S. Kevin Zhou
S. Kevin Zhou
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Cited by
Cited by
Visual tracking and recognition using appearance-adaptive models in particle filters
SK Zhou, R Chellappa, B Moghaddam
IEEE Transactions on Image Processing 13 (11), 1491-1506, 2004
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 109 (5), 820-838, 2021
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
Probabilistic recognition of human faces from video
SK Zhou, V Krueger, R Chellappa
Computer Vision and Image Understanding 91 (1), 214-245, 2003
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
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
<< Deep Learning for Medical Image Analysis >>
SK Zhou, H Greenspan, D Shen
Elservier / Academic Press, 2017
MONAI: An open-source framework for deep learning in healthcare
MJ Cardoso, W Li, etal
arXiv preprint arXiv:2211.02701, 2022
From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel Hilbert space
SK Zhou, R Chellappa
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (6), 917-929, 2006
Shallow attention network for polyp segmentation
J Wei, Y Hu, R Zhang, Z Li, SK Zhou, S Cui
International Conference on Medical Image Computing and Computer-Assisted …, 2021
<< Handbook of Medical Image Computing and Computer Assisted Intervention >>
SK Zhou, D Rueckert, G Fichtinger
Elsevier / Academic Press, 2019
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
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
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
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
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
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
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
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
Appearance characterization of linear lambertian objects, generalized photometric stereo, and illumination-invariant face recognition
SK Zhou, G Aggarwal, R Chellappa, DW Jacobs
IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (2), 230-245, 2007
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