| Visual tracking and recognition using appearance-adaptive models in particle filters SK Zhou, R Chellappa, B Moghaddam Image Processing, IEEE Transactions on 13 (11), 1491-1506, 2004 | 949 | 2004 |
| FaceNet2ExpNet: Regularizing a deep face recognition net for expression recognition H Ding, SK Zhou, R Chellappa 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 419 | 2017 |
| Probabilistic recognition of human faces from video SK Zhou, V Krueger, R Chellappa Computer Vision and Image Understanding 91 (1), 214-245, 2003 | 382 | 2003 |
| A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises SK Zhou, H Greenspan, C Davatzikos, JS Duncan, B van Ginneken, ... Proceedings of the IEEE, 2021 | 357 | 2021 |
| Automatic liver segmentation using an adversarial image-to-image network D Yang, D Xu, SK Zhou, B Georgescu, M Chen, S Grbic, D Metaxas, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 282 | 2017 |
| Deep Learning for Medical Image Analysis SK Zhou, H Greenspan, D Shen Elservier / Academic Press, 2017 | 267 | 2017 |
| From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel Hilbert space SK Zhou, R Chellappa Pattern Analysis and Machine Intelligence, IEEE Transactions on 28 (6), 917-929, 2006 | 237 | 2006 |
| Combo loss: Handling input and output imbalance in multi-organ segmentation SA Taghanaki, Y Zheng, SK Zhou, B Georgescu, P Sharma, D Xu, ... Computerized Medical Imaging and Graphics 75, 24-33, 2019 | 217 | 2019 |
| Hierarchical, learning-based automatic liver segmentation H Ling, SK Zhou, Y Zheng, B Georgescu, M Suehling, D Comaniciu 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 196 | 2008 |
| Learning to prune filters in convolutional neural networks Q Huang, SK Zhou, S You, U Neumann 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 709-718, 2018 | 190 | 2018 |
| Learning to recognize abnormalities in chest x-rays with location-aware dense networks S Guendel, S Grbic, B Georgescu, SK Zhou, S Liu, A Maier, D Comaniciu arXiv preprint arXiv:1803.04565, 2018 | 176 | 2018 |
| Hierarchical parsing and semantic navigation of full body CT data S Seifert, A Barbu, SK Zhou, D Liu, J Feulner, M Huber, M Suehling, ... SPIE–Medical Imaging Conference,(7258), 725902-725902, 2009 | 174 | 2009 |
| Image based regression using boosting method SK Zhou, B Georgescu, XS Zhou, D Comaniciu Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005 | 160 | 2005 |
| 3D anisotropic hybrid network: Transferring convolutional features from 2D images to 3D anisotropic volumes S Liu, D Xu, SK Zhou, O Pauly, S Grbic, T Mertelmeier, J Wicklein, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 155 | 2018 |
| Appearance characterization of linear lambertian objects, generalized photometric stereo, and illumination-invariant face recognition SK Zhou, G Aggarwal, R Chellappa, DW Jacobs Pattern Analysis and Machine Intelligence, IEEE Transactions on 29 (2), 230-245, 2007 | 145 | 2007 |
| Spine detection in CT and MR using iterated marginal space learning BM Kelm, M Wels, SK Zhou, S Seifert, M Suehling, Y Zheng, D Comaniciu Medical image analysis 17 (8), 1283-1292, 2013 | 136 | 2013 |
| DuDoNet: Dual domain network for CT metal artifact reduction WA Lin, H Liao, C Peng, X Sun, J Zhang, J Luo, R Chellappa, SK Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 129 | 2019 |
| ADN: Artifact disentanglement network for unsupervised metal artifact reduction H Liao, WA Lin, SK Zhou, J Luo IEEE Trans. Medical Imaging 37 (6), 1322–1332, 2019 | 127 | 2019 |
| Cross-domain synthesis of medical images using efficient location-sensitive deep network H Van Nguyen, SK Zhou, R Vemulapalli International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 125 | 2015 |
| Handbook of Medical Image Computing and Computer Assisted Intervention SK Zhou, D Rueckert, G Fichtinger Elsevier / Academic Press, 2019 | 121 | 2019 |
