Jerry L. Prince
Affiliations: | Johns Hopkins University, Baltimore, MD |
Area:
Biomedical Engineering, Electronics and Electrical Engineering, Computer ScienceWebsite:
https://engineering.jhu.edu/faculty/jerry-prince/Google:
"Jerry L Prince"Bio:
Prince, Jerry L Geometric model-based estimation from projections Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1988.
Parents
Sign in to add mentor| Alan S. Willsky | grad student | 1988 | MIT | |
| (Geometric model-based estimation from projections) | ||||
Children
Sign in to add trainee| William S. Kerwin | grad student | 2000 | Johns Hopkins |
| Nael F. Osman | grad student | 2000 | Johns Hopkins |
| Maryam E. Rettmann | grad student | 2003 | Johns Hopkins |
| Smita Sampath | grad student | 2005 | Johns Hopkins |
| Xiaodong Tao | grad student | 2005 | Johns Hopkins |
| Vijay Parthasarathy | grad student | 2006 | Johns Hopkins |
| Krishnakumar Ramamurthi | grad student | 2006 | Johns Hopkins |
| Duygu Tosun | grad student | 2006 | Johns Hopkins |
| Lotta M. Ellingsen | grad student | 2008 | Johns Hopkins |
| Harsh K. Agarwal | grad student | 2010 | Johns Hopkins |
| John A. Bogovic | grad student | 2013 | Johns Hopkins |
| Snehashis Roy | grad student | 2013 | Johns Hopkins |
| Murat Bilgel | grad student | 2011-2016 | Johns Hopkins (Neurotree) |
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Publications
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| Carass A, Greenman D, Dewey BE, et al. (2024) Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI. Neuroimage. Reports. 4 |
| Zuo L, Liu Y, Xue Y, et al. (2023) HACA3: A unified approach for multi-site MR image harmonization. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 109: 102285 |
| Han S, Remedios SW, Schär M, et al. (2023) ESPRESO: An algorithm to estimate the slice profile of a single magnetic resonance image. Magnetic Resonance Imaging. 9930 |
| Liu Y, Zuo L, Han S, et al. (2022) Coordinate Translator for Learning Deformable Medical Image Registration. Multiscale Multimodal Medical Imaging : Third International Workshop, Mmmi 2022, Held in Conjunction With Miccai 2022, Singapore, September 22, 2022, Proceedings. 13594: 98-109 |
| Shao M, Zuo L, Carass A, et al. (2022) Evaluating the impact of MR image harmonization on thalamus deep network segmentation. Proceedings of Spie--the International Society For Optical Engineering. 12032 |
| Remedios SW, Han S, Dewey BE, et al. (2021) Joint Image and Label Self-Super-Resolution. Simulation and Synthesis in Medical Imaging : ... International Workshop, Sashimi ..., Held in Conjunction With Miccai ..., Proceedings. Sashimi (Workshop). 12965: 14-23 |
| Liu X, Xing F, Prince JL, et al. (2021) DUAL-CYCLE CONSTRAINED BIJECTIVE VAE-GAN FOR TAGGED-TO-CINE MAGNETIC RESONANCE IMAGE SYNTHESIS. Proceedings. Ieee International Symposium On Biomedical Imaging. 2021 |
| Singh M, Pahl E, Wang S, et al. (2021) Accurate Estimation of Total Intracranial Volume in MRI using a Multi-tasked Image-to-Image Translation Network. Proceedings of Spie--the International Society For Optical Engineering. 11596 |
| Zhao C, Dewey BE, Pham DL, et al. (2020) SMORE: A Self-supervised Anti-aliasing and Super-resolution Algorithm for MRI Using Deep Learning. Ieee Transactions On Medical Imaging |
| Yang H, Sun J, Carass A, et al. (2020) Unsupervised MR-to-CT Synthesis using Structure-Constrained CycleGAN. Ieee Transactions On Medical Imaging |