H.; Fessler, J. A.; Noll, D. C.; and Nielsen, J. 2013.
Strategies for improved small-tip fast recovery (STFR) imaging [link]Paper   link   bibtex  
Automatic L1-SPIRiT regularization parameter selection using Monte-Carlo SURE estimation. Weller, D. S.; Ramani, S.; Nielsen, J.; and Fessler, J. A. 2013.
Automatic L1-SPIRiT regularization parameter selection using Monte-Carlo SURE estimation [link]Paper   link   bibtex  
Simultaneous fat saturation and magnetization transfer preparation with 2D small-tip fast recovery imaging. Zhao, F.; Swanson, S. D.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2013.
Simultaneous fat saturation and magnetization transfer preparation with 2D small-tip fast recovery imaging [link]Paper   link   bibtex  
Balanced SSFP-like imaging with simultaneous water-fat separation and band reduction using small-tip fast recovery. Zhao, F.; Sun, H.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2013.
Balanced SSFP-like imaging with simultaneous water-fat separation and band reduction using small-tip fast recovery [link]Paper   link   bibtex  
Group sparsity reconstruction for physiological noise correction in functional MRI. Muckley, M. J.; Peltier, S. J.; Fessler, J. A.; and Noll, D. C. 2013.
link   bibtex  
Improving isotropy and uniformity of spatial resolution and noise characteristics for low-dose 3D axial X-ray CT. Cho, J. H.; and Fessler, J. A. 2013.
link   bibtex  
Fast ordered subsets optimization algorithms using momentum for statistical X-ray CT image reconstruction. Kim, D.; Ramani, S.; and Fessler, J. A. 2013.
link   bibtex  
Regularized image reconstruction for parallel MRI using ADMM. Le, M.; Ramani, S.; and Fessler, J. A. 2013.
link   bibtex  
Sparse positive-definite FIR filter design with Schatten p-norm optimality. McGaffin, M. G.; and Fessler, J. A. 2013.
link   bibtex  
Rapid prediction of image noise variance for 3DCT with arbitrary trajectories. Schmitt, S. M.; and Fessler, J. A. 2013.
link   bibtex  
Imaging fleeting thoughts. Muckley, M. J.; Gilbert, A. C.; Fessler, J. A.; and Noll, D. C. 2013.
link   bibtex  
  2012 (15)
Accelerated computation of regularized field map estimates. Allison, M. J.; and Fessler, J. A. 2012.
Accelerated computation of regularized field map estimates [link]Paper   link   bibtex  
Automatic regularization parameter selection for iterative nonlinear MRI reconstruction. Ramani, S.; Nielsen, J.; and Fessler, J. A. 2012.
Automatic regularization parameter selection for iterative nonlinear MRI reconstruction [link]Paper   link   bibtex  
Analytic description of steady-state imaging with dual RF pulses and gradient spoiling. Sun, H.; Fessler, J. A.; and Nielsen, J. F. 2012.
Analytic description of steady-state imaging with dual RF pulses and gradient spoiling [link]Paper   link   bibtex  
Regularized estimation of magnitude and phase of multiple-coil B1 field via Bloch-Siegert B1 mapping. Zhao, F.; Fessler, J. A.; Nielsen, J.; Yoon, D.; and Noll, D. C. 2012.
Regularized estimation of magnitude and phase of multiple-coil B1 field via Bloch-Siegert B1 mapping [link]Paper   link   bibtex  
Correction for collimator-detector response (CDR) in quantitative SPECT using point spread function (PSF) template approach. Chun, S. Y.; Fessler, J. A.; and Dewaraja, Y. K. J. Nuc. Med. (Abs. Book), 53(s1): 2365. May 2012.
Correction for collimator-detector response (CDR) in quantitative SPECT using point spread function (PSF) template approach [link]Paper   link   bibtex  
Quantitative Bremsstrahlung SPECT/CT image reconstruction with patient specific Monte Carlo scatter compensation for Y90 microsphere radioembolization (RE). Dewaraja, Y.; Roberson, P.; Clinthorne, N.; Chun, S. Y.; Hubers, D.; Regan, D.; Ackermann, R.; Fessler, J. A.; and Ljungberg, M. J. Nuc. Med. (Abs. Book), 53(s1): 444. May 2012.
Quantitative Bremsstrahlung SPECT/CT image reconstruction with patient specific Monte Carlo scatter compensation for Y90 microsphere radioembolization (RE) [link]Paper   link   bibtex  
Limits of dose reduction in CT: Statistical reconstruction methods. Fessler, J. A. 2012.
Limits of dose reduction in CT: Statistical reconstruction methods [link]Paper   link   bibtex  
Assessment of image quality in the new CT: Statistical reconstruction methods. Fessler, J. A. 2012.
Assessment of image quality in the new CT: Statistical reconstruction methods [link]Paper   link   bibtex  
Alternating direction method of multipliers algorithms for MR coil sensitivity estimation. Allison, M. J.; Ramani, S.; and Fessler, J. A. 2012.
link   bibtex  
Accelerating multi-frame image reconstruction with variable-splitting approach. Cho, J. H.; Ramani, S.; and Fessler, J. A. 2012.
link   bibtex  
Robust super resolution using a variable splitting method. Chu, A.; Le, M.; Muckley, M.; Zhao, F.; and Fessler, J. A. 2012.
link   bibtex  
Spatially adaptive majorization method for X-ray CT image reconstruction. Kim, D.; and Fessler, J. A. 2012.
link   bibtex  
Parallel architecture for forward- and back-projection in X-ray Computed Tomography. Kim, J. K.; Fessler, J. A.; and Zhang, Z. 2012.
link   bibtex  
Reducing physiological noise in functional MRI by model-based reconstruction. Muckley, M. J.; Fessler, J. A.; and Noll, D. C. 2012.
link   bibtex  
A parameter-free augmented Lagrangian method for edge-preserving image restoration. Nien, H.; and Fessler, J. A. 2012.
link   bibtex  
  2011 (15)
An augmented Lagrangian method for MR coil sensitivity estimation. Allison, M. J.; and Fessler, J. A. 2011.
An augmented Lagrangian method for MR coil sensitivity estimation [link]Paper   link   bibtex  
An augmented Lagrangian method for regularized MRI reconstruction using SENSE. Ramani, S.; and Fessler, J. A. 2011.
An augmented Lagrangian method for regularized MRI reconstruction using SENSE [link]Paper   link   bibtex  
A fast parallel excitation pulse design for efficient selection and ordering of PE locations with B0 field inhomogeneity. Yoon, D.; Fessler, J. A.; Gilbert, A. C.; and Noll, D. G. 2011.
A fast parallel excitation pulse design for efficient selection and ordering of PE locations with B0 field inhomogeneity [link]Paper   link   bibtex  
Separate magnitude and phase regularization via compressed sensing. Zhao, F.; Fessler, J. A.; Nielsen, J.; and Noll, D. C. 2011.
Separate magnitude and phase regularization via compressed sensing [link]Paper   link   bibtex  
Influence of septal penetration and scatter on 123I SPECT detector response modeling. Moody, J. B.; Dewaraja, Y. K.; Fessler, J. A.; and Ficaro, E. P. J. Nuc. Med. (Abs. Book), 52(s1): 2012. May 2011.
Influence of septal penetration and scatter on 123I SPECT detector response modeling [link]Paper   link   bibtex  
An open platform for 2D-3D image registration experiments. Balter, J. M.; Long, Y.; Folkerts, M. M.; Sharp, G. C.; Bortfeld, T. R.; and Fessler, J. A. 2011.
doi   link   bibtex  
Iterative image reconstruction for CT. Fessler, J. A. 2011. Invited educational course TU-A-211-01.
doi   link   bibtex   1 download  
Two-material decomposition from a single CT scan using statistical image reconstruction. Long, Y.; Fessler, J. A.; and Balter, J. M. 2011.
doi   link   bibtex  
Point-source detection with 3D-position-sensitive detectors. Lingenfelter, D. J.; Wahl, C. G.; Fessler, J. A.; Scott, C. D.; and He, Z. 2011.
link   bibtex  
Accelerating X-ray CT image reconstruction using ordered-subsets with double surrogates. Cho, J. H.; and Fessler, J. A. 2011.
link   bibtex  
New optimization transfer methods for accelerated X-ray CT image reconstruction. Kim, D.; and Fessler, J. A. 2011.
link   bibtex  
Source detection performance prediction for a CdZnTe array. Lingenfelter, D. J.; Fessler, J. A.; Scott, C. D.; and He, Z. 2011.
link   bibtex  
Image restoration using non-circulant shift-invariant system models. Matakos, A.; Ramani, S.; and Fessler, J. A. 2011.
link   bibtex  
Fast variance prediction for 3D axial CT with quadratic regularization. Schmitt, S.; and Fessler, J. A. 2011.
link   bibtex  
Temporal regularization use in image reconstruction of dynamic contrast-enhanced magnetic resonance images. Khalsa, K. A.; and Fessler, J. A. 2011.
link   bibtex  
  2010 (9)
Non-convex greedy compressed sensing for phase contrast MRI. Yoon, D.; Fessler, J. A.; Nielsen, J.; Gilbert, A.; and Noll, D. 2010.
Non-convex greedy compressed sensing for phase contrast MRI [link]Paper   link   bibtex  
Selection of image support region and of an improved regularization for non-Cartesian SENSE. Kim, Y.; Fessler, J. A.; and Noll, D. 2010.
Selection of image support region and of an improved regularization for non-Cartesian SENSE [link]Paper   link   bibtex  
Model-based THz imaging for 2D reflection-mode geometry. Musheinesh, M. A.; Divin, C. J.; Fessler, J. A.; and Norris, T. B. 2010.
Model-based THz imaging for 2D reflection-mode geometry [link]Paper   link   bibtex  
A 4-D maximum a posteriori (MAP) reconstruction method for improved dose volume histogram estimation. Cheng, L.; He, X.; Fessler, J. A.; and Frey, E. C. J. Nuc. Med. (Abs. Book), 51(s2): 244. 2010.
A 4-D maximum a posteriori (MAP) reconstruction method for improved dose volume histogram estimation [link]Paper   link   bibtex  
Asymptotic performance of the GLRT and source intensity test for detecting a gamma-ray point-source in background. Lingenfelter, D. J.; Fessler, J. A.; Scott, C.; and He, Z. 2010.
link   bibtex  
Accuracy limits for projection-to-volume targeting during arc therapy. Long, Y.; Fessler, J. A.; and Balter, J. M. 2010.
doi   link   bibtex  
FPGA implementation of forward-projection for X-ray CT using separable footprints. Kim, J. K.; Fessler, J. A.; and Zhang, Z. 2010.
link   bibtex  
Predicting detection performance under model mismatch with application to gamma-ray imaging. Lingenfelter, D. J.; Fessler, J. A.; Scott, C. D.; and He, Z. 2010.
link   bibtex  
Dynamic MR image and field map joint reconstruction accounting for through-plane field map gradients. Matakos, A.; and Fessler, J. A. 2010.
link   bibtex  
  2009 (14)
Estimating K transmit B1+ maps from K+1 scans for parallel transmit MRI. Funai, A. K.; Fessler, J. A.; and Noll, D. C. 2009.
Estimating K transmit B1+ maps from K+1 scans for parallel transmit MRI [link]Paper   link   bibtex  
Water-fat decomposition with MR data based regularized estimation in MRI. Huh, W.; and Fessler, J. A. 2009.
Water-fat decomposition with MR data based regularized estimation in MRI [link]Paper   link   bibtex  
Fast and motion robust R2* reconstruction for functional MRI. Olafsson, V.; Fessler, J. A.; and Noll, D. C. 2009.
Fast and motion robust R2* reconstruction for functional MRI [link]Paper   link   bibtex  
Motion induced magnetic susceptibility and field map estimation in fMRI. Yeo, D.; Fessler, J. A.; and Kim, B. 2009.
Motion induced magnetic susceptibility and field map estimation in fMRI [link]Paper   link   bibtex  
Spectral-spatial pulse design for through-plane phase precompensatory slice selection in T2*-weighted functional MRI. Yip, C.; Yoon, D.; Olafsson, V.; Lee, S.; Grissom, W. A.; Fessler, J. A.; and Noll, D. C. 2009.
Spectral-spatial pulse design for through-plane phase precompensatory slice selection in T2*-weighted functional MRI [link]Paper   link   bibtex  
Fast selection of phase encoding locations in parallel excitation. Yoon, D.; Maleh, R.; Gilbert, A. C.; Fessler, J. A.; and Noll, D. C. 2009.
Fast selection of phase encoding locations in parallel excitation [link]Paper   link   bibtex  
Sparsity in MRI parallel excitation. Yoon, D.; Maleh, R.; Gilbert, A. C.; Fessler, J. A.; and Noll, D. C. 2009. Invited presentation for "Sparsity-driven medical imaging" symposium.
Sparsity in MRI parallel excitation [link]Paper   link   bibtex  
Performance analysis of position-sensitive imaging systems. Lingenfelter, D. J.; Fessler, J. A.; Scott, C.; Wahl, C.; and He, Z. 2009.
link   bibtex  
Time-reversal and model-based imaging in a THz waveguide. Musheinesh, M. A.; Divin, C. J.; Fessler, J. A.; and Norris, T. B. 2009.
Time-reversal and model-based imaging in a THz waveguide [link]Paper   link   bibtex   1 download  
Simultaneous signal loss correction from B1 and B0 field inhomogeneity in BOLD fMRI with parallel excitation. Yoon, D.; Fessler, J. A.; Gilbert, A. C.; and Noll, D. C. 2009.
link   bibtex  
Model-based image reconstruction for dual-energy X-ray CT. Huh, W.; and Fessler, J. A. 2009.
link   bibtex  
Benefits of imaging detectors for radiation source detection. Lingenfelter, D. J.; Fessler, J. A.; Scott, C. D.; and He, Z. 2009.
link   bibtex  
Real-time profiling of respiratory motion and its application to continuous horizon prediction. Ruan, D.; Fessler, J. A.; Balter, J. M.; and Keall, P. J. 2009.
doi   link   bibtex  
Simultaneous signal loss correction from B1 and B0 field inhomogeneity in BOLD fMRI. Yoon, D.; Fessler, J. A.; Gilbert, A. C.; and Noll, D. C. 2009.
link   bibtex  
  2008 (13)
Regularized B1+ map estimation with slice selection effects. Funai, A. K.; Fessler, J. A.; Grissom, W.; and Noll, D. C. 2008.
Regularized B1+ map estimation with slice selection effects [link]Paper   link   bibtex  
Transmit-PILS RF pulse design for small-tip-angle parallel excitation. Grissom, W. A.; Fessler, J. A.; and Noll, D. C. 2008.
Transmit-PILS RF pulse design for small-tip-angle parallel excitation [link]Paper   link   bibtex  
Fast optimal control method for large-tip-angle RF pulse design in parallel excitation. Grissom, W. A.; Xu, D.; Fessler, J. A.; and Noll, D. C. 2008.
Fast optimal control method for large-tip-angle RF pulse design in parallel excitation [link]Paper   link   bibtex  
Water-fat decomposition with regularized field map. Huh, W.; Fessler, J. A.; and Samsonov, A. A. 2008.
Water-fat decomposition with regularized field map [link]Paper   link   bibtex  
Smoothing effect of sensitivity map on fMRI data using a novel regularized self-calibrated estimation method. Kim, Y.; Fessler, J. A.; and Noll, D. C. 2008.
Smoothing effect of sensitivity map on fMRI data using a novel regularized self-calibrated estimation method [link]Paper   link   bibtex  
Spectral-spatial pulse design for signal recovery in T2*-weighted BOLD functional MRI. Yip, C.; Lee, S.; Grissom, W.; Fessler, J. A.; and Noll, D. C. 2008.
Spectral-spatial pulse design for signal recovery in T2*-weighted BOLD functional MRI [link]Paper   link   bibtex  
Toeplitz-based acceleration of RF pulse design for parallel excitation. Yoon, D.; Grissom, W. A.; Fessler, J. A.; and Noll, D. C. 2008.
Toeplitz-based acceleration of RF pulse design for parallel excitation [link]Paper   link   bibtex  
Regularized reconstruction algorithms for dual-isotope myocardial perfusion SPECT (MPS) imaging using a cross-tracer edge-preserving prior. He, X.; Fessler, J. A.; and Frey, E. C. J. Nuc. Med. (Abs. Book), 49(s1): 152. 2008.
Regularized reconstruction algorithms for dual-isotope myocardial perfusion SPECT (MPS) imaging using a cross-tracer edge-preserving prior [link]Paper   link   bibtex  
Energy-imaging integrated deconvolution with 3D semiconductor gamma-ray detectors. Wang, W.; He, Z.; and Fessler, J. A. 2008.
link   bibtex  
Mathematical challenges in magnetic resonance imaging (MRI). Fessler, J. A. 2008. Invited plenary talk.
Mathematical challenges in magnetic resonance imaging (MRI) [pdf]Paper   link   bibtex  
The dynamic model in radiation oncology: sparse sampling, surrogates, and complexity in maintaining sufficient precision. Balter, J.; and Fessler, J. A. 2008. Invited presentation.
link   bibtex  
Model-based image reconstruction in MRI. Fessler, J. A. 2008. Invited presentation.
link   bibtex  
Image reconstruction using incomplete data with a spatial sparsity constraint. Lingenfelter, D. J.; Fessler, J. A.; He, Z.; and Wahl, C. G. 2008.
link   bibtex  
  2007 (14)
Iterative image reconstruction methods for non-cartesian MRI. Fessler, J. A.; and Noll, D. C. 2007. Invited presentation.
Iterative image reconstruction methods for non-cartesian MRI [pdf]Paper   link   bibtex  
Time-segmented spin domain method for fast large-tip-angle RF pulse design in parallel excitation. Grissom, W. A.; Fessler, J. A.; and Noll, D. C. 2007.
Time-segmented spin domain method for fast large-tip-angle RF pulse design in parallel excitation [link]Paper   link   bibtex  
Additive-angle method for fast large-tip-angle RF pulse design in parallel excitation. Grissom, W. A.; Yip, C.; Wright, S. M.; Fessler, J. A.; and Noll, D. C. 2007.
Additive-angle method for fast large-tip-angle RF pulse design in parallel excitation [link]Paper   link   bibtex  
Parallel excitation on a 3T human MRI scanner using current source amplifiers and iterative RF pulse design. Grissom, W. A.; Kurpad, K. N.; Nam, H.; Fessler, J. A.; Wright, S. M.; and Noll, D. C. 2007.
Parallel excitation on a 3T human MRI scanner using current source amplifiers and iterative RF pulse design [link]Paper   link   bibtex  
Accelerated iterative reconstruction of temporally regularized dynamic MRI. Khalsa, K. A.; and Fessler, J. A. 2007.
Accelerated iterative reconstruction of temporally regularized dynamic MRI [link]Paper   link   bibtex  
Iterative reconstruction for SMART imaging. Lee, S.; Fessler, J. A.; and Noll, D. C. 2007.
Iterative reconstruction for SMART imaging [link]Paper   link   bibtex  
Reducing effects of drift in fMRI data using joint reconstruction of R2* and field maps. Olafsson, V.; Ulfarsson, M.; Fessler, J. A.; and Noll, D. C. 2007.
Reducing effects of drift in fMRI data using joint reconstruction of R2* and field maps [link]Paper   link   bibtex  
Joint design of trajectory and RF pulses for parallel excitation. Yip, C.; Grissom, W.; Fessler, J. A.; and Noll, D. C. 2007.
Joint design of trajectory and RF pulses for parallel excitation [link]Paper   link   bibtex  
Signal separation in dual-tracer brain PET imaging using reference region models. Joshi, A.; Fessler, J. A.; and Koeppe, R. J. Nuc. Med. (Abs. Book), 48(s2): 156. 2007.
Signal separation in dual-tracer brain PET imaging using reference region models [link]Paper   link   bibtex  
4D PET temporal smoothing with respiratory induced Fourier filter (RIFF). Kohlmyer, S.; Alessio, A.; Kinahan, P.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 48(s2): 197. 2007.
4D PET temporal smoothing with respiratory induced Fourier filter (RIFF) [link]Paper   link   bibtex  
Fine-structure modeling of the psrf of a parallel-hole collimator yields improved recovery of activity within focal volumes. Li, J.; Fessler, J. A.; and Koral, K. F. J. Nuc. Med. (Abs. Book), 48(s2): 99. 2007.
Fine-structure modeling of the psrf of a parallel-hole collimator yields improved recovery of activity within focal volumes [link]Paper   link   bibtex  
Objective characterization, estimation and prediction for modeling breathing-related movement. Ruan, D.; Fessler, J. A.; and Balter, J. M. 2007.
doi   link   bibtex  
Classification of CT lung nodules by a computer aided diagnosis (CAD) system with texture and gradient field features. Way, T.; Chan, H.; and Fessler, J. A. 2007.
Classification of CT lung nodules by a computer aided diagnosis (CAD) system with texture and gradient field features [link]Paper   link   bibtex  
Iterative sorting for 4D CT images based on internal anatomic motion. Zeng, R.; Balter, J. M.; and Fessler, J. A. 2007.
doi   link   bibtex  
  2006 (13)
Interventional studies for validation of non-invasive dual-tracer PET. Koeppe, R. A.; Joshi, A.; and Fessler, J. A. 2006. In NeuroImage, 31:S2-T60, 2006
doi   link   bibtex  
Multi-shot DWI with iterative phase and field inhomogeneity corrections. Donald, B. M.; Welsh, R. C.; Fessler, J. A.; and Noll, D. C. 2006.
Multi-shot DWI with iterative phase and field inhomogeneity corrections [link]Paper   link   bibtex  
A spatial domain method for the design of RF pulses in multi-coil parallel excitation. Grissom, W. A.; Yip, C.; Zhang, Z.; Stenger, V.; Fessler, J. A.; and Noll, D. C. 2006.
A spatial domain method for the design of RF pulses in multi-coil parallel excitation [link]Paper   link   bibtex  
A dynamic R2*-and-field-map-corrected imaging for single shot rosette trajectories. Lee, S.; Fessler, J. A.; and Noll, D. C. 2006.
A dynamic R2*-and-field-map-corrected imaging for single shot rosette trajectories [link]Paper   link   bibtex  
Dynamic updates of R2* and field map in fMRI using a spiral-in quick-spiral-out k-space trajectory. Olafsson, V.; Fessler, J. A.; and Noll, D. C. 2006.
Dynamic updates of R2* and field map in fMRI using a spiral-in quick-spiral-out k-space trajectory [link]Paper   link   bibtex  
Fast Toeplitz based iterative SENSE reconstruction. Olafsson, V.; Lee, S.; Fessler, J. A.; and Noll, D. C. 2006.
Fast Toeplitz based iterative SENSE reconstruction [link]Paper   link   bibtex  
Concurrent geometric distortion correction in mapping slice-to-volume (MSV) motion correction of fMRI time series. Yeo, D.; Fessler, J. A.; and Kim, B. 2006.
Concurrent geometric distortion correction in mapping slice-to-volume (MSV) motion correction of fMRI time series [link]Paper   link   bibtex  
A robust field-map estimation method using dual-echo GRE with bipolar readout gradient structure. Yeo, D.; Chenevert, T. L.; Fessler, J. A.; and Kim, B. 2006.
A robust field-map estimation method using dual-echo GRE with bipolar readout gradient structure [link]Paper   link   bibtex  
Advanced three-dimensional tailored RF pulse for signal loss recovery in T2*-weighted fMRI. Yip, C.; Fessler, J. A.; and Noll, D. C. 2006.
Advanced three-dimensional tailored RF pulse for signal loss recovery in T2*-weighted fMRI [link]Paper   link   bibtex  
Iterative spectral-spatial pulse design: toward full use of design freedom. Yip, C.; Lee, S.; Fessler, J. A.; and Noll, D. C. 2006.
Iterative spectral-spatial pulse design: toward full use of design freedom [link]Paper   link   bibtex  
Anatomical information based partial volume compensation for I-131 SPECT imaging in radioimmunotherapy. Dewaraja, Y. K.; Ljungberg, M.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 47(s1): 115. 2006.
Anatomical information based partial volume compensation for I-131 SPECT imaging in radioimmunotherapy [link]Paper   link   bibtex  
Reducing inter-scanner PET image variability. Joshi, A.; Fessler, J. A.; and Koeppe, R. A. J. Nuc. Med. (Abs. Book), 47(s1): 58. 2006.
Reducing inter-scanner PET image variability [link]Paper   link   bibtex  
Optimizing the number of equivalent iterations of 3D OSEM in SPECT reconstruction of I-131 focal activities. Koral, K. F.; Kritzman, J. N.; Rogers, V. E.; Ackermann, R. J.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 47(s1): 366. 2006.
Optimizing the number of equivalent iterations of 3D OSEM in SPECT reconstruction of I-131 focal activities [link]Paper   link   bibtex  
  2005 (12)
Interleaved spiral-in/spiral-out 3D-FSE reconstruction using a fast field corrected iterative algorithm. Olafsson, V.; Lee, G. R.; Fessler, J. A.; and Noll, D. C. 2005.
Interleaved spiral-in/spiral-out 3D-FSE reconstruction using a fast field corrected iterative algorithm [pdf]Paper   link   bibtex  
A novel, fast and adaptive trajectory in three-dimensional excitation k-space. Yip, C.; Fessler, J. A.; and Noll, D. C. 2005.
A novel, fast and adaptive trajectory in three-dimensional excitation k-space [pdf]Paper   link   bibtex  
Linear models for reduction of bias in DVR estimates obtained from reference region-based graphical analysis. Joshi, A.; Fessler, J. A.; and Koeppe, R. A. J. Nuc. Med. (Abs. Book), 46(5): 435p. May 2005.
link   bibtex  
A simple dual energy method for CT-based attenuation correction that accounts for contrast agents in in PET/CT imaging. Kinahan, P. E.; Alessio, A. M.; Fessler, J. A.; Lewellen, T. K.; and Vesselle, H. J. J. Nuc. Med. (Abs. Book), 46(5): 113p. May 2005.
link   bibtex  
Analysis of periodicity and complexity of breathing patterns for radiotherapy. Ruan, D.; Fessler, J. A.; Balter, J. M.; Wolthaus, J.; and Sonke, J. 2005. Abstract in Med. Phys 32(6) 2005.
doi   link   bibtex  
3D respiratory motion estimation from slowly rotating 2D X-ray projection views. Zeng, R.; Fessler, J. A.; and Balter, J. M. 2005. Abstract in Med. Phys 32(6) 2005.
doi   link   bibtex  
Iterative reconstruction in X-ray CT: a study of different minimization approaches. De Man, B.; Basu, S.; Thibault, J.; and Fessler, J. A. 2005.
link   bibtex  
Detection of events in electrocorticogram using a quadratic detector based on a two covariance model. Chun, S. Y.; Huggins, J. E.; Fessler, J. A.; Solo, V.; and Levine, S. P. 2005.
Detection of events in electrocorticogram using a quadratic detector based on a two covariance model [pdf]Paper   link   bibtex  
University of Michigan direct brain interface: 2005 update. Huggins, J. E.; Levine, S. P.; Solo, V.; Fessler, J. A.; Minecan, D. M.; Chun, S. Y.; Kushwaha, R. K.; BeMent, S. L.; Sagher, O.; Schuh, L. A.; Smith, B. J.; Elisevich, K. V.; Pfurtscheller, G.; and Graimann, B. 2005.
University of Michigan direct brain interface: 2005 update [pdf]Paper   link   bibtex  
2005 progress on a direct brain interface based on detection of ERPs in ECoG. Huggins, J. E.; Levine, S. P.; Solo, V.; Fessler, J. A.; Minecan, D. M.; Chun, S. Y.; Welsh, R. C.; Kushwaha, R. K.; and BeMent, S. L. 2005.
2005 progress on a direct brain interface based on detection of ERPs in ECoG [link]Paper   link   bibtex  
Iterative reconstruction for dynamic MRI. Khalsa, K. A.; and Fessler, J. A. 2005.
link   bibtex  
Non-rigid registration using regularization that accommodates local tissue rigidity. Ruan, D.; Balter, J.; Roberson, M.; Fessler, J. A.; and Kessler, M. 2005.
link   bibtex  
  2004 (13)
Nonrigid image registration using constrained optimization. Kim, J.; and Fessler, J. A. 2004.
link   bibtex  
EXTended Rosette ACquisition Technique (EXTRACT): a dynamic R2* mapping method using extended rosette trajectory. Lee, S.; Noll, D.; and Fessler, J. A. 2004.
EXTended Rosette ACquisition Technique (EXTRACT): a dynamic R2* mapping method using extended rosette trajectory [pdf]Paper   link   bibtex  
Dynamic update of R2* and field map in fMRI. Olafsson, V.; Fessler, J. A.; and Noll, D. C. 2004.
Dynamic update of R2* and field map in fMRI [pdf]Paper   link   bibtex  
Reversed spiral SENSE for fMRI. Stenger, V. A.; Sutton, B. P.; Boada, F. E.; Fessler, J. A.; and Noll, D. C. 2004.
Reversed spiral SENSE for fMRI [pdf]Paper   link   bibtex  
Compensating for within-voxel susceptibility gradients in BOLD fMRI. Sutton, B. P.; Noll, D. C.; and Fessler, J. A. 2004.
Compensating for within-voxel susceptibility gradients in BOLD fMRI [pdf]Paper   link   bibtex  
A constrained minimization approach to designing multi-dimensional, spatially selective RF pulses. Yip, C.; Fessler, J. A.; and Noll, D. C. 2004.
A constrained minimization approach to designing multi-dimensional, spatially selective RF pulses [pdf]Paper   link   bibtex  
Penalized likelihood reconstruction for dual-planar cone-beam transmission imaging. Feng, B.; Fessler, J. A.; Boening, G.; and King, M. A. J. Nuc. Med. (Abs. Book), 45(5): 104. May 2004.
link   bibtex  
Impact on cardiac reconstruction of using attenuation maps reconstructed with less than complete rotation acquired by asymmetric cone-beam transmission imaging. Feng, B.; Pretorius, H.; Bruyant, P. P.; Boening, G.; Beach, R. D.; Fessler, J. A.; and King, M. A. J. Nuc. Med. (Abs. Book), 45(5): 158. May 2004.
link   bibtex  
Deformable image registration using multiresolution B-splines. Kessler, M.; Roberson, M.; Zeng, R.; and Fessler, J. A. 2004. Abstract in Med. Phys 31(6):1792, 2004.
doi   link   bibtex  
Incorporating outline of emission image in penalized likelihood reconstruction with transmission data acquired with less than complete gantry rotation. Feng, B.; Pretorius, P. H.; Bruyant, P. P.; Boening, G.; Beach, R. D.; Gifford, H. C.; Fessler, J. A.; and King, M. A. 2004.
link   bibtex  
Dual-energy CT for quantitative attenuation correction in PET/CT imaging. Kinahan, P.; Alessio, A.; Fessler, J. A.; Cheng, P. M.; Vesselle, H. J.; and Lewellen, T. K. 2004.
Dual-energy CT for quantitative attenuation correction in PET/CT imaging [link]Paper   link   bibtex  
Classification of pulmonary nodules using automated 3d segmentation and feature classification for computer-aided diagnosis on CT scans. Way, T. W.; Hadjiiski, L. M.; Sahiner, B.; Chan, H.; Cascade, P. N.; Bogot, N. R.; Kazerooni, E. A.; Fessler, J. A.; and Ge, Z. 2004.
Classification of pulmonary nodules using automated 3d segmentation and feature classification for computer-aided diagnosis on CT scans [link]Paper   link   bibtex  
Model-based detection of event-related signals in electrocorticograms. Fessler, J. A.; Chun, S. Y.; Huggins, J. E.; and Levine, S. P. 2004.
link   bibtex  
  2003 (3)
New approach for estimating $Δ{}R_2^*$ in fMRI. Olafsson, V. T.; Noll, D. C.; and Fessler, J. A. 2003.
New approach for estimating $Δ{}R_2^*$ in fMRI [link]Paper   link   bibtex  
Dynamic field map estimation using a single spiral in / spiral out acquisition. Sutton, B. P.; Noll, D. C.; and Fessler, J. A. 2003.
Dynamic field map estimation using a single spiral in / spiral out acquisition [link]Paper   link   bibtex  
Segmentation of pulmonary nodules with 3D active contour model for computer-aided diagnosis. Way, T.; Sahiner, B.; Hadjiiski, L.; Chan, H.; Bogot, N.; Cascade, P.; Kazerooni, E.; and Fessler, J. A. 2003.
Segmentation of pulmonary nodules with 3D active contour model for computer-aided diagnosis [link]Paper   link   bibtex  
  2002 (13)
Single spin detection for MRFM. Hero, A. O.; Fessler, J. A.; and Yip, C. Y. 2002.
link   bibtex  
Tomographic image reconstruction using the nonuniform FFT. Fessler, J. A.; and Sutton, B. P. 2002.
link   bibtex  
A simultaneous estimation of field inhomogeneity and R2* maps using extended rosette trajectory. Lee, S.; Fessler, J. A.; and Noll, D. 2002.
A simultaneous estimation of field inhomogeneity and R2* maps using extended rosette trajectory [pdf]Paper   link   bibtex  
Field-corrected imaging using joint estimation of image and field map. Sutton, B. P.; Fessler, J. A.; and Noll, D. C. 2002.
Field-corrected imaging using joint estimation of image and field map [pdf]Paper   link   bibtex  
Simultaneous estimation of $I_0$, $R_2^*$, and field map using a multi-echo spiral acquisition. Sutton, B. P.; Peltier, S. J.; Fessler, J. A.; and Noll, D. C. 2002.
Simultaneous estimation of $I_0$, $R_2^*$, and field map using a multi-echo spiral acquisition [pdf]Paper   link   bibtex  
Application of unregularized OSEM with 3D detector response to I-131 SPECT with ultra-high- and high-energy collimation. Koral, K. F.; Lin, Q.; Yendiki, A.; Akhtar, A.; Dewaraja, Y. K.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 43(5): 215. May 2002.
Application of unregularized OSEM with 3D detector response to I-131 SPECT with ultra-high- and high-energy collimation [pdf]Paper   link   bibtex  
Simultaneous estimation of $I_0$, $R_2^*$, and field map using a multi-echo spiral acquisition. Peltier, S. J.; Sutton, B. P.; Fessler, J. A.; and Noll, D. C. 2002. In NeuroImage 16(2 S1):95-6, 2002.
doi   link   bibtex  
Estimation of $R_2^*$ using extended rosette acquisition. Lee, S.; Peltier, S. J.; Fessler, J. A.; and Noll, D. 2002. In NeuroImage 16(2 S1):151-2, 2002.
doi   link   bibtex  
University of Michigan direct brain interface: 2002 update. Levine, S. P.; Huggins, J. E.; Fessler, J. A.; Sowers, W. M.; Kushwaha, R. K.; BeMent, S. L.; Minecan, D. N.; Sagher, O.; Leneway, K. J.; Choi, J. J.; Grikschat, S. J.; Schuh, L. A.; Smith, B. J.; and Elisevich, K. V. 2002.
University of Michigan direct brain interface: 2002 update [pdf]Paper   link   bibtex  
Detection of event-related signals in electrocorticogram. Sowers, W. M.; Fessler, J. A.; Levine, S. P.; and Huggins, J. E. 2002.
Detection of event-related signals in electrocorticogram [pdf]Paper   link   bibtex  
The nonuniform FFT and its applications in tomographic image reconstruction. Fessler, J. A.; and Sutton, B. P. 2002.
link   bibtex  
Design and analysis of a robust image registration method. Kim, J.; and Fessler, J. A. 2002.
link   bibtex  
Computer observer detection performance from statistically reconstructed tomographic images. Yendiki, A.; and Fessler, J. A. 2002.
link   bibtex  
  2001 (8)
Effect of object shape in 131-I SPECT tumor quantification. Dewaraja, Y.; Ljungberg, M.; Fessler, J. A.; and Koral, K. F. J. Nuc. Med. (Abs. Book), 42(5): 104. May 2001.
link   bibtex  
An automatic 3D set-up error estimator for radiotherapy using mutual information. Kim, J.; Fessler, J. A.; Lam, K. L.; Balter, J. M.; and Ten Haken, R. K. 2001.
link   bibtex  
Statistical image restoration for confocal image plane holography. Sotthivirat, S.; Fessler, J. A.; Leith, E. N.; and Mills, K. D. 2001.
link   bibtex  
A min-max approach to the nonuniform N-D FFT for rapid iterative reconstruction of MR images. Sutton, B. P.; Fessler, J. A.; and Noll, D. 2001.
A min-max approach to the nonuniform N-D FFT for rapid iterative reconstruction of MR images [pdf]Paper   link   bibtex  
Iterative MR image reconstruction using sensitivity and inhomogeneity field maps. Sutton, B. P.; Fessler, J. A.; and Noll, D. 2001.
Iterative MR image reconstruction using sensitivity and inhomogeneity field maps [pdf]Paper   link   bibtex  
Simultaneous estimation of image and inhomogeneity field map. Sutton, B. P.; Noll, D.; and Fessler, J. A. 2001.
Simultaneous estimation of image and inhomogeneity field map [pdf]Paper   link   bibtex  
2001 progress on a direct brain interface based on detection of ERPs in ECoG. Levine, S. P.; Huggins, J. E.; Fessler, J. A.; Passaro, E. A.; BeMent, S. L.; Kushwaha, R. K.; Sagher, O.; Laux, S. M.; Sowers, W. M.; Carneal, J. B.; Schuh, L. A.; Smith, B. J.; Elisevich, K. V.; Pfurtscheller, G.; and Graimann, B. 2001.
2001 progress on a direct brain interface based on detection of ERPs in ECoG [pdf]Paper   link   bibtex  
Improving detection accuracy for a direct brain interface based on detection of event related potentials in electrocorticogram. Levine, S. P.; Huggins, J. E.; Fessler, J. A.; Passaro, E. A.; BeMent, S. L.; Kushwaha, R. K.; Sagher, O.; Laux, S. M.; Sowers, W. M.; Carneal, J. B.; Schuh, L. A.; Smith, B. J.; Elisevich, K. V.; Pfurtscheller, G.; and Graimann, B. 2001.
Improving detection accuracy for a direct brain interface based on detection of event related potentials in electrocorticogram [pdf]Paper   link   bibtex  
  2000 (3)
Triggerless movement specific template development for use in detecting event related potentials. Ferrise, G.; Huggins, J.; Fessler, J. A.; and Levine, S. Med. Phys., 27(6): 1402. June 2000. World Congress on Medical Physics and Biomedical Engineering
link   bibtex  
Spatio-temporal bandwidth-based segmented acquisition for dynamic 3D contrast-enhanced breast imaging. Krishnan, S.; Fessler, J. A.; and Chenevert, T. L. 2000.
Spatio-temporal bandwidth-based segmented acquisition for dynamic 3D contrast-enhanced breast imaging [pdf]Paper   link   bibtex  
The importance of the transmission reconstruction algorithm in attenuation corrected tomography: A phantom study. Ficaro, E. P.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 41(5): 192. May 2000.
link   bibtex  
  1999 (9)
Comparing estimator covariances at matched spatial resolutions for imaging system design. Fessler, J. A.; and Hero, A. O. 1999.
Comparing estimator covariances at matched spatial resolutions for imaging system design [pdf]Paper   link   bibtex  
Fast converging iterative algorithms for PET. Fessler, J. A. 1999.
link   bibtex  
Multiple line source array TCT/ECT system: A technical phantom evaluation. Ficaro, E. P.; Fessler, J. A.; Kritzman, J. N.; Hawman, P. C.; DeBruin, S. W.; and Corbett, J. R. J. Nuc. Med. (Abs. Book), 40(5): 4. May 1999.
Multiple line source array TCT/ECT system: A technical phantom evaluation [pdf]Paper   link   bibtex  
Spatial resolution properties of penalized-likelihood image reconstruction methods. Fessler, J. A. 1999.
link   bibtex  
Image restoration for confocal microscopy by using block coordinate descent algorithm. Sotthivirat, S.; and Fessler, J. A. 1999.
link   bibtex  
Regularization for uniform spatial resolution properties in penalized-likelihood PET reconstruction. Stayman, J. W.; and Fessler, J. A. 1999.
link   bibtex  
Iterative reconstruction for field inhomogeneities in MR imaging. Sutton, B. P.; and Fessler, J. A. 1999.
link   bibtex  
Statistical methods for PET transmission scans with nonlocal edge-preserving regularization. Yu, D. F.; and Fessler, J. A. 1999.
link   bibtex  
Penalized likelihood image reconstruction for overlapping transmission beams. Yu, D. F.; and Fessler, J. A. 1999.
link   bibtex  
  1998 (4)
Attenuation corrected SPECT perfusion imaging: Should corrected and uncorrected images be viewed together?. Corbett, J. R.; Duvernoy, C. S.; Fessler, J. A.; and Ficaro, E. P. J. Nuc. Med. (Abs. Book), 39(5): 73. May 1998.
Attenuation corrected SPECT perfusion imaging: Should corrected and uncorrected images be viewed together? [pdf]Paper   link   bibtex  
Differences in attenuation corrected myocardial activity distributions in low likelihood patients due to the emission reconstruction algorithm. Ficaro, E. P.; Fessler, J. A.; Ghia, K.; Chen, Y. C.; and Corbett, J. R. J. Nuc. Med. (Abs. Book), 39(5): 74. May 1998.
Differences in attenuation corrected myocardial activity distributions in low likelihood patients due to the emission reconstruction algorithm [pdf]Paper   link   bibtex  
End-diastolic vs ungated attenuation corrected myocardial perfusion SPECT for the detection of coronary heart disease. Ficaro, E. P.; Duvernoy, C. S.; Fessler, J. A.; and Corbett, J. R. J. Nuc. Med. (Abs. Book), 39(5): 74. May 1998.
End-diastolic vs ungated attenuation corrected myocardial perfusion SPECT for the detection of coronary heart disease [pdf]Paper   link   bibtex  
Spatial resolution properties of penalized-likelihood image reconstruction methods. Fessler, J. A. 1998.
link   bibtex  
  1997 (2)
Statistical algorithms for reconstructing cardiac attenuation maps from simultaneous transmission-emission SPECT systems. Ficaro, E. P.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 38(5): 214. May 1997.
Statistical algorithms for reconstructing cardiac attenuation maps from simultaneous transmission-emission SPECT systems [pdf]Paper   link   bibtex  
Structured bias originating from interaction between a penalized objective function and the system matrix. Ng, C. Y.; Clinthorne, N. H.; Fessler, J. A.; Hero, A. O.; and Rogers, W. L. J. Nuc. Med. (Abs. Book), 38(5): 9. May 1997.
Structured bias originating from interaction between a penalized objective function and the system matrix [pdf]Paper   link   bibtex  
  1996 (2)
High energy slit aperture and pinhole SPECT, a proposed method for correcting for aperture penetration to enhance resolution and minimize penetration background. Wrobel, M. C.; Clinthorne, N. H.; Fessler, J. A.; Zhang, Y.; and Rogers, W. L. J. Nuc. Med. (Abs. Book), 37(5): 7. May 1996.
High energy slit aperture and pinhole SPECT, a proposed method for correcting for aperture penetration to enhance resolution and minimize penetration background [pdf]Paper   link   bibtex  
Potentially marker-free registration of CT with I-131 Anti-B1 monoclonal-antibody intra-therapy SPECT. Koral, K. R.; Lin, S.; Fessler, J. A.; Kaminski, M. S.; Wahl, R. L.; Meyer, C. R.; Boes, J. L.; Kim, B.; and Bland, P. H. 1996. Published in Tumor Targeting, 2(3):174, 1996.
Potentially marker-free registration of CT with I-131 Anti-B1 monoclonal-antibody intra-therapy SPECT [pdf]Paper   link   bibtex  
  1995 (4)
In vivo mapping of the vesicular acetylcholine transporter in aging and Alzheimer's disease. Kuhl, D. E.; Fessler, J. A.; Minoshima, S.; Frey, K. A.; Foster, N. L.; Ficaro, E. P.; Wieland, D. M.; and Koeppe, R. A. J. Cerebral Blood Flow and Metabolism, 15(1): 132. 1995.
link   bibtex  
A hybrid-grid parameterization method for SPECT reconstruction. Zhang, Y.; Fessler, J. A.; Clinthorne, N. H.; and Rogers, W. L. J. Nuc. Med. (Abs. Book), 36(5): 172. May 1995.
A hybrid-grid parameterization method for SPECT reconstruction [pdf]Paper   link   bibtex  
Sufficient conditions for norm convergence of the EM algorithm. Hero, A. O.; and Fessler, J. A. 1995.
doi   link   bibtex  
Diagnostic-accuracy of attenuation corrected cardiac SPECT perfusion imaging. Ficaro, E. P.; Fessler, J. A.; Shreve, P. D.; Rose, J. N. K. P. A.; and Corbett, J. R. Circulation, 92(8): I11. October 1995.
Diagnostic-accuracy of attenuation corrected cardiac SPECT perfusion imaging [pdf]Paper   link   bibtex  
  1994 (3)
In vivo mapping of cholinergic neurons in the human brain using SPECT and (-)-5-[I-123] Iodobenzovesamical (IBVM). Kuhl, D. E.; Fessler, J. A.; Minoshima, S.; Cho, K.; Frey, K. A.; Wieland, D. M.; and Koeppe, R. A. J. Nuc. Med. (Abs. Book), 35(5): 68. May 1994.
In vivo mapping of cholinergic neurons in the human brain using SPECT and (-)-5-[I-123] Iodobenzovesamical (IBVM) [pdf]Paper   link   bibtex  
Monte-Carlo study of circumferential variations in cortex activity in I-123 SPECT. Luo, J. Q.; Koral, K. F.; Ljungberg, M.; Fessler, J. A.; Koeppe, R. A.; and Kuhl, D. E. J. Nuc. Med. (Abs. Book), 35(5): 82. May 1994.
Monte-Carlo study of circumferential variations in cortex activity in I-123 SPECT [pdf]Paper   link   bibtex  
Value of a vertex view for brain SPECT. Rogers, W. L.; Clinthorne, N. H.; Fessler, J. A.; Zhang, Y.; Hua, L.; Ng, C.; Usman, M.; and Hero, A. O. Eur. J. Nuc. Med. (Abs. of the World Cong. of the World Fed. of Nucl. Med. & Biol.), 21(10): 75. October 1994.
Value of a vertex view for brain SPECT [pdf]Paper   link   bibtex  
  1993 (9)
Recursive CR-type bounds and the EM algorithm: applications to ECT image reconstruction. Hero, A. O.; and Fessler, J. A. 1993.
doi   link   bibtex  
SPECT and PET reconstruction methods accounting for head-motion. Clinthorne, N. H.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 34(5): 91. May 1993.
SPECT and PET reconstruction methods accounting for head-motion [pdf]Paper   link   bibtex  
Co-registration methods for three-dimensional functional brain images: performance evaluation and application. Koeppe, R. A.; Minoshima, S.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 34(5): 70. May 1993.
Co-registration methods for three-dimensional functional brain images: performance evaluation and application [pdf]Paper   link   bibtex  
In vivo mapping of cholinergic neurons in the human brain using SPECT and (-)-5-[I-123] Iodobenzovesamical (IBVM). Kuhl, D. E.; Koeppe, R. A.; Fessler, J. A.; and others J. Nuc. Med. (Abs. Book), 34(5): 25. May 1993.
In vivo mapping of cholinergic neurons in the human brain using SPECT and (-)-5-[I-123] Iodobenzovesamical (IBVM) [pdf]Paper   link   bibtex  
The view from the top: what's it worth?. Rogers, W. L.; Clinthorne, N. H.; Fessler, J. A.; Chien, D.; Zhang, Y.; Hua, L.; Usman, M.; and Hero, A. O. J. Nuc. Med. (Abs. Book), 34(5): 190. May 1993.
The view from the top: what's it worth? [pdf]Paper   link   bibtex  
PET localization of response to thermal stimuli in human. Minoshima, S.; Frey, K. A.; Koeppe, R. A.; Berger, K. L.; Fessler, J. A.; Kuhl, D. E.; and Casey, K. L. J. Cerebral Blood Flow and Metabolism, 13: S260. 1993. Suppl 1
PET localization of response to thermal stimuli in human [pdf]Paper   link   bibtex  
Integrated and automated data analysis method for neuronal activation studies using O-15 water PET. Minoshima, S.; Koeppe, R. A.; Fessler, J. A.; Mintun, M. A.; Berger, K. L.; Taylor, S. F.; and Kuhl, D. E. Annals of nuclear medicine, 7: S74–5. 1993. Supplement.
Integrated and automated data analysis method for neuronal activation studies using O-15 water PET [pdf]Paper   link   bibtex  
Iterative reconstruction of truncated fan beam transmission data. Ficaro, E. P.; and Fessler, J. A. 1993.
Iterative reconstruction of truncated fan beam transmission data [pdf]Paper   link   bibtex  
Clinical application of attenuation correction for cardiac SPECT studies. Ficaro, E. P.; Fessler, J. A.; Ackerman, R. J.; Pitt, S. R.; Rogers, W. L.; and Schwaiger, M. Eur. J. Nuc. Med. (Eur. Assoc. of Nuc. Med. Cong.), 20(10): 143. October 1993.
Clinical application of attenuation correction for cardiac SPECT studies [pdf]Paper   link   bibtex  
  1992 (4)
Quantification of the human basal ganglia via iterative reconstruction. Fessler, J. A.; Rogers, W. L.; Clinthorne, N. H.; Hutchins, G. D.; and Koeppe, R. A. J. Nuc. Med. (Abs. Book), 33(5): 878. May 1992.
Quantification of the human basal ganglia via iterative reconstruction [pdf]Paper   link   bibtex  
Multi-energy maximum-likelihood reconstruction algorithms for SPECT and PET. Clinthorne, N. H.; Wang, X. H.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 33(5): 831. May 1992.
Multi-energy maximum-likelihood reconstruction algorithms for SPECT and PET [pdf]Paper   link   bibtex  
Tracer kinetic analysis of $[^{11}$C] N-Methyl-4-Piperidyl benzilate binding to muscarinic cholenergic receptors. Koeppe, R. A.; Frey, K. A.; Zubieta, J. A.; Fessler, J. A.; and others J. Nuc. Med. (Abs. Book), 33(5): 882. May 1992.
Tracer kinetic analysis of $[^{11}$C] N-Methyl-4-Piperidyl benzilate binding to muscarinic cholenergic receptors [pdf]Paper   link   bibtex  
A fast iterative reconstruction method based on functional regions. Zhang, Y.; Clinthorne, N. H.; Fessler, J. A.; and Rogers, W. L. J. Nuc. Med. (Abs. Book), 33(5): 831. May 1992.
A fast iterative reconstruction method based on functional regions [pdf]Paper   link   bibtex  
  1991 (2)
Effects of side information on myocardial blood flow estimation and optimal SPECT collimator resolution. Chiao, P. C.; Rogers, W. L.; Hero, A. O.; and Fessler, J. A. J. Nuc. Med. (Abs. Book), 32(5): 946. May 1991.
Effects of side information on myocardial blood flow estimation and optimal SPECT collimator resolution [pdf]Paper   link   bibtex  
Object and algorithm dependence of bias and variance for ART, MART, and the EM algorithm. Stamos, J. A.; Clinthorne, N. H.; Fessler, J. A.; and Rogers, W. L. J. Nuc. Med. (Abs. Book), 32(5): 986. May 1991.
Object and algorithm dependence of bias and variance for ART, MART, and the EM algorithm [pdf]Paper   link   bibtex  
  1989 (1)
Nonparametric tracking of shift and shape functions in medical images. Fessler, J. A.; and Macovski, A. 1989.
doi   link   bibtex  

Technical reports

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  2025 (6)
South-American adventures from kayak to inverse problems: A tribute to Alvaro Rodolfo De Pierro. Iusem, A.; Furuie, S.; Helou, E. S.; Miqueles, E. X.; Fessler, J. A.; Zibetti, M. V. W.; Leitao, A.; Martinez, A. G.; Luke, R.; Katsekpor, T.; and Martinez, J. M. 2025.
link   bibtex  
Smooth optimization algorithms for global and locally low-rank regularizers. Lobos, R. A.; Cavazos, J. S.; Nadakuditi, R. R.; and Fessler, J. A. 2025.
Smooth optimization algorithms for global and locally low-rank regularizers [link]Paper   link   bibtex  
Convergent complex quasi-Newton proximal method for gradient-driven denoisers in compressed sensing MRI reconstruction. Hong, T.; Xu, Z.; Chun, S. Y.; Hernandez-Garcia, L.; and Fessler, J. A. 2025.
Convergent complex quasi-Newton proximal method for gradient-driven denoisers in compressed sensing MRI reconstruction [link]Paper   link   bibtex  
Bilevel optimized implicit neural representation for scan-specific accelerated MRI reconstruction. Yu, H.; Fessler, J. A.; and Jiang, Y. 2025.
Bilevel optimized implicit neural representation for scan-specific accelerated MRI reconstruction [link]Paper   link   bibtex  
Scan-adaptive MRI undersampling using neighbor-based optimization (SUNO). Gautam, S.; Li, A.; Seiberlich, N.; Fessler, J. A.; and Ravishankar, S. 2025.
Scan-adaptive MRI undersampling using neighbor-based optimization (SUNO) [link]Paper   link   bibtex  
FlowDAS: A flow-based framework for data assimilation. Chen, S.; Jia, Y.; Qu, Q.; Sun, H.; and Fessler, J. A. 2025.
FlowDAS: A flow-based framework for data assimilation [link]Paper   link   bibtex  
  2024 (6)
On adapting randomized \Nystrom preconditioners to accelerate variational image reconstruction. Hong, T.; Xu, Z.; Hu, J.; and Fessler, J. A. 2024.
On adapting randomized \Nystrom preconditioners to accelerate variational image reconstruction [link]Paper   link   bibtex  
Patch-based diffusion models beat whole-image models for mismatched distribution inverse problems. Hu, J.; Song, B.; Fessler, J. A.; and Shen, L. 2024.
Patch-based diffusion models beat whole-image models for mismatched distribution inverse problems [link]Paper   link   bibtex  
Swap-Net: A memory-efficient 2.5D network for sparse-view 3D cone beam CT reconstruction. Xu, X.; Klasky, M.; McCann, M. T.; Hu, J.; and Fessler, J. A. 2024.
Swap-Net: A memory-efficient 2.5D network for sparse-view 3D cone beam CT reconstruction [link]Paper   link   bibtex  
DiffusionBlend: learning 3D image prior through position-aware diffusion score blending for 3D computed tomography reconstruction. Song, B.; Hu, J.; Luo, Z.; Fessler, J. A.; and Shen, L. 2024.
DiffusionBlend: learning 3D image prior through position-aware diffusion score blending for 3D computed tomography reconstruction [link]Paper   link   bibtex  
Learning image priors through patch-based diffusion models for solving inverse problems. Hu, J.; Song, B.; Xu, X.; Shen, L.; and Fessler, J. A. 2024.
Learning image priors through patch-based diffusion models for solving inverse problems [link]Paper   link   bibtex  
Provable preconditioned plug-and-play approach for compressed sensing MRI reconstruction. Hong, T.; Xu, X.; Hu, J.; and Fessler, J. A. 2024.
Provable preconditioned plug-and-play approach for compressed sensing MRI reconstruction [link]Paper   link   bibtex  
  2023 (9)
Streaming probabilistic PCA for missing data with heteroscedastic noise. Gilman, K.; Hong, D.; Fessler, J. A.; and Balzano, L. 2023.
Streaming probabilistic PCA for missing data with heteroscedastic noise [link]Paper   link   bibtex  
ALPCAH: Sample-wise heteroscedastic PCA with tail singular value regularization. Cavazos, J. A. S.; Fessler, J. A.; and Balzano, L. 2023.
ALPCAH: Sample-wise heteroscedastic PCA with tail singular value regularization [link]Paper   link   bibtex  
Imaging 3D chemistry at 1 nm resolution with fused multi-modal electron tomography. Schwartz, J.; Di, Z. W.; Jiang, Y.; Manassa, J.; Pietryga, J.; Qian, Y.; Cho, M.; Rowell, J.; Zheng, H.; Robinson, R.; Gu, J.; Rozeveld, S.; Ercius, P.; Fessler, J. A.; Xu, T.; Scott, M. C.; and Hovden, R. 2023.
Imaging 3D chemistry at 1 nm resolution with fused multi-modal electron tomography [link]Paper   link   bibtex  
Poisson-Gaussian holographic phase retrieval with score-based image prior. Li, Z.; Hu, J.; Xu, X.; Shen, L.; and Fessler, J. A. 2023.
Poisson-Gaussian holographic phase retrieval with score-based image prior [link]Paper   link   bibtex  
Dynamic subspace estimation with Grassmannian geodesics. Blocker, C. J.; Raja, H.; Fessler, J. A.; and Balzano, L. 2023.
Dynamic subspace estimation with Grassmannian geodesics [link]Paper   link   bibtex  
A complex quasi-Newton proximal method for image reconstruction in compressed sensing MRI. Hong, T.; Hernandez, L.; and Fessler, J. A. 2023.
A complex quasi-Newton proximal method for image reconstruction in compressed sensing MRI [link]Paper   link   bibtex  
Adaptive sampling for linear sensing systems via Langevin dynamics. Wang, G.; Noll, D. C.; and Fessler, J. A. 2023.
Adaptive sampling for linear sensing systems via Langevin dynamics [link]Paper   link   bibtex  
HeMPPCAT: mixtures of probabilistic principal component analysers for data with heteroscedastic noise. Xu, A. S.; Balzano, L.; and Fessler, J. A. 2023.
HeMPPCAT: mixtures of probabilistic principal component analysers for data with heteroscedastic noise [link]Paper   link   bibtex  
Training end-to-end unrolled iterative neural networks for SPECT image reconstruction. Li, Z.; Dewaraja, Y. K.; and Fessler, J. A. 2023.
Training end-to-end unrolled iterative neural networks for SPECT image reconstruction [link]Paper   link   bibtex  
  2022 (3)
Stochastic optimization of 3D non-Cartesian sampling trajectory (SNOPY). Wang, G.; Nielsen, J.; Fessler, J. A.; and Noll, D. C. 2022.
Stochastic optimization of 3D non-Cartesian sampling trajectory (SNOPY) [link]Paper   link   bibtex  
Imaging atomic-scale chemistry from fused multi-modal electron microscopy. Schwartz, J.; Di, Z. W.; Jiang, Y.; Fielitz, A. J.; Ha, D.; Perera, S. D.; Baggari, I. E.; Robinson, R. D.; Fessler, J. A.; Ophus, C.; Rozeveld, S.; and Hovden, R. 2022.
Imaging atomic-scale chemistry from fused multi-modal electron microscopy [link]Paper   link   bibtex  
Sparse-view cone beam CT reconstruction using data-consistent supervised and adversarial learning from scarce training data. Lahiri, A.; Klasky, M. L.; Fessler, J. A.; and Ravishankar, S. 2022.
Sparse-view cone beam CT reconstruction using data-consistent supervised and adversarial learning from scarce training data [link]Paper   link   bibtex  
  2021 (7)
Efficient approximation of Jacobian matrices involving a non-uniform fast Fourier transform (NUFFT). Wang, G.; and Fessler, J. A. 2021.
Efficient approximation of Jacobian matrices involving a non-uniform fast Fourier transform (NUFFT) [link]Paper   link   bibtex  
Bilevel methods for image reconstruction. Crockett, C.; and Fessler, J. A. 2021.
Bilevel methods for image reconstruction [link]Paper   link   bibtex  
Manifold model for high-resolution fMRI joint reconstruction and dynamic quantification. Guo, S.; Fessler, J. A.; and Noll, D. C. 2021.
Manifold model for high-resolution fMRI joint reconstruction and dynamic quantification [link]Paper   link   bibtex  
Blind primed supervised (BLIPS) learning for MR image reconstruction. Lahiri, A.; Wang, G.; Ravishankar, S.; and Fessler, J. A. 2021.
Blind primed supervised (BLIPS) learning for MR image reconstruction [link]Paper   link   bibtex  
Algorithms for Poisson phase retrieval. Li, Z.; Lange, K.; and Fessler, J. A. 2021.
Algorithms for Poisson phase retrieval [link]Paper   link   bibtex  
B-spline parameterized joint optimization of reconstruction and k-space trajectories (BJORK) for accelerated 2D MRI. Wang, G.; Luo, T.; Nielsen, J.; Noll, D. C.; and Fessler, J. A. 2021.
B-spline parameterized joint optimization of reconstruction and k-space trajectories (BJORK) for accelerated 2D MRI [link]Paper   link   bibtex  
HePPCAT: probabilistic PCA for data with heteroscedastic noise. Hong, D.; Gilman, K.; Balzano, L.; and Fessler, J. A. 2021.
HePPCAT: probabilistic PCA for data with heteroscedastic noise [link]Paper   link   bibtex  
  2020 (2)
Joint design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation in MRI. Luo, T.; Noll, D. C.; Fessler, J. A.; and Nielsen, J. 2020.
Joint design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation in MRI [link]Paper   link   bibtex  
Efficient regularized field map estimation in 3D parallel MRI. Lin, C. Y.; and Fessler, J. A. 2020.
Efficient regularized field map estimation in 3D parallel MRI [link]Paper   link   bibtex  
  2019 (9)
BCD-net for low-dose CT reconstruction: Acceleration, convergence, and generalization. Zheng, X.; Chun, I. Y.; Long, Y.; and Fessler, J. A. 2019.
BCD-net for low-dose CT reconstruction: Acceleration, convergence, and generalization [link]Paper   link   bibtex  
Momentum-Net: Fast and convergent iterative neural network for inverse problems. Chun, I. Y.; Huang, Z.; Lim, H.; and Fessler, J. A. 2019.
Momentum-Net: Fast and convergent iterative neural network for inverse problems [link]Paper   link   bibtex  
Improved low-count quantitative PET reconstruction with a variational neural network. Lim, H.; Chun, I. Y.; Dewaraja, Y. K.; and Fessler, J. A. 2019.
Improved low-count quantitative PET reconstruction with a variational neural network [link]Paper   link   bibtex  
Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression. Lahiri, A.; Fessler, J. A.; and Hernandez-Garcia, L. 2019.
Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression [link]Paper   link   bibtex  
Image reconstruction: from sparsity to data-adaptive methods and machine learning. Ravishankar, S.; Ye, J. C.; and Fessler, J. A. 2019.
Image reconstruction: from sparsity to data-adaptive methods and machine learning [link]Paper   link   bibtex  
A memory-efficient algorithm for large-scale sparsity regularized image reconstruction. Ongie, G.; Murthy, N.; Balzano, L.; and Fessler, J. A. 2019.
A memory-efficient algorithm for large-scale sparsity regularized image reconstruction [link]Paper   link   bibtex  
Optimization methods for MR image reconstruction. Fessler, J. A. 2019.
Optimization methods for MR image reconstruction [link]Paper   link   bibtex  
Convolutional analysis operator learning: Dependence on training data. Chun, I. Y.; Hong, D.; Adcock, B.; and Fessler, J. A. 2019.
Convolutional analysis operator learning: Dependence on training data [link]Paper   link   bibtex  
DECT-MULTRA: dual-energy CT image decomposition with learned mixed material models and efficient clustering. Li, Z.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2019.
DECT-MULTRA: dual-energy CT image decomposition with learned mixed material models and efficient clustering [link]Paper   link   bibtex  
  2018 (9)
A practical light transport system model for chemiluminescence distribution reconstruction. McGaffin, M. G.; Chen, H.; Fessler, J. A.; and Sick, V. 2018.
A practical light transport system model for chemiluminescence distribution reconstruction [link]Paper   link   bibtex  
Optimally weighted PCA for high-dimensional heteroscedastic data. Hong, D.; Yang, F.; Fessler, J. A.; and Balzano, L. 2018.
Optimally weighted PCA for high-dimensional heteroscedastic data [link]Paper   link   bibtex  
Fast, precise myelin water quantification using DESS MRI and kernel learning. Nataraj, G.; Nielsen, J.; Gao, M.; and Fessler, J. A. 2018. Submitted.
Fast, precise myelin water quantification using DESS MRI and kernel learning [link]Paper   link   bibtex  
Online adaptive image reconstruction (OnAIR) using dictionary models. Moore, B. E.; Ravishankar, S.; Nadakuditi, R. R.; and Fessler, J. A. 2018.
Online adaptive image reconstruction (OnAIR) using dictionary models [link]Paper   link   bibtex  
SPULTRA: low-dose CT image reconstruction with joint statistical and learned image models. Ye, S.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2018.
SPULTRA: low-dose CT image reconstruction with joint statistical and learned image models [link]Paper   link   bibtex  
Optimizing the efficiency of first-order methods for decreasing the gradient of smooth convex functions. Kim, D.; and Fessler, J. A. 2018.
Optimizing the efficiency of first-order methods for decreasing the gradient of smooth convex functions [link]Paper   link   bibtex  
Deep BCD-net using identical encoding-decoding CNN structures for iterative image recovery. Chun, I. Y.; and Fessler, J. A. 2018.
Deep BCD-net using identical encoding-decoding CNN structures for iterative image recovery [link]Paper   link   bibtex  
Convolutional analysis operator learning: acceleration and convergence. Chun, I. Y.; and Fessler, J. A. 2018.
Convolutional analysis operator learning: acceleration and convergence [link]Paper   link   bibtex  
Statistical image reconstruction using mixed Poisson-Gaussian noise model for X-ray CT. Ding, Q.; Long, Y.; Zhang, X.; and Fessler, J. A. 2018.
Statistical image reconstruction using mixed Poisson-Gaussian noise model for X-ray CT [link]Paper   link   bibtex  
  2017 (9)
Sparse-view X-ray CT reconstruction using $\ell_1$ prior with learned transform. Zheng, X.; Chun, I. Y.; Li, Z.; Long, Y.; and Fessler, J. A. 2017.
Sparse-view X-ray CT reconstruction using $\ell_1$ prior with learned transform [link]Paper   link   bibtex  
Dictionary-free MRI PERK: Parameter estimation via regression with kernels. Nataraj, G.; Nielsen, J.; Scott, C.; and Fessler, J. A. 2017.
Dictionary-free MRI PERK: Parameter estimation via regression with kernels [link]Paper   link   bibtex  
Medical image reconstruction: a brief overview of past milestones and future directions. Fessler, J. A. 2017.
Medical image reconstruction: a brief overview of past milestones and future directions [link]Paper   link   bibtex  
Low dose CT image reconstruction with learned sparsifying transform. Zheng, X.; Lu, Z.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2017.
Low dose CT image reconstruction with learned sparsifying transform [link]Paper   link   bibtex  
Convolutional dictionary learning: acceleration and convergence. Chun, I. Y.; and Fessler, J. A. 2017.
Convolutional dictionary learning: acceleration and convergence [link]Paper   link   bibtex  
PWLS-ULTRA: An efficient clustering and learning-based approach for low-dose 3D CT image reconstruction. Zheng, X.; Ravishankar, S.; Long, Y.; and Fessler, J. A. 2017.
PWLS-ULTRA: An efficient clustering and learning-based approach for low-dose 3D CT image reconstruction [link]Paper   link   bibtex  
Asymptotic performance of PCA for high-dimensional heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2017.
Asymptotic performance of PCA for high-dimensional heteroscedastic data [link]Paper   link   bibtex  
Adaptive restart of the optimized gradient method for convex optimization. Kim, D.; and Fessler, J. A. 2017.
Adaptive restart of the optimized gradient method for convex optimization [link]Paper   link   bibtex  
Efficient sum of outer products dictionary learning (SOUP-DIL) and its application to inverse problems. Ravishankar, S.; Nadakuditi, R. R.; and Fessler, J. A. 2017.
Efficient sum of outer products dictionary learning (SOUP-DIL) and its application to inverse problems [link]Paper   link   bibtex  
  2016 (6)
Michigan image reconstruction toolbox (MIRT) for Matlab. Fessler, J. A. 2016. Available from \myurl.
link   bibtex  
Low-rank and adaptive sparse signal (LASSI) models for highly accelerated dynamic imaging. Ravishankar, S.; Moore, B. E.; Nadakuditi, R. R.; and Fessler, J. A. 2016.
Low-rank and adaptive sparse signal (LASSI) models for highly accelerated dynamic imaging [link]Paper   link   bibtex  
Towards a theoretical analysis of PCA for heteroscedastic data. Hong, D.; Balzano, L.; and Fessler, J. A. 2016.
Towards a theoretical analysis of PCA for heteroscedastic data [link]Paper   link   bibtex  
Fast dual proximal gradient algorithms with rate $O(1/k^{1.5})$ for convex minimization. Kim, D.; and Fessler, J. A. 2016.
Fast dual proximal gradient algorithms with rate $O(1/k^{1.5})$ for convex minimization [link]Paper   link   bibtex  
Another look at the fast iterative shrinkage/thresholding algorithm (FISTA). Kim, D.; and Fessler, J. A. 2016.
Another look at the fast iterative shrinkage/thresholding algorithm (FISTA) [link]Paper   link   bibtex  
Generalizing the optimized gradient method for smooth convex minimization. Kim, D.; and Fessler, J. A. 2016.
Generalizing the optimized gradient method for smooth convex minimization [link]Paper   link   bibtex  
  2015 (5)
Optimized first-order methods for smooth convex minimization - Supplementary material. Kim, D.; and Fessler, J. A. 2015.
link   bibtex  
Relaxed linearized algorithms for faster X-ray CT image reconstruction. Nien, H.; and Fessler, J. A. 2015.
Relaxed linearized algorithms for faster X-ray CT image reconstruction [link]Paper   link   bibtex  
Efficient sum of outer products dictionary learning (SOUP-DIL) - The $\ell_0$ method. Ravishankar, S.; Nadakuditi, R. R.; and Fessler, J. A. 2015.
Efficient sum of outer products dictionary learning (SOUP-DIL) - The $\ell_0$ method [link]Paper   link   bibtex  
On the convergence analysis of the optimized gradient methods. Kim, D.; and Fessler, J. A. 2015.
On the convergence analysis of the optimized gradient methods [link]Paper   link   bibtex  
Algorithmic design of majorizers for large-scale inverse problems. McGaffin, M. G.; and Fessler, J. A. 2015.
Algorithmic design of majorizers for large-scale inverse problems [link]Paper   link   bibtex  
  2014 (4)
Undersampled phase retrieval with outliers. Weller, D. S.; Pnueli, A.; Divon, G.; Radzyner, O.; Eldar, Y. C.; and Fessler, J. A. 2014.
Undersampled phase retrieval with outliers [link]Paper   link   bibtex  
Optimized first-order methods for smooth convex minimization. Kim, D.; and Fessler, J. A. 2014.
Optimized first-order methods for smooth convex minimization [link]Paper   link   bibtex  
Fast X-ray CT image reconstruction using the linearized augmented Lagrangian method with ordered subsets. Nien, H.; and Fessler, J. A. 2014.
Fast X-ray CT image reconstruction using the linearized augmented Lagrangian method with ordered subsets [link]Paper   link   bibtex  
A convergence proof of the split Bregman method for regularized least-squares problems. Nien, H.; and Fessler, J. A. 2014.
A convergence proof of the split Bregman method for regularized least-squares problems [link]Paper   link   bibtex  
  2012 (1)
System modeling for gamma-ray imaging systems. Lingenfelter, D. J.; and Fessler, J. A. Technical Report 411, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, March 2012.
System modeling for gamma-ray imaging systems [pdf]Paper   link   bibtex  
  2008 (1)
Fundamental performance analysis in image registration problems: \Cramer-Rao bound and its variations. Ruan, D.; and Fessler, J. A. Technical Report 386, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, March 2008.
Fundamental performance analysis in image registration problems: \Cramer-Rao bound and its variations [pdf]Paper   link   bibtex  
  2007 (1)
Adaptive ellipse tracking and a convergence proof. Ruan, D.; and Fessler, J. A. Technical Report 382, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, May 2007.
Adaptive ellipse tracking and a convergence proof [pdf]Paper   link   bibtex  
  2004 (2)
Properties of MM algorithms on convex feasible sets: extended version. Jacobson, M. W.; and Fessler, J. A. Technical Report 353, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, November 2004.
Properties of MM algorithms on convex feasible sets: extended version [pdf]Paper   link   bibtex  
Matlab tomography toolbox. Fessler, J. A. 2004. Available from \myurl.
link   bibtex  
  2003 (2)
Standard errors of mean, variance, and standard deviation estimators. Ahn, S.; and Fessler, J. A. Technical Report 413, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, July 2003.
Standard errors of mean, variance, and standard deviation estimators [pdf]Paper   link   bibtex  
Fourier-based forward and back-projectors for iterative image reconstruction. Matej, S.; Fessler, J. A.; and Kazantsev, I. G. Technical Report MIPG303, MIPG Technical Report, University of Pennsylvania, May 2003.
Fourier-based forward and back-projectors for iterative image reconstruction [pdf]Paper   link   bibtex  
  2001 (2)
Some tips for LaTeX, Matlab, and ANSI C. Fessler, J. A. Technical Report Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, November 2001. Technical report available from \myurl.
Some tips for LaTeX, Matlab, and ANSI C [pdf]Paper   link   bibtex  
Iterative tomographic image reconstruction using nonuniform fast Fourier transforms. Fessler, J. A. Technical Report Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, December 2001. Technical report available from \myurl.
Iterative tomographic image reconstruction using nonuniform fast Fourier transforms [pdf]Paper   link   bibtex  
  1998 (2)
On transformations of random vectors. Fessler, J. A. Technical Report 314, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, August 1998. ønweb
On transformations of random vectors [pdf]Paper   link   bibtex  
Computing parametric images from dynamic sequences using a QR decomposition method. Fessler, J. A. Technical Report 321, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, December 1998. ønweb
Computing parametric images from dynamic sequences using a QR decomposition method [pdf]Paper   link   bibtex  
  1997 (3)
Conjugate-gradient preconditioning methods: numerical results. Fessler, J. A. Technical Report 303, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, January 1997. ønweb
Conjugate-gradient preconditioning methods: numerical results [pdf]Paper   link   bibtex  
Spatial resolution properties of penalized weighted least-squares image reconstruction with model mismatch. Fessler, J. A. Technical Report 308, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, March 1997. ønweb
Spatial resolution properties of penalized weighted least-squares image reconstruction with model mismatch [pdf]Paper   link   bibtex  
Users guide for ASPIRE 3D image reconstruction software. Fessler, J. A. Technical Report 310, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, July 1997. ønweb
Users guide for ASPIRE 3D image reconstruction software [pdf]Paper   link   bibtex  
  1996 (2)
Signal processing pitfalls in positron emission tomography. Fessler, J. A.; and Ollinger, J. M. Technical Report 302, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, September 1996. ønweb
Signal processing pitfalls in positron emission tomography [pdf]Paper   link   bibtex  
Recursive algorithms for computing the Cramer-Rao bound. Hero, A. O.; Usman, M.; Sauve, A.; and Fessler, J. A. Technical Report 305, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, November 1996.
Recursive algorithms for computing the Cramer-Rao bound [pdf]Paper   link   bibtex  
  1995 (2)
ASPIRE 3.0 user's guide: A sparse iterative reconstruction library. Fessler, J. A. Technical Report 293, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, July 1995. ønweb
ASPIRE 3.0 user's guide: A sparse iterative reconstruction library [pdf]Paper   link   bibtex  
Resolution properties of regularized image reconstruction methods. Fessler, J. A. Technical Report 297, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, August 1995.
Resolution properties of regularized image reconstruction methods [pdf]Paper   link   bibtex  
  1994 (2)
Space-alternating generalized EM algorithms for penalized maximum-likelihood image reconstruction. Fessler, J. A.; and Hero, A. O. Technical Report 286, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, February 1994.
Space-alternating generalized EM algorithms for penalized maximum-likelihood image reconstruction [pdf]Paper   link   bibtex  
EM and gradient algorithms for transmission tomography with background contamination. Fessler, J. A. Technical Report UM-PET-JF-94-1, Cyclotron PET Facility, Univ. of Michigan, Ann Arbor, MI, 48109-2122, December 1994. ønweb
EM and gradient algorithms for transmission tomography with background contamination [pdf]Paper   link   bibtex  
  1993 (1)
Asymptotic convergence properties of EM-type algorithms. Hero, A. O.; and Fessler, J. A. Technical Report 282, Comm. and Sign. Proc. Lab., Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, 48109-2122, April 1993.
Asymptotic convergence properties of EM-type algorithms [pdf]Paper   link   bibtex  
  1990 (1)
Object-based 3-D reconstruction of arterial trees from a few projections. Fessler, J. A. Ph.D. Thesis, Stanford Univ., Stanford, CA., August 1990.
Object-based 3-D reconstruction of arterial trees from a few projections [pdf]Paper   link   bibtex  

Book chapters

BibBase fessler, j
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  2024 (1)
Linear algebra for data science, machine learning, and signal processing. Fessler, J. A.; and Nadakuditi, R. R. Cambridge, 2024.
doi   link   bibtex  
  2014 (1)
Fundamentals of CT reconstruction in 2D and 3D. Fessler, J. A. In Brahme, A., editor(s), Comprehensive Biomedical Physics, Vol. 2: X-Ray and Ultrasound Imaging, pages 263–95. Elsevier, Netherlands, 2014.
doi   link   bibtex  
  2010 (1)
Statistical iterative reconstruction for X-ray computed tomography. De Man, B.; and Fessler, J. A. In Censor, Y.; Jiang, M.; and Wang, G., editor(s), Biomedical Mathematics: Promising Directions in Imaging, Therapy Planning and Inverse Problems, pages 113–40. Medical Physics Publishing, Madison, WI, 2010. ISBN: 9781930524484
Statistical iterative reconstruction for X-ray computed tomography [link]Paper   link   bibtex  
  2007 (1)
Electrocorticogram as a brain computer interface signal source. Huggins, J. E.; Graimann, B.; Chun, S. Y.; Fessler, J. A.; and Levine, S. P. In Dornhege, G.; del R. \Millan, \.; Hinterberger, T.; McFarland, D.; and Mueller, K., editor(s), Towards Brain-Computer Interfacing, pages 129–46. MIT Press, Cambridge, 2007.
link   bibtex  
  2006 (1)
Image reconstruction: Algorithms and analysis. Fessler, J. A. ., 2006. Book in preparation.
link   bibtex  
  2000 (1)
Statistical image reconstruction methods for transmission tomography. Fessler, J. A. In Sonka, M.; and Fitzpatrick, J. M., editor(s), Handbook of Medical Imaging, Volume 2. Medical Image Processing and Analysis, pages 1–70. SPIE, Bellingham, 2000.
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