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S. Kevin Zhou
S. Kevin Zhou
Professor, USTC, FAIMBE, FIAMBE, FIEEE, FMICCAI, FNAI
Verified email at ustc.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
9542004
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
7942021
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
4902017
MONAI: An open-source framework for deep learning in healthcare
MJ Cardoso, W Li, etal
arXiv preprint arXiv:2211.02701, 2022
4232022
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
3892019
Probabilistic recognition of human faces from video
S Kevin Zhou, V Krueger, R Chellappa
Computer Vision and Image Understanding 91 (1), 214-245, 2003
3882003
<< Deep Learning for Medical Image Analysis >>
S Kevin Zhou, H Greenspan, D Shen
Elservier / Academic Press, 2017
340*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
3392017
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
2682021
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
2422006
<< Handbook of Medical Image Computing and Computer Assisted Intervention >>
S Kevin Zhou, D Rueckert, G Fichtinger
Elsevier / Academic Press, 2019
237*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
2322018
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
2262019
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
2252018
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
1972018
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
1962008
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
1952019
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
1792009
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
1702005
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
1672023
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