| 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 | 955 | 2004 |
| 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 | 804 | 2021 |
| 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 | 492 | 2017 |
| MONAI: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, etal arXiv preprint arXiv:2211.02701, 2022 | 443 | 2022 |
| 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 | 392 | 2019 |
| Probabilistic recognition of human faces from video S Kevin Zhou, V Krueger, R Chellappa Computer Vision and Image Understanding 91 (1), 214-245, 2003 | 388 | 2003 |
| << Deep Learning for Medical Image Analysis >> S Kevin Zhou, H Greenspan, D Shen Elservier / Academic Press, 2017 | 342* | 2017 |
| 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 | 338 | 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 | 273 | 2021 |
| 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 | 242 | 2006 |
| << Handbook of Medical Image Computing and Computer Assisted Intervention >> S Kevin Zhou, D Rueckert, G Fichtinger Elsevier / Academic Press, 2019 | 238* | 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 | 233 | 2018 |
| 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 | 226 | 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 | 226 | 2018 |
| 3D anisotropic hybrid network: Transferring convolutional features from 2D images to 3D anisotropic volumes S Liu, D Xu, S Kevin Zhou, O Pauly, S Grbic, T Mertelmeier, J Wicklein, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 197 | 2018 |
| Hierarchical, learning-based automatic liver segmentation H Ling, S Kevin Zhou, Y Zheng, B Georgescu, M Suehling, D Comaniciu 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 196 | 2008 |
| 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 | 195 | 2019 |
| Hierarchical parsing and semantic navigation of full body CT data S Seifert, A Barbu, S Kevin Zhou, D Liu, J Feulner, M Huber, M Suehling, ... SPIE–Medical Imaging Conference,(7258), 725902-725902, 2009 | 179 | 2009 |
| 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 | 169 | 2023 |
| Image based regression using boosting method S Kevin Zhou, B Georgescu, XS Zhou, D Comaniciu Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005 | 169 | 2005 |
