Publications

2020:
C. Peng, W. Lin, R. Chellappa, and S. Kevin Zhou, “Towards multi-sequence MR image recovery from undersampled k-space data,” Medical Imaging with Deep Learning (MIDL) 2020. (oral, 12% acceptance)
Z. Shen, Y. Chen, S. Kevin Zhou, B. Georgescu, X. Liu and T.S. Huang, “Learning a self-inverse network for bidirectional MRI image synthesis,” IEEE 17th International Symposium on Biomedical Imaging (ISBI) 2020, pp. 1765-1769.
Q. Yao, Z. He, H. Han, and S. Kevin Zhou, “Miss the point: Targeted adversarial attack on multiple landmark detection,” to appear in MICCAI 2020.
Li, H. Han, and S. Kevin Zhou: Bounding maps for universal lesion detection. to appear in MICCAI 2020.
Huang, Y. Ding, G. Song, L. Wang, R. Geng, H. He, S. Du, X. Liu, Y. Tian, Y. Liang, S. Kevin Zhou, and J. Chen, BCData: A large-scale dataset and benchmark for cell detection and counting. to appear in MICCAI 2020.
 Y. Lyu, W. Lin, H. Liao, J. Lu, and S. Kevin Zhou: Encoding metal mask projection for metal artifact reduction in computed tomography. to appear in MICCAI 2020.
W. Wang, Q. Song, J. Zhou, R. Feng, T. Chen, W. Ge, D.Z. Chen, S. Kevin Zhou, W. Wang, and J. Wu: Dual-level selective transfer learning for intrahepatic cholangiocarcinoma segmentation in non-enhanced abdominal CT.  to appear in MICCAI 2020.
J. Zhu, Y. Li, Y. Hu, K. Ma, S. Kevin Zhou, Y. Zheng: Rubik’s Cube+: A Self-supervised Feature Learning Framework for 3D Medical Image Analysis. to appear in Med. Ima. Anal.
H. Li, H. Han, Z. Li, L. Wang, Z. Wu, J. Lu, and S. Kevin Zhou, High-Resolution Chest X-ray Bone Suppression Using Unpaired CT Structural Priors. IEEE Trans. on Medical Imaging, 2020.

Note: The Laplacian of Gaussian (LoG)  operator is designed according to the LoG definition [code].  We did not subtract its mean value to make its sum equal to 0, which is done by open-cv library function in python.

Supplementary Material

H. Liao, W.A. Lin, S. Kevin Zhou and J. Luo, ADN: Artifact disentanglement network for unsupervised metal artifact reduction. IEEE Trans. on Medical Imaging, Vol. 39, No. 3, pp. 634-643, 2020. (PMID: 31395543)
C. Peng, W.-A. Lin, H. Liao, R. Chellappa, S. Kevin Zhou, SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis. IEEE CVPR, 2020. (Accepted)
B. Zhou, S. Kevin Zhou, DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior. IEEE CVPR, 2020. (Accepted)
Z. Shen, S. Kevin Zhou, Y. Chen, B. Georgescu, X. Liu, and T.S. Huang, One-to-one mapping for unpaired image-to-image translation. IEEE WACV, 1170-1179, 2020.
2019:
S. Kevin Zhou, Daniel Rueckert, and Gabor Fichtinger (Eds.), Handbook of Medical Image Computing and Computer Assisted Intervention. Academic Press, 2019. MICCAI book series. (in press)
ISBN: 9780128161760
S. Kevin Zhou and Z. Xu, Landmark detection and multi-organ segmentation: Representations and supervised approaches. Handbook of Medical Image Computing and Computer Assisted Intervention, S. Kevin Zhou, D. Rueckert, and G. Fichtinger (Eds.), Academic Press, 2019.
D. Yang, T. Xiong, D. Xu and S. Kevin Zhou, Segmentation using adversarial image-to-image networks. Handbook of Medical Image Computing and Computer Assisted Intervention, S. Kevin Zhou, D. Rueckert, and G. Fichtinger (Eds.), Academic Press, 2019.
S. Taghanaki, Y. Zheng, S. Kevin Zhou, et al. and Ghassan Hamarneh, “Combo loss: Handling input and output imbalance in multi-organ segmentation,” Comp. Med. Imag. and Graph., Vol. 75, pp. 24-33, 2019.
Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin Zhou. Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition.  MICCAI 2019.
Chao Huang, Hu Han, Qingsong Yao,  Shankuan Zhu, S. Kevin Zhou. 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation.  MICCAI 2019.
Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, S. Kevin Zhou, Jiebo Luo. Generative Mask Pyramid Network forCT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction. MICCAI 2019.
Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo. Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction.  MICCAI 2019.
Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin Zhou: Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation. CVPR 2019: 12638-12647.
Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sunm, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou: DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. CVPR 2019: 10512-10521.
2018:
Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa: A Deep Cascade Network for Unaligned Face AttributeClassification. AAAI 2018: 6789-6796
Haofu Liao, Zhimin Huo, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo: Adversarial Sparse-View CBCT Artifact Reduction. MICCAI (1) 2018: 154-162
Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Shaohua Kevin Zhou:More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring. MICCAI (2) 2018: 535-543
Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou: Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. MICCAI (2) 2018: 711-719
Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu:3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. MICCAI (2) 2018: 851-858
Qiangui Huang, Shaohua Kevin Zhou, Suya You, Ulrich Neumann: Learning to Prune Filters in Convolutional Neural Networks. WACV 2018: 709-718
H. Liao, Y. Zheng, G. Funka-lea, J. Luo, S. Kevin Zhou, “Face completion with semantic knowledge and collaborative adversarial learning,” Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2018.
2017:
Hui Ding, Shaohua Kevin Zhou, Rama Chellappa:FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition. FG 2017: 118-126
Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu: Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. IPMI 2017: 633-644
Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou: Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. MICCAI (3) 2017: 338-346
Dong Yang, Tao Xiong, Daguang Xu, Shaohua Kevin Zhou, Zhoubing Xu, Mingqing Chen, Jin Hyeong Park, Sasa Grbic, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu: Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. MICCAI (3) 2017: 498-506
Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu: Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. MICCAI (3) 2017: 507-515
Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou: Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis. Deep Learning for Medical Image Analysis 2017: 381-403
Shaohua Kevin Zhou, Hayit Greenspan, Dinggang Shen: Deep Learning for Medical Image Analysis, 1st Edition. Academic Press 2017, ISBN 978-0-12-810408-8 [contents]