| A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S Kevin Zhou, H Greenspan, C Davatzikos, JS Duncan, B Van Ginneken, ... Proceedings of the IEEE 109 (5), 820-838, 2021 | 1370 | 2021 |
| MONAI: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, etal arXiv preprint arXiv:2211.02701, 2022 | 1119 | 2022 |
| Visual tracking and recognition using appearance-adaptive models in particle filters S Kevin Zhou, R Chellappa, B Moghaddam IEEE Transactions on Image Processing 13 (11), 1491-1506, 2004 | 963 | 2004 |
| Combo loss: Handling input and output imbalance in multi-organ segmentation SA Taghanaki, Y Zheng, S Kevin Zhou, B Georgescu, P Sharma, D Xu, ... Computerized Medical Imaging and Graphics 75, 24-33, 2019 | 522 | 2019 |
| FaceNet2ExpNet: Regularizing a deep face recognition net for expression recognition H Ding, S Kevin Zhou, R Chellappa 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 518 | 2017 |
| Shallow attention network for polyp segmentation J Wei, Y Hu, R Zhang, Z Li, S Kevin Zhou, S Cui International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 505 | 2021 |
| << Deep Learning for Medical Image Analysis >> S Kevin Zhou, H Greenspan, D Shen Academic Press, 2023 | 453 | 2023 |
| Probabilistic recognition of human faces from video S Kevin Zhou, V Krueger, R Chellappa Computer Vision and Image Understanding 91 (1), 214-245, 2003 | 402 | 2003 |
| Automatic liver segmentation using an adversarial image-to-image network D Yang, D Xu, S Kevin Zhou, B Georgescu, M Chen, S Grbic, D Metaxas, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 384 | 2017 |
| Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives J Li, J Chen, Y Tang, C Wang, BA Landman, S Kevin Zhou Medical Image Analysis, 102762, 2023 | 382 | 2023 |
| << Handbook of Medical Image Computing and Computer Assisted Intervention >> S Kevin Zhou, D Rueckert, G Fichtinger Academic Press, 2019 | 349 | 2019 |
| FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, et al. British Medicine Journal, 2025 | 330 | 2025 |
| DuDoNet: Dual domain network for CT metal artifact reduction WA Lin, H Liao, C Peng, X Sun, J Zhang, J Luo, R Chellappa, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 317 | 2019 |
| Learning to recognize abnormalities in chest x-rays with location-aware dense networks S Guendel, S Grbic, B Georgescu, S Kevin Zhou, S Liu, A Maier, ... arXiv preprint arXiv:1803.04565, 2018 | 271 | 2018 |
| ADN: Artifact disentanglement network for unsupervised metal artifact reduction H Liao, WA Lin, S Kevin Zhou, J Luo IEEE Trans. Medical Imaging 37 (6), 1322–1332, 2019 | 256 | 2019 |
| Learning to prune filters in convolutional neural networks Q Huang, S Kevin Zhou, S You, U Neumann 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 709-718, 2018 | 252 | 2018 |
| From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel Hilbert space S Kevin Zhou, R Chellappa IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (6), 917-929, 2006 | 252 | 2006 |
| Knowledge matters: Chest radiology report generation with general and specific knowledge S Yang, X Wu, S Ge, S Kevin Zhou, L Xiao Medical Image Analysis, 102510, 2022 | 243 | 2022 |
| Dual-GAN: Joint BVP and noise modeling for remote physiological measurement H Lu, H Han, S Kevin Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 240 | 2021 |
| Deep reinforcement learning in medical imaging: A literature review S Kevin Zhou, HN Le, K Luu, HV Nguyen, N Ayache Medical Image Analysis 73, 102193, 2021 | 227 | 2021 |
