Doctoral dissertations co-chaired. Updated 2026-8-20
  1. Amaya Murguia.
    Advances in myelin-sensitive quantitative MR imaging for Alzheimer's disease applications. UM, 2026
  2. Jason Hu.
    Diffusion models for large-scale and 3D image reconstruction problems. UM, 2026
  3. Javier Salazar Cavazos.
    Learning representations from noisy data and brain imaging: Subspace modeling for heteroscedastic data and deep learning for functional MRI in Alzheimer's disease. UM, 2026
  4. Haowei Xiang.
    Advanced image reconstruction and sampling pattern optimization in silent MRI. UM, 2024
  5. Naveen Murthy.
    Advances in myelin water imaging and stack-of-spirals MRI: Image reconstruction and parameter estimation. UM, 2024
  6. Mingjie Gao.
    Advances in image reconstruction for digital breast tomosynthesis. UM, 2023
  7. Zongyu Li.
    Solving Poisson inverse problems in phase retrieval and single photon emission computerized tomography. UM, 2023
  8. Guanhua Wang.
    Optimizing signal sampling strategies for magnetic resonance imaging. UM, 2023
  9. Steven Whitaker.
    Magnetic resonance imaging: Myelin water imaging and model-based image reconstruction. UM, 2022
  10. Caroline E Crockett.
    How students and algorithms learn to filter: Investigating students' understanding of signal processing concepts and bilevel methods for learning filters for image reconstruction. UM, 2022
  11. Shouchang Guo.
    Novel models for high-dimensional imaging: high-resolution fMRI acceleration and quantification. UM, 2022
  12. Anish Lahiri.
    Learning-based algorithms for inverse problems in MR image reconstruction and quantitative perfusion imaging. UM, 2021
  13. Claire Yilin Lin.
    Efficient model-based reconstruction for dynamic MRI. UM, 2021
  14. Hongki Lim.
    Quantitative image reconstruction methods for low signal-to-noise ratio emission tomography. UM, 2020
  15. David Hong.
    Learning low-dimensional models for heterogeneous data. UM, 2019
  16. Sydney N Williams.
    Constrained and spectral-spatial RF pulse design for magnetic resonance imaging. UM, 2018
  17. Gopal Nataraj.
    Advances in quantitative MRI: acquisition, estimation, and application. UM, 2018
  18. Lianli Liu.
    Optimizing magnetic resonance imaging for image-guided radiotherapy. UM, 2018
  19. Jiabei Zheng.
    Improving image reconstruction for digital breast tomosynthesis. UM, 2017
  20. Matthew John Muckley.
    Acceleration methods for MRI. UM, 2016
  21. Jung Kuk Kim.
    Algorithm and architecture co-design for high performance digital signal processing. UM, 2015
  22. Hao Sun.
    Topics in steady-state MRI sequences and RF pulse optimization. UM, 2015
  23. Sid Ying-Ze Bao.
    Geometric and semantic scene understanding. UM, 2014
  24. Feng Zhao.
    Methods for MRI RF pulse design and image reconstruction. UM, 2013
  25. Daehyun Yoon.
    Fast joint design of RF and gradient waveforms for MRI parallel excitation. UM, 2012
  26. Yong Long.
    Statistical image reconstruction and motion estimation for image-guided radiotherapy. UM, 2011
  27. Catherine Mareva Dupuis Kublik.
    Topics in PDE-based image processing. UM, 2010
  28. Ray Maleh.
    Efficient sparse approximation methods for medical imaging. UM, 2009
  29. Valur Olafsson.
    Fast and motion robust dynamic R2* reconstruction for functional MRI. UM, 2009
  30. Eran Bashan.
    Efficient resource allocation schemes for search. UM, 2008
  31. Roshni Bhagalia.
    Analysis and strategies to enhance intensity-based image registration. UM, 2008
  32. Aniket Joshi.
    Improved quantitative methods for multiple neuropharmacological non-invasive brain PET studies. UM, 2008
  33. Ted W Way.
    Computer-aided diagnosis of pulmonary nodules in thoracic computed tomography. UM, 2008
  34. Teng Beck Desmond Yeo.
    Advances in concurrent motion and field-inhomogeneity correction in functional MRI. UM, 2008
  35. Ramkrishnan Narayanan.
    Diffeomorphic transformations for automatic multimodality image registration. UM, 2007
  36. Joonki Noh.
    True spatio-temporal detection and estimation for functional magnetic resonance imaging. UM, 2007
  37. Chun-yu Yip.
    RF pulse designs for signal recovery in T2*-weighted functional magnetic resonance imaging. UM, 2007
  38. Ted W Way.
    Effects of CT scanning parameters on 3D active contour segmentation for volume estimation of simulated lung nodules in chest phantom. UM, 2006
  39. Sangwoo Lee.
    Iterative reconstruction methods for rosette trajectories in functional MRI. UM, 2006
  40. Sumati Krishnan.
    K-space acquisition method for dynamic contrast-enhanced MRI: Application to breast tumors. UM, 2004
  41. Bradley P Sutton.
    Physics-based reconstruction for MRI: Compensating and estimating field inhomogeneity and $T_2^*$ relaxation. UM, 2003
  42. Hyunjin Park.
    Adaptive registration and atlas based segmentation. UM, 2003
  43. Predrag Sukovic.
    Design of a dual modality PET/cone beam CT scanner - A feasibility study. UM, 2003
  44. Amir Ghanei.
    A knowledge-based deformable surface model for analysis of medical images. UM, 2001
  45. Stephen Robert Titus.
    Improved penalized likelihood reconstruction of anatomically correlated emission data. UM, 1996
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