| CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation AE Kavur, NS Gezer, M Barış, S Aslan, PH Conze, V Groza, DD Pham, ... Medical Image Analysis 69, 101950, 2021 | 455 | 2021 |
| Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images A Carass, JL Cuzzocreo, S Han, CR Hernandez-Castillo, PE Rasser, ... NeuroImage 183, 150-172, 2018 | 92 | 2018 |
| Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization S Han, A Carass, Y He, JL Prince NeuroImage 218, 116819, 2020 | 52 | 2020 |
| Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly M Shao, S Han, A Carass, X Li, AM Blitz, J Shin, JL Prince, LM Ellingsen NeuroImage: Clinical 23, 101871, 2019 | 51 | 2019 |
| Longitudinal analysis of regional cerebellum volumes during normal aging S Han, Y An, A Carass, JL Prince, SM Resnick NeuroImage 220, 117062, 2020 | 40 | 2020 |
| Shortcomings of ventricle segmentation using deep convolutional networks M Shao, S Han, A Carass, X Li, AM Blitz, JL Prince, LM Ellingsen Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018 | 23 | 2018 |
| Coordinate Translator for Learning Deformable Medical Image Registration Y Liu, L Zuo, S Han, Y Xue, JL Prince, A Carass International Workshop on Multiscale Multimodal Medical Imaging, 98-109, 2022 | 19 | 2022 |
| Cerebellum parcellation with convolutional neural networks S Han, Y He, A Carass, SH Ying, JL Prince Medical Imaging 2019: Image Processing 10949, 143-148, 2019 | 19 | 2019 |
| Disentangled representation learning for octa vessel segmentation with limited training data Y Liu, A Carass, L Zuo, Y He, S Han, L Gregori, S Murray, R Mishra, J Lei, ... IEEE transactions on medical imaging, 2022 | 13 | 2022 |
| A standardized pipeline for examining human cerebellar grey matter morphometry using structural magnetic resonance imaging R Kerestes, S Han, S Balachander, C Hernandez-Castillo, JL Prince, ... J Vis Exp 4 (180), 2022 | 10 | 2022 |
| Realistic analytical polyhedral MRI phantoms TM Ngo, GSK Fung, S Han, M Chen, JL Prince, BMW Tsui, ER McVeigh, ... Magnetic resonance in medicine 76 (2), 663-678, 2016 | 10 | 2016 |
| Disentangling A Single MR Modality L Zuo, Y Liu, Y Xue, S Han, M Bilgel, SM Resnick, JL Prince, A Carass arXiv preprint arXiv:2205.04982, 2022 | 8 | 2022 |
| Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation L Zuo, A Carass, S Han, JL Prince Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018 | 8 | 2018 |
| Joint Image and Label Self-super-Resolution SW Remedios, S Han, BE Dewey, DL Pham, JL Prince, A Carass International Workshop on Simulation and Synthesis in Medical Imaging, 14-23, 2021 | 6 | 2021 |
| Multiple Sclerosis brain lesion segmentation with different architecture ensembles P Tohidi, SW Remedios, DL Greenman, M Shao, S Han, BE Dewey, ... Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and …, 2022 | 5 | 2022 |
| Deep filter bank regression for super-resolution of anisotropic MR brain images SW Remedios, S Han, Y Xue, A Carass, TD Tran, DL Pham, JL Prince International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| MR Slice Profile Estimation by Learning to Match Internal Patch Distributions S Han, S Remedios, A Carass, M Schär, JL Prince International Conference on Information Processing in Medical Imaging, 108-119, 2021 | 4 | 2021 |
| Slice Profile Estimation From 2D MRI Acquisition Using Generative Adversarial Networks S Han, A Carass, M Schär, PA Calabresi, JL Prince 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 145-149, 2021 | 4 | 2021 |
| Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors S Han, JL Prince, A Carass International Workshop on Machine Learning in Medical Imaging, 404-413, 2020 | 4 | 2020 |
| ESPRESO: An algorithm to estimate the slice profile of a single magnetic resonance image S Han, SW Remedios, M Schär, A Carass, JL Prince Magnetic Resonance Imaging 98, 155-163, 2023 | 3 | 2023 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerified email at jhu.edu
