Journal Papers

BibBase fessler, j
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  2022 (5)
Statistical image reconstruction with beam hardening compensation for X-ray CT by a calibration step (CalIterBH). Martinez, C.; Fessler, J. A.; Desco, M.; and Abella, M. IEEE Trans. Med. Imag.. 2022. Submitted
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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. 2022. Submitted
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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 (21)
Physics-guided self-supervised framework for deep scatter estimation in quantitative SPECT. Kim, H.; Son, J.; Li, Z.; Fessler, J. A.; Dewaraja, Y. K.; and Chun, S. Y. IEEE Trans. Med. Imag.. 2021. Submitted
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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. 2021. Submitted
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Bilevel methods for image reconstruction. Crockett, C.; and Fessler, J. A. Found. & Trends in Sig. Pro.. 2021. Submitted
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Focal stack based image forgery localization. Huang, Z.; Fessler, J. A.; and Norris, T. B. Appl. Optics. 2021. Submitted
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Focal stack camera: depth estimation performance comparison and design exploration. Huang, Z.; Fessler, J. A.; and Norris, T. B. OSA Continuum. 2021. Submitted
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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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Manifold model for high-resolution fMRI joint reconstruction and dynamic quantification. Guo, S.; Fessler, J. A.; and Noll, D. C. IEEE Trans. Med. Imag.. 2021. Submitted
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Algorithms for Poisson phase retrieval. Li, Z.; Lange, K.; and Fessler, J. A. IEEE Trans. Computational Imaging. 2021. Submitted
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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.. 2021. Submitted
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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.. 2021. Provisionally accepted
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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.. 2021. To appear
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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.. 2021. To appear
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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.. 2021. To appear
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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. 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 (17)
Optimally weighted PCA for high-dimensional heteroscedastic data. Hong, D.; Fessler, J. A.; and Balzano, L. Ann. Stat.. 2018. Submitted.
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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.
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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.
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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.
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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.
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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.
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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.
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  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.
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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.
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Edge-preserving tomographic reconstruction with nonlocal regularization. Yu, D. F.; and Fessler, J. A. IEEE Trans. Med. Imag., 21(2): 159–73. February 2002.
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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.
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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.
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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.
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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.
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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.