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ORCIDShaohua Kevin Zhou
S. Kevin Zhou
Person information
- affiliation: Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, China
- affiliation: Siemens Corporate Technology, Imaging and Computer Vision
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2020 – today
- 2025
[j54]Kaiyan Li
, Jingyuan Yang, Wenxuan Liang, Xingde Li, Chenxi Zhang, Lulu Chen, Chan Wu, Xiao Zhang, Zhiyan Xu, Yueling Wang, Lihui Meng, Yue Zhang, Youxin Chen, S. Kevin Zhou:
O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision. Medical Image Anal. 99: 103319 (2025)- 2024
- [j53]Tingting Wu, Chaoyan Huang, Shilong Jia, Wei Li, Raymond Chan, Tieyong Zeng, S. Kevin Zhou:
Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization. Appl. Math. Comput. 477: 128795 (2024) - [j52]Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S. Kevin Zhou:
PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement. Int. J. Comput. Assist. Radiol. Surg. 19(5): 939-950 (2024) - [j51]Hao Qiu, Zhihao Yu, Tiange Zhao, Qi Zhang, Mingsheng Xu, Peifeng Li, Taotao Li, Wenzhong Bao, Yang Chai, Shula Chen, Yiqi Chen, Hui-Ming Cheng, Daoxin Dai, Zengfeng Di, Zhuo Dong, Xidong Duan, Yuhan Feng, Yu Fu, Jingshu Guo, Pengwen Guo, Yue Hao, Jun He, Xiao He, Jingyi Hu, Weida Hu, Zehua Hu, Xinyue Huang, Ziyang Huang, Ali Imran, Ziqiang Kong, Jia Li, Qian Li, Weisheng Li, Lei Liao, Bilu Liu, Can Liu, Chunsen Liu, Guanyu Liu, Kaihui Liu, Liwei Liu, Sheng Liu, Yuan Liu, Donglin Lu, Likuan Ma, Feng Miao, Zhenhua Ni, Jing Ning, Anlian Pan, Tian-Ling Ren, Haowen Shu, Litao Sun, Yue Sun, Quanyang Tao, Ziao Tian, Dong Wang, Hao Wang, Haomin Wang, Jialong Wang, Junyong Wang, Wenhui Wang, Xingjun Wang, Yeliang Wang, Yuwei Wang, Zhenyu Wang, Yao Wen, Haidi Wu, Hongzhao Wu, Jiangbin Wu, Yanqing Wu, Longfei Xia, Baixu Xiang, Luwen Xing, Qihua Xiong, Xiong Xiong, Jeffrey Xu, Tao Xu, Yang Xu, Liu Yang, Yi Yang, Yuekun Yang, Lei Ye, Yu Ye, Bin Yu, Ting Yu, Hui Zeng, Guangyu Zhang, Hongyun Zhang, Jincheng Zhang, Kai Zhang, Tao Zhang, Xinbo Zhang, Yanfeng Zhang, Chunsong Zhao, Yuda Zhao, Ting Zheng, Peng Zhou, Shaohua Kevin Zhou, Yuxuan Zhu, Deren Yang, Yi Shi, Han Wang, Xinran Wang:
Two-dimensional materials for future information technology: status and prospects. Sci. China Inf. Sci. 67(6) (2024) - [j50]Quan Quan, Qingsong Yao, Heqin Zhu, Qiyuan Wang, S. Kevin Zhou:
Which images to label for few-shot medical image analysis? Medical Image Anal. 96: 103200 (2024) - [j49]Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou:
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. Medical Image Anal. 98: 103300 (2024) - [j48]Yang Deng, Zhiwei Ji, Yijun Wang, S. Kevin Zhou:
OS-SSVEP: One-shot SSVEP classification. Neural Networks 180: 106734 (2024) - [j47]Zezhong Ding, Yongan Xiang, Shangyou Wang, Xike Xie, S. Kevin Zhou:
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning. Proc. ACM Manag. Data 2(3): 162 (2024) - [j46]Yukun Cao, Yuan Feng, Hairu Wang, Xike Xie, S. Kevin Zhou:
Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7136-7153 (2024) - [j45]Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou:
Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism. IEEE Trans. Medical Imaging 43(4): 1284-1295 (2024) - [j44]Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image With Hierarchical Feature Hiding. IEEE Trans. Medical Imaging 43(4): 1296-1307 (2024) - [j43]Wenxuan Tu, Shaohua Kevin Zhou, Xinwang Liu, Chunpeng Ge, Zhiping Cai, Yue Liu:
Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16748-16761 (2024) - [c202]Jun Wei, S. Kevin Zhou, Shuguang Cui, Zhen Li:
WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection. AAAI 2024: 5894-5902 - [c201]Haoran Lai, Qingsong Yao, Zihang Jiang, Rongsheng Wang, Zhiyang He, Xiaodong Tao, S. Kevin Zhou:
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification. CVPR 2024: 11137-11146 - [c200]Wenlong Chen, Chuanwen Feng, Ao Ke, Xike Xie, S. Kevin Zhou:
Out-of-Distribution Detection for Learning-Based Chest X-Ray Diagnosis. ICASSP 2024: 1816-1820 - [c199]Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S. Kevin Zhou:
Mayfly: a Neural Data Structure for Graph Stream Summarization. ICLR 2024 - [c198]Quan Li, Xike Xie, Chao Wang, S. Kevin Zhou:
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models. IJCAI 2024: 4452-4460 - [c197]Yilong Ren, Chuanwen Feng, Xike Xie, S. Kevin Zhou:
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning. IJCAI 2024: 4851-4859 - [c196]Ziqi Gao, S. Kevin Zhou:
Rethinking Dual-Domain Undersampled MRI Reconstruction: Domain-Specific Design from the Perspective of the Receptive Field. ISBI 2024: 1-5 - [c195]Haoran Lai, Qingsong Yao, Zhiyang He, Xiaodong Tao, S. Kevin Zhou:
Long-Tailed Multi-Label Classification with Noisy Label of Thoracic Diseases from Chest X-Ray. ISBI 2024: 1-5 - [c194]Dai Sun, Lan Li, Hongyu Qiu, Zhao Zhang, Shang Zhao, S. Kevin Zhou:
DNA-DIR: 2D-3D Geometry Embedding for Intraoperative Partial-to-Full Registration. ISBI 2024: 1-5 - [c193]Fenghe Tang, Jianrui Ding, Quan Quan, Lingtao Wang, Chunping Ning, S. Kevin Zhou:
CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion. ISBI 2024: 1-5 - [c192]Chunjiang Wang, Yunjie Gu, Pengbo Liu, Shang Zhao, S. Kevin Zhou:
E-DM: Evaluating Diffusion Model by Conformal Prediction. ISBI 2024: 1-5 - [c191]Qingsong Yao, Zecheng He, Xiaodong Yu, S. Kevin Zhou:
Nowhere to Hide: Toward Robust Reactive Medical Adversarial Defense. ISBI 2024: 1-5 - [c190]Xueming Fu, Yingtai Li, Fenghe Tang, Jun Li, Mingyue Zhao, Gao-Jun Teng, S. Kevin Zhou:
3DGR-CAR: Coronary Artery Reconstruction from Ultra-sparse 2D X-Ray Views with a 3D Gaussians Representation. MICCAI (7) 2024: 14-24 - [c189]Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou:
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. MICCAI (11) 2024: 330-340 - [c188]Xinyi Wang, Zikang Xu, Heqin Zhu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou:
SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection. MICCAI (1) 2024: 338-348 - [c187]Hao Zhang, Mingyue Zhao, Mingzhu Liu, Jiejun Luo, Yu Guan, Jin Zhang, Yi Xia, Di Zhang, Xiuxiu Zhou, Li Fan, Shiyuan Liu, S. Kevin Zhou:
Hierarchical Multiple Instance Learning for COPD Grading with Relatively Specific Similarity. MICCAI (1) 2024: 536-545 - [c186]Ziyuan Zhao, Fen Fang, Xulei Yang, Qianli Xu, Cuntai Guan, S. Kevin Zhou:
See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos. MICCAI (6) 2024: 553-563 - [c185]Jinfeng Wang, Sifan Song, Jionglong Su, S. Kevin Zhou:
Distortion-Disentangled Contrastive Learning. WACV 2024: 75-85 - [i138]Chuanwen Feng, Wenlong Chen, Ao Ke, Yilong Ren, Xike Xie, S. Kevin Zhou:
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport. CoRR abs/2401.11726 (2024) - [i137]Ziqi Gao, S. Kevin Zhou:
U2MRPD: Unsupervised undersampled MRI reconstruction by prompting a large latent diffusion model. CoRR abs/2402.10609 (2024) - [i136]Haoran Lai, Qingsong Yao, Zihang Jiang, Rongsheng Wang, Zhiyang He, Xiaodong Tao, S. Kevin Zhou:
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification. CoRR abs/2402.17417 (2024) - [i135]Zezhong Ding, Yongan Xiang, Shangyou Wang, Xike Xie, S. Kevin Zhou:
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning. CoRR abs/2402.18304 (2024) - [i134]Jinfeng Wang, Sifan Song, Xinkun Wang, Yiyi Wang, Yiyi Miao, Jionglong Su, S. Kevin Zhou:
ProMISe: Promptable Medical Image Segmentation using SAM. CoRR abs/2403.04164 (2024) - [i133]Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, S. Kevin Zhou:
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation. CoRR abs/2403.05114 (2024) - [i132]Ziqi Gao, Yue Zhang, Xinwen Liu, Kaiyan Li, S. Kevin Zhou:
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction. CoRR abs/2403.05256 (2024) - [i131]Mingyue Zhao, Han Li, Li Fan, Shiyuan Liu, Xiaolan Qiu, S. Kevin Zhou:
Skeleton Supervised Airway Segmentation. CoRR abs/2403.06510 (2024) - [i130]Qiyuan Wang, Yanzhe Liu, Shang Zhao, Rong Liu, S. Kevin Zhou:
WeakSurg: Weakly supervised surgical instrument segmentation using temporal equivariance and semantic continuity. CoRR abs/2403.09551 (2024) - [i129]Wendi Yang, Zihang Jiang, Shang Zhao, S. Kevin Zhou:
PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery. CoRR abs/2403.12473 (2024) - [i128]Chenhe Du, Xiyue Lin, Qing Wu, Xuanyu Tian, Ying Su, Zhe Luo, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang:
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction. CoRR abs/2404.17890 (2024) - [i127]Qing Wu, Xu Guo, Lixuan Chen, Dongming He, Hongjiang Wei, Xudong Wang, S. Kevin Zhou, Yifeng Zhang, Jingyi Yu, Yuyao Zhang:
Unsupervised Density Neural Representation for CT Metal Artifact Reduction. CoRR abs/2405.07047 (2024) - [i126]Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou:
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. CoRR abs/2405.12223 (2024) - [i125]Sifan Song, Jinfeng Wang, Qiaochu Zhao, Xiang Li, Dufan Wu, Angelos Stefanidis, Jionglong Su, S. Kevin Zhou, Quanzheng Li:
Contrastive Learning Via Equivariant Representation. CoRR abs/2406.00262 (2024) - [i124]Ruinan Jin, Zikang Xu, Yuan Zhong, Qiongsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li:
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. CoRR abs/2407.00983 (2024) - [i123]Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S. Kevin Zhou:
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference. CoRR abs/2407.11550 (2024) - [i122]Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou:
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training. CoRR abs/2408.05815 (2024) - [i121]Fenghe Tang, Bingkun Nian, Yingtai Li, Jie Yang, Liu Wei, S. Kevin Zhou:
MambaMIM: Pre-training Mamba with State Space Token-interpolation. CoRR abs/2408.08070 (2024) - [i120]Yukun Cao, Shuo Han, Zengyi Gao, Zezhong Ding, Xike Xie, S. Kevin Zhou:
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding. CoRR abs/2409.03258 (2024) - [i119]Jiahua Dong, Yue Zhang, Qiuli Wang, Ruofeng Tong, Shihong Ying, Shaolin Gong, Xuanpu Zhang, Lanfen Lin, Yen-Wei Chen, S. Kevin Zhou:
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels. CoRR abs/2409.05024 (2024) - [i118]Qiyuan Wang, Shang Zhao, Zikang Xu, S. Kevin Zhou:
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation. CoRR abs/2409.09360 (2024) - 2023
- [j42]Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. Kevin Zhou:
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Anal. 85: 102762 (2023) - [j41]Shuxin Yang, Xian Wu, Shen Ge, Zhuozhao Zheng, S. Kevin Zhou, Li Xiao:
Radiology report generation with a learned knowledge base and multi-modal alignment. Medical Image Anal. 86: 102798 (2023) - [j40]Rui Yan, Yijun Shen, Xueyuan Zhang, Peihang Xu, Jun Wang, Jintao Li, Fei Ren, Dingwei Ye, S. Kevin Zhou:
Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning. Medical Image Anal. 87: 102824 (2023) - [j39]Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, Jun Hou, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu:
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. Medical Image Anal. 90: 102993 (2023) - [j38]Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(3): 633-646 (2023) - [j37]Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen:
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. IEEE Trans. Medical Imaging 42(5): 1546-1562 (2023) - [j36]Yue Zhang, Chengtao Peng, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, S. Kevin Zhou:
Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting. IEEE Trans. Medical Imaging 42(10): 3091-3103 (2023) - [c184]Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou:
UOD: Universal One-Shot Detection of Anatomical Landmarks. MICCAI (1) 2023: 24-34 - [c183]Peiang Zhao, Han Li, Ruiyang Jin, S. Kevin Zhou:
DiffULD: Diffusive Universal Lesion Detection. MICCAI (5) 2023: 94-105 - [c182]Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou:
FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification. MICCAI (2) 2023: 307-317 - [c181]Long Chen, Han Li, S. Kevin Zhou:
Label-Free Nuclei Segmentation Using Intra-Image Self Similarity. MICCAI (6) 2023: 673-682 - [c180]Jun Wei, Yiwen Hu, Shuguang Cui, S. Kevin Zhou, Zhen Li:
WeakPolyp: You only Look Bounding Box for Polyp Segmentation. MICCAI (3) 2023: 757-766 - [c179]Ce Wang, Kun Shang, Haimiao Zhang, Shang Zhao, Dong Liang, S. Kevin Zhou:
Active CT Reconstruction with a Learned Sampling Policy. ACM Multimedia 2023: 7226-7235 - [c178]Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang:
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction. NeurIPS 2023 - [c177]Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S. Kevin Zhou, Lawrence H. Staib, James S. Duncan:
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. NeurIPS 2023 - [i117]Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan:
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. CoRR abs/2302.01735 (2023) - [i116]Pengbo Liu, Mengke Sun, S. Kevin Zhou:
Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation. CoRR abs/2302.03911 (2023) - [i115]Han Li, Hu Han, S. Kevin Zhou:
Mixed-order self-paced curriculum learning for universal lesion detection. CoRR abs/2302.04677 (2023) - [i114]Jinfeng Wang, Sifan Song, Jionglong Su, S. Kevin Zhou:
Distortion-Disentangled Contrastive Learning. CoRR abs/2303.05066 (2023) - [i113]Jun Li, Kexin Li, Yafeng Zhou, S. Kevin Zhou:
O2CTA: Introducing Annotations from OCT to CCTA in Coronary Plaque Analysis. CoRR abs/2303.06358 (2023) - [i112]Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou:
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification. CoRR abs/2303.08325 (2023) - [i111]Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou:
Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism. CoRR abs/2303.08416 (2023) - [i110]Mingyue Zhao, Shang Zhao, Quan Quan, Li Fan, Xiaolan Qiu, Shiyuan Liu, S. Kevin Zhou:
GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision. CoRR abs/2303.09212 (2023) - [i109]Ziqi Gao, S. Kevin Zhou:
DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction. CoRR abs/2303.10611 (2023) - [i108]Xinwen Liu, Jing Wang, S. Kevin Zhou, Craig Engstrom, Shekhar S. Chandra:
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction. CoRR abs/2303.13810 (2023) - [i107]Yujia Li, Jiong Shi, S. Kevin Zhou:
Causal Image Synthesis of Brain MR in 3D. CoRR abs/2303.14349 (2023) - [i106]Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu:
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising. CoRR abs/2304.00570 (2023) - [i105]Yue Zhang, Chengtao Peng, Qiuli Wang, Dan Song, Kaiyan Li, S. Kevin Zhou:
Unified Multi-Modal Image Synthesis for Missing Modality Imputation. CoRR abs/2304.05340 (2023) - [i104]Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, S. Kevin Zhou:
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models. CoRR abs/2304.13416 (2023) - [i103]Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. CoRR abs/2305.06978 (2023) - [i102]Quan Quan, Shang Zhao, Qingsong Yao, Heqin Zhu, S. Kevin Zhou:
Unsupervised augmentation optimization for few-shot medical image segmentation. CoRR abs/2306.05107 (2023) - [i101]Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, Shaohua Kevin Zhou:
UOD: Universal One-shot Detection of Anatomical Landmarks. CoRR abs/2306.07615 (2023) - [i100]Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang:
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction. CoRR abs/2306.15203 (2023) - [i99]Jun Wei, Yiwen Hu, Shuguang Cui, S. Kevin Zhou, Zhen Li:
WeakPolyp: You Only Look Bounding Box for Polyp Segmentation. CoRR abs/2307.10912 (2023) - [i98]Fenghe Tang, Jianrui Ding, Lingtao Wang, Chunping Ning, S. Kevin Zhou:
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion. CoRR abs/2308.01239 (2023) - [i97]Yang Deng, Zhiwei Ji, Yijun Wang, S. Kevin Zhou:
Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification. CoRR abs/2311.07932 (2023) - [i96]Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou:
Slide-SAM: Medical SAM Meets Sliding Window. CoRR abs/2311.10121 (2023) - [i95]Peiang Zhao, Han Li, Ruiyang Jin, S. Kevin Zhou:
LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis. CoRR abs/2311.12342 (2023) - [i94]Haoran Lai, Qingsong Yao, Zhiyang He, Xiaodong Tao, S. Kevin Zhou:
Long-tailed multi-label classification with noisy label of thoracic diseases from chest X-ray. CoRR abs/2311.17334 (2023) - [i93]Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image with Hierarchical Feature Hiding. CoRR abs/2312.01679 (2023) - [i92]Fenghe Tang, Bingkun Nian, Jianrui Ding, Quan Quan, Jie Yang, Wei Liu, S. Kevin Zhou:
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation. CoRR abs/2312.01740 (2023) - [i91]Bingkun Nian, Fenghe Tang, Jianrui Ding, Pingping Zhang, Jie Yang, S. Kevin Zhou, Wei Liu:
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution. CoRR abs/2312.01741 (2023) - [i90]Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, S. Kevin Zhou:
Inspecting Model Fairness in Ultrasound Segmentation Tasks. CoRR abs/2312.02501 (2023) - [i89]Rongsheng Wang, Qingsong Yao, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou:
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training. CoRR abs/2312.13316 (2023) - [i88]Yingtai Li, Xueming Fu, Shang Zhao, Ruiyang Jin, S. Kevin Zhou:
Sparse-view CT Reconstruction with 3D Gaussian Volumetric Representation. CoRR abs/2312.15676 (2023) - 2022
- [j35]Bo Zhou, Xiongchao Chen, S. Kevin Zhou, James S. Duncan, Chi Liu:
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography. Medical Image Anal. 75: 102289 (2022) - [j34]Luyi Han, Yuanyuan Lyu, Cheng Peng, S. Kevin Zhou:
GAN-based disentanglement learning for chest X-ray rib suppression. Medical Image Anal. 77: 102369 (2022) - [j33]Shuxin Yang, Xian Wu, Shen Ge, S. Kevin Zhou, Li Xiao:
Knowledge matters: Chest radiology report generation with general and specific knowledge. Medical Image Anal. 80: 102510 (2022) - [j32]Bo Zhou, Xiongchao Chen, Huidong Xie, S. Kevin Zhou, James S. Duncan, Chi Liu:
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction. IEEE Trans. Medical Imaging 41(12): 3587-3599 (2022) - [c176]Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao:
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. COLING 2022: 2952-2961 - [c175]Quan Quan, Qingsong Yao, Jun Li, S. Kevin Zhou:
Which images to label for few-shot medical landmark detection? CVPR 2022: 20574-20584 - [c174]Jun Wei, Sheng Wang, S. Kevin Zhou, Shuguang Cui, Zhen Li:
Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency. ECCV (30) 2022: 195-210 - [c173]Yuanqi Du, Quan Quan, Hu Han, S. Kevin Zhou:
Semi-Supervised Pseudo-Healthy Image Synthesis via Confidence Augmentation. ISBI 2022: 1-4 - [c172]Yang Lin, Hu Han, S. Kevin Zhou:
Deep Non-Linear Embedding Deformation Network for Cross-Modal Brain MRI Synthesis. ISBI 2022: 1-5 - [c171]Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou:
Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising. MICCAI (8) 2022: 13-23 - [c170]Jiuwen Zhu, Yuexiang Li, Lian Ding, S. Kevin Zhou:
Aggregative Self-supervised Feature Learning from Limited Medical Images. MICCAI (8) 2022: 57-66 - [c169]Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S. Kevin Zhou, Zhen Li:
BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations. MICCAI (3) 2022: 67-77 - [c168]Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, S. Kevin Zhou:
DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction. MLMIR@MICCAI 2022: 84-94 - [c167]Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. MICCAI (5) 2022: 128-139 - [c166]Han Li, Long Chen, Hu Han, S. Kevin Zhou:
SATr: Slice Attention with Transformer for Universal Lesion Detection. MICCAI (3) 2022: 163-174 - [c165]Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou:
Undersampled MRI Reconstruction with Side Information-Guided Normalisation. MICCAI (6) 2022: 323-333 - [c164]Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal M. Patel, Rama Chellappa:
Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling. MICCAI (6) 2022: 623-633 - [c163]Yihua Sun, Qingsong Yao, Yuanyuan Lyu, Jianji Wang, Yi Xiao, Hongen Liao, S. Kevin Zhou:
Rib Suppression in Digital Chest Tomosynthesis. MICCAI (1) 2022: 696-706 - [c162]Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding, Xingwang Wu, S. Kevin Zhou:
Learning Incrementally to Segment Multiple Organs in a CT Image. MICCAI (4) 2022: 714-724 - [i87]Qingsong Yao, Jianji Wang, Yihua Sun, Quan Quan, Heqin Zhu, S. Kevin Zhou:
Relative distance matters for one-shot landmark detection. CoRR abs/2203.01687 (2022) - [i86]Pengbo Liu, Yang Deng, Ce Wang, Yuan Hui, Qian Li, Jun Li, Shiwei Luo, Mengke Sun, Quan Quan, Shuxin Yang, You Hao, Honghu Xiao, Chunpeng Zhao, Xinbao Wu, S. Kevin Zhou:
Universal Segmentation of 33 Anatomies. CoRR abs/2203.02098 (2022) - [i85]Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding, Xingwang Wu, S. Kevin Zhou:
Learning Incrementally to Segment Multiple Organs in a CT Image. CoRR abs/2203.02100 (2022) - [i84]Jun Li, Quan Quan, S. Kevin Zhou:
MixCL: Pixel label matters to contrastive learning. CoRR abs/2203.02114 (2022) - [i83]Shang Zhao, Ce Wang, Qiyuan Wang, Yanzhe Liu, S. Kevin Zhou:
3D endoscopic depth estimation using 3D surface-aware constraints. CoRR abs/2203.02131 (2022) - [i82]Yihua Sun, Qingsong Yao, Yuanyuan Lyu, Jianji Wang, Yi Xiao, Hongen Liao, S. Kevin Zhou:
Rib Suppression in Digital Chest Tomosynthesis. CoRR abs/2203.02772 (2022) - [i81]Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou:
Undersampled MRI Reconstruction with Side Information-Guided Normalisation. CoRR abs/2203.03196 (2022) - [i80]Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa:
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling. CoRR abs/2203.04292 (2022) - [i79]Quan Quan, Qiyuan Wang, Yuanqi Du, Liu Li, S. Kevin Zhou:
Recovering medical images from CT film photos. CoRR abs/2203.05567 (2022) - [i78]Heqin Zhu, Xu Sun, Yuexiang Li, Kai Ma, S. Kevin Zhou, Yefeng Zheng:
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection. CoRR abs/2203.06429 (2022) - [i77]Heqin Zhu, Qingsong Yao, S. Kevin Zhou:
DATR: Domain-adaptive transformer for multi-domain landmark detection. CoRR abs/2203.06433 (2022) - [i76]Han Li, Long Chen, Hu Han, S. Kevin Zhou:
SATr: Slice Attention with Transformer for Universal Lesion Detection. CoRR abs/2203.07373 (2022) - [i75]Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. Kevin Zhou:
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. CoRR abs/2206.01136 (2022) - [i74]Cheng Peng, Haofu Liao, S. Kevin Zhou, Rama Chellappa:
REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition. CoRR abs/2208.08048 (2022) - [i73]Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou:
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising. CoRR abs/2208.14022 (2022) - [i72]Zikang Xu, Jun Li, Qingsong Yao, Han Li, Xin Shi, S. Kevin Zhou:
A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges. CoRR abs/2209.13177 (2022) - [i71]Cheng Peng, S. Kevin Zhou, Rama Chellappa:
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images. CoRR abs/2210.05117 (2022) - [i70]Ce Wang, Kun Shang, Haimiao Zhang, Shang Zhao, Dong Liang, S. Kevin Zhou:
Active CT Reconstruction with a Learned Sampling Policy. CoRR abs/2211.01670 (2022) - [i69]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - [i68]Quan Quan, Qingsong Yao, Jun Li, S. Kevin Zhou:
Information-guided pixel augmentation for pixel-wise contrastive learning. CoRR abs/2211.07118 (2022) - [i67]Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao:
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. CoRR abs/2211.13229 (2022) - [i66]Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation. CoRR abs/2212.02078 (2022) - [i65]Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S. Kevin Zhou, Zhen Li:
BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations. CoRR abs/2212.03498 (2022) - [i64]Shang Zhao, Yanzhe Liu, Qiyuan Wang, Dai Sun, Rong Liu, S. Kevin Zhou:
MURPHY: Relations Matter in Surgical Workflow Analysis. CoRR abs/2212.12719 (2022) - 2021
- [j31]Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou:
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. Int. J. Comput. Assist. Radiol. Surg. 16(5): 749-756 (2021) - [j30]Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou:
Marginal loss and exclusion loss for partially supervised multi-organ segmentation. Medical Image Anal. 70: 101979 (2021) - [j29]Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan:
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. Medical Image Anal. 71: 102041 (2021) - [j28]S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache:
Deep reinforcement learning in medical imaging: A literature review. Medical Image Anal. 73: 102193 (2021) - [j27]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE 109(5): 820-838 (2021) - [j26]Jiancheng Cai, Hu Han, Jiyun Cui, Jie Chen, Li Liu, S. Kevin Zhou:
Semi-Supervised Natural Face De-Occlusion. IEEE Trans. Inf. Forensics Secur. 16: 1044-1057 (2021) - [j25]Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu:
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer. IEEE Trans. Medical Imaging 40(7): 1792-1804 (2021) - [j24]Xiao-Yong Wei, Zhen-Qun Yang, Xu-Lu Zhang, Ga Liao, Ailin Sheng, S. Kevin Zhou, Yongkang Wu, Liang Du:
Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis. IEEE Trans. Medical Imaging 40(7): 1898-1910 (2021) - [j23]Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou:
Label-Free Segmentation of COVID-19 Lesions in Lung CT. IEEE Trans. Medical Imaging 40(10): 2808-2819 (2021) - [c161]Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. AAAI 2021: 436-444 - [c160]Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui:
Shallow Feature Matters for Weakly Supervised Object Localization. CVPR 2021: 5993-6001 - [c159]Hao Lu, Hu Han, S. Kevin Zhou:
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement. CVPR 2021: 12404-12413 - [c158]Rui Yan, Jintao Li, S. Kevin Zhou, Zhilong Lv, Xueyuan Zhang, Xiaosong Rao, Chunhou Zheng, Fei Ren, Fa Zhang:
Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification. ICIC (3) 2021: 198-207 - [c157]Yuanyuan Lyu, Haofu Liao, Heqin Zhu, S. Kevin Zhou:
A3DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation. IPMI 2021: 360-372 - [c156]Ruochen Gao, Zhihui Hou, Jun Li, Hu Han, Bin Lu, S. Kevin Zhou:
Joint Coronary Centerline Extraction And Lumen Segmentation From Ccta Using Cnntracker And Vascular Graph Convolutional Network. ISBI 2021: 1897-1901 - [c155]Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. MICCAI (3) 2021: 36-47 - [c154]Cheng Peng, S. Kevin Zhou, Rama Chellappa:
DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images. MICCAI (6) 2021: 75-85 - [c153]Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou:
You only Learn Once: Universal Anatomical Landmark Detection. MICCAI (5) 2021: 85-95 - [c152]Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin Zhou:
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation. MICCAI (6) 2021: 86-96 - [c151]Han Li, Long Chen, Hu Han, Ying Chi, S. Kevin Zhou:
Conditional Training with Bounding Map for Universal Lesion Detection. MICCAI (5) 2021: 141-152 - [c150]Qingsong Yao, Quan Quan, Li Xiao, S. Kevin Zhou:
One-Shot Medical Landmark Detection. MICCAI (2) 2021: 177-188 - [c149]Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou:
Universal Undersampled MRI Reconstruction. MICCAI (6) 2021: 211-221 - [c148]Yuanyuan Lyu, Jiajun Fu, Cheng Peng, S. Kevin Zhou:
U-DuDoNet: Unpaired Dual-Domain Network for CT Metal Artifact Reduction. MICCAI (6) 2021: 296-306 - [c147]Mengda Guan, Yuanyuan Lyu, Wanyue Cao, Xingwang Wu, Jingjing Lu, S. Kevin Zhou:
Perceptual Quality Assessment of Chest Radiograph. MICCAI (7) 2021: 315-324 - [c146]Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S. Kevin Zhou, Shuguang Cui:
Shallow Attention Network for Polyp Segmentation. MICCAI (1) 2021: 699-708 - [c145]Jie Chen, Qixiang Ye, Xiaoshan Yang, S. Kevin Zhou, Xiaopeng Hong, Li Zhang:
Few-shot Learning for Multi-Modality Tasks. ACM Multimedia 2021: 5673-5674 - [i63]Pengbo Liu, Li Xiao, S. Kevin Zhou:
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets. CoRR abs/2103.04526 (2021) - [i62]Qingsong Yao, Quan Quan, Li Xiao, S. Kevin Zhou:
One-Shot Medical Landmark Detection. CoRR abs/2103.04527 (2021) - [i61]Yuanyuan Lyu, Jiajun Fu, Cheng Peng, S. Kevin Zhou:
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction. CoRR abs/2103.04552 (2021) - [i60]Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou:
You Only Learn Once: Universal Anatomical Landmark Detection. CoRR abs/2103.04657 (2021) - [i59]S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache:
Deep reinforcement learning in medical imaging: A literature review. CoRR abs/2103.05115 (2021) - [i58]Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou:
Universal Undersampled MRI Reconstruction. CoRR abs/2103.05214 (2021) - [i57]Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin Zhou:
Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation. CoRR abs/2103.05255 (2021) - [i56]Han Li, Long Chen, Hu Han, S. Kevin Zhou:
Conditional Training with Bounding Map for Universal Lesion Detection. CoRR abs/2103.12277 (2021) - [i55]Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou:
Pathological Image Segmentation with Noisy Labels. CoRR abs/2104.02602 (2021) - [i54]Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan:
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration. CoRR abs/2104.07056 (2021) - [i53]Yang Deng, Ce Wang, Yuan Hui, Qian Li, Jun Li, Shiwei Luo, Mengke Sun, Quan Quan, Shuxin Yang, You Hao, Pengbo Liu, Honghu Xiao, Chunpeng Zhao, Xinbao Wu, S. Kevin Zhou:
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography. CoRR abs/2105.14711 (2021) - [i52]Yuanqi Du, Quan Quan, Hu Han, S. Kevin Zhou:
Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image. CoRR abs/2106.15345 (2021) - [i51]Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui:
Shallow Feature Matters for Weakly Supervised Object Localization. CoRR abs/2108.00873 (2021) - [i50]Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S. Kevin Zhou, Shuguang Cui:
Shallow Attention Network for Polyp Segmentation. CoRR abs/2108.00882 (2021) - [i49]Luyi Han, Yuanyuan Lyu, Cheng Peng, S. Kevin Zhou:
GAN-based disentanglement learning for chest X-ray rib suppression. CoRR abs/2110.09134 (2021) - [i48]Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, Yuan Hui, S. Kevin Zhou:
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction. CoRR abs/2111.10790 (2021) - [i47]Qingsong Yao, Zecheng He, S. Kevin Zhou:
Medical Aegis: Robust adversarial protectors for medical images. CoRR abs/2111.10969 (2021) - [i46]Quan Quan, Qingsong Yao, Jun Li, S. Kevin Zhou:
Which images to label for few-shot medical landmark detection? CoRR abs/2112.04386 (2021) - [i45]Shuxin Yang, Xian Wu, Shen Ge, Shaohua Kevin Zhou, Li Xiao:
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge. CoRR abs/2112.15009 (2021) - [i44]Shuxin Yang, Xian Wu, Shen Ge, Xingwang Wu, S. Kevin Zhou, Li Xiao:
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment. CoRR abs/2112.15011 (2021) - 2020
- [j22]Jiuwen Zhu, Yuexiang Li, Yifan Hu, Kai Ma, S. Kevin Zhou, Yefeng Zheng:
Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis. Medical Image Anal. 64: 101746 (2020) - [j21]Haofu Liao, Wei-An Lin, S. Kevin Zhou, Jiebo Luo:
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction. IEEE Trans. Medical Imaging 39(3): 634-643 (2020) - [j20]Han Li, Hu Han, Zeju Li, Lei Wang, Zhe Wu, Jingjing Lu, S. Kevin Zhou:
High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors. IEEE Trans. Medical Imaging 39(10): 3053-3063 (2020) - [c144]Bo Zhou, S. Kevin Zhou:
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior. CVPR 2020: 4272-4281 - [c143]Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou:
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis. CVPR 2020: 7747-7756 - [c142]Zengming Shen, Yifan Chen, Shaohua Kevin Zhou, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang:
Learning A Self-Inverse Network for Bidirectional Mri Image Synthesis. ISBI 2020: 1765-1769 - [c141]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [c140]Wenzhe Wang, Qingyu Song, Jiarong Zhou, Ruiwei Feng, Tingting Chen, Wenhao Ge, Danny Z. Chen, S. Kevin Zhou, Weilin Wang, Jian Wu:
Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT. MICCAI (1) 2020: 64-73 - [c139]Yuanyuan Lyu, Wei-An Lin, Haofu Liao, Jingjing Lu, S. Kevin Zhou:
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography. MICCAI (2) 2020: 147-157 - [c138]Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen:
BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. MICCAI (5) 2020: 289-298 - [c137]Han Li, Hu Han, S. Kevin Zhou:
Bounding Maps for Universal Lesion Detection. MICCAI (4) 2020: 417-428 - [c136]Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou:
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. MICCAI (4) 2020: 692-702 - [c135]Cheng Peng, Wei-An Lin, Rama Chellappa, S. Kevin Zhou:
Towards multi-sequence MR image recovery from undersampled k-space data. MIDL 2020: 614-623 - [c134]Zengming Shen, Yifan Chen, Thomas S. Huang, S. Kevin Zhou, Bogdan Georgescu, Xuqi Liu:
One-to-one Mapping for Unpaired Image-to-image Translation. WACV 2020: 1159-1168 - [e11]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12261, Springer 2020, ISBN 978-3-030-59709-2 [contents] - [e10]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12262, Springer 2020, ISBN 978-3-030-59712-2 [contents] - [e9]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12263, Springer 2020, ISBN 978-3-030-59715-3 [contents] - [e8]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12264, Springer 2020, ISBN 978-3-030-59718-4 [contents] - [e7]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V. Lecture Notes in Computer Science 12265, Springer 2020, ISBN 978-3-030-59721-4 [contents] - [e6]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI. Lecture Notes in Computer Science 12266, Springer 2020, ISBN 978-3-030-59724-5 [contents] - [e5]Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Lecture Notes in Computer Science 12267, Springer 2020, ISBN 978-3-030-59727-6 [contents] - [e4]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents] - [i43]Yuanyuan Lyu, Haofu Liao, Heqin Zhu, Shaohua Kevin Zhou:
Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images. CoRR abs/2001.00339 (2020) - [i42]Yuanyuan Lyu, Wei-An Lin, Jingjing Lu, Shaohua Kevin Zhou:
DuDoNet++: Encoding mask projection to reduce CT metal artifacts. CoRR abs/2001.00340 (2020) - [i41]Ce Wang, S. Kevin Zhou, Zhiwei Cheng:
First image then video: A two-stage network for spatiotemporal video denoising. CoRR abs/2001.00346 (2020) - [i40]Bo Zhou, S. Kevin Zhou:
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior. CoRR abs/2001.03799 (2020) - [i39]Jiuwen Zhu, Hu Han, S. Kevin Zhou:
Human Recognition Using Face in Computed Tomography. CoRR abs/2005.14238 (2020) - [i38]Jiuwen Zhu, Yuexiang Li, Yifan Hu, S. Kevin Zhou:
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning. CoRR abs/2006.05798 (2020) - [i37]Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou:
Marginal loss and exclusion loss for partially supervised multi-organ segmentation. CoRR abs/2007.03868 (2020) - [i36]Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou:
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. CoRR abs/2007.05225 (2020) - [i35]Han Li, Hu Han, S. Kevin Zhou:
Bounding Maps for Universal Lesion Detection. CoRR abs/2007.09383 (2020) - [i34]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR abs/2008.09104 (2020) - [i33]Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu:
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency. CoRR abs/2009.01782 (2020) - [i32]Qingsong Yao, Li Xiao, Peihang Liu, S. Kevin Zhou:
Label-Free Segmentation of COVID-19 Lesions in Lung CT. CoRR abs/2009.06456 (2020) - [i31]Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, Shaohua Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. CoRR abs/2012.02407 (2020) - [i30]Jiuwen Zhu, Yuexiang Li, S. Kevin Zhou:
Aggregative Self-Supervised Feature Learning. CoRR abs/2012.07477 (2020) - [i29]Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou:
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models. CoRR abs/2012.08721 (2020) - [i28]Quan Quan, Qiyuan Wang, Liu Li, Yuanqi Du, S. Kevin Zhou:
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models. CoRR abs/2012.09491 (2020) - [i27]Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. CoRR abs/2012.09501 (2020)
2010 – 2019
- 2019
- [j19]Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh:
Combo loss: Handling input and output imbalance in multi-organ segmentation. Comput. Medical Imaging Graph. 75: 24-33 (2019) - [c133]Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou:
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. CVPR 2019: 10512-10521 - [c132]Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, Shaohua Kevin Zhou:
Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation. CVPR 2019: 12638-12647 - [c131]Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo:
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction. MICCAI (6) 2019: 77-85 - [c130]Haofu Liao, Wei-An Lin, Jianbo Yuan, Shaohua Kevin Zhou, Jiebo Luo:
Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction. MICCAI (6) 2019: 203-211 - [c129]Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou:
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. MICCAI (6) 2019: 275-283 - [c128]Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, Shaohua Kevin Zhou:
3D U2-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation. MICCAI (2) 2019: 291-299 - [c127]Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI 2019: 417-425 - [p4]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Sasa Grbic, Weidong Cai, Dorin Comaniciu:
Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 199-216 - [e3]Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le:
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11795, Springer 2019, ISBN 978-3-030-33390-4 [contents] - [i26]Haofu Liao, Wei-An Lin, Jianbo Yuan, Shaohua Kevin Zhou, Jiebo Luo:
Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction. CoRR abs/1906.01806 (2019) - [i25]Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou:
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. CoRR abs/1907.00273 (2019) - [i24]Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo:
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction. CoRR abs/1907.00294 (2019) - [i23]Haofu Liao, Wei-An Lin, Shaohua Kevin Zhou, Jiebo Luo:
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction. CoRR abs/1908.01104 (2019) - [i22]Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, Shaohua Kevin Zhou:
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement. CoRR abs/1908.05599 (2019) - [i21]Cheng Peng, Wei-An Lin, Rama Chellappa, Shaohua Kevin Zhou:
Towards multi-sequence MR image recovery from undersampled k-space data. CoRR abs/1908.05615 (2019) - [i20]Zengming Shen, Yifan Chen, Shaohua Kevin Zhou, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang:
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation. CoRR abs/1909.04104 (2019) - [i19]Zengming Shen, Shaohua Kevin Zhou, Yifan Chen, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang:
One-to-one Mapping for Unpaired Image-to-image Translation. CoRR abs/1909.04110 (2019) - [i18]Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, Shaohua Kevin Zhou:
3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation. CoRR abs/1909.06012 (2019) - [i17]Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, Shaohua Kevin Zhou:
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. CoRR abs/1909.12922 (2019) - 2018
- [c126]Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa:
A Deep Cascade Network for Unaligned Face Attribute Classification. AAAI 2018: 6789-6796 - [c125]Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, Shaohua Kevin Zhou:
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. ACCV (1) 2018: 382-397 - [c124]Haofu Liao, Zhimin Huo, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo:
Adversarial Sparse-View CBCT Artifact Reduction. MICCAI (1) 2018: 154-162 - [c123]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 - [c122]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 - [c121]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 - [c120]Qiangui Huang, Shaohua Kevin Zhou, Suya You, Ulrich Neumann:
Learning to Prune Filters in Convolutional Neural Networks. WACV 2018: 709-718 - [i16]Qiangui Huang, Shaohua Kevin Zhou, Suya You, Ulrich Neumann:
Learning to Prune Filters in Convolutional Neural Networks. CoRR abs/1801.07365 (2018) - [i15]Sebastian Gündel, Sasa Grbic, Bogdan Georgescu, Shaohua Kevin Zhou, Ludwig Ritschl, Andreas Meier, Dorin Comaniciu:
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. CoRR abs/1803.04565 (2018) - [i14]Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR abs/1804.05181 (2018) - [i13]Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh:
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. CoRR abs/1805.02798 (2018) - [i12]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. CoRR abs/1805.10376 (2018) - [i11]Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, Shaohua Kevin Zhou:
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. CoRR abs/1812.03252 (2018) - [i10]Haofu Liao, Zhimin Huo, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo:
Adversarial Sparse-View CBCT Artifact Reduction. CoRR abs/1812.03503 (2018) - [i9]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. CoRR abs/1812.03507 (2018) - 2017
- [c119]Hui Ding, Shaohua Kevin Zhou, Rama Chellappa:
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition. FG 2017: 118-126 - [c118]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 - [c117]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 - [c116]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 - [c115]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 - [p3]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 - [e2]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] - [i8]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. CoRR abs/1705.05998 (2017) - [i7]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. CoRR abs/1707.08037 (2017) - [i6]Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa:
A Deep Cascade Network for Unaligned Face Attribute Classification. CoRR abs/1709.03851 (2017) - [i5]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Sasa Grbic, Olivier Pauly, Weidong Cai, Dorin Comaniciu:
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. CoRR abs/1711.08580 (2017) - 2016
- [c114]Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou:
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. MICCAI (2) 2016: 487-495 - [i4]Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou:
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. CoRR abs/1607.01855 (2016) - [i3]Hui Ding, Shaohua Kevin Zhou, Rama Chellappa:
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition. CoRR abs/1609.06591 (2016) - [i2]Qiangui Huang, Weiyue Wang, Shaohua Kevin Zhou, Suya You, Ulrich Neumann:
Scene Labeling using Recurrent Neural Networks with Explicit Long Range Contextual Dependency. CoRR abs/1611.07485 (2016) - 2015
- [j18]Qian Wang, Le Lu, Dijia Wu, Noha Youssry El-Zehiry, Yefeng Zheng, Dinggang Shen, Shaohua Kevin Zhou:
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement. IEEE Trans. Medical Imaging 34(8): 1694-1704 (2015) - [c113]Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou:
Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. ICCV 2015: 630-638 - [c112]Hien Van Nguyen, Shaohua Kevin Zhou, Raviteja Vemulapalli:
Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network. MICCAI (1) 2015: 677-684 - [r2]Rama Chellappa, Gaurav Aggarwal, Shaohua Kevin Zhou:
Face Recognition, Video-Based. Encyclopedia of Biometrics 2015: 514-521 - 2014
- [j17]Shaohua Kevin Zhou:
Discriminative anatomy detection: Classification vs regression. Pattern Recognit. Lett. 43: 25-38 (2014) - [j16]Michal Sofka, Jingdan Zhang, Sara Good, Shaohua Kevin Zhou, Dorin Comaniciu:
Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN). IEEE Trans. Medical Imaging 33(5): 1054-1070 (2014) - [c111]Dijia Wu, Michal Sofka, Neil Birkbeck, Shaohua Kevin Zhou:
Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. MICCAI (1) 2014: 372-380 - [c110]Neil Birkbeck, Timo Kohlberger, Jingdan Zhang, Michal Sofka, Jens N. Kaftan, Dorin Comaniciu, Shaohua Kevin Zhou:
Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints. MICCAI (1) 2014: 804-811 - 2013
- [j15]Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou:
Recognizing Interactive Group Activities Using Temporal Interaction Matrices and Their Riemannian Statistics. Int. J. Comput. Vis. 101(2): 305-328 (2013) - [j14]Johannes Feulner, Shaohua Kevin Zhou, Matthias Hammon, Joachim Hornegger, Dorin Comaniciu:
Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior. Medical Image Anal. 17(2): 254-270 (2013) - [j13]B. Michael Kelm, Michael Wels, Shaohua Kevin Zhou, Sascha Seifert, Michael Sühling, Yefeng Zheng, Dorin Comaniciu:
Spine detection in CT and MR using iterated marginal space learning. Medical Image Anal. 17(8): 1283-1292 (2013) - [c109]Dirk Breitenreicher, Michal Sofka, Stefan Britzen, Shaohua Kevin Zhou:
Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images. IPMI 2013: 328-339 - [c108]Nathan Lay, Neil Birkbeck, Jingdan Zhang, Shaohua Kevin Zhou:
Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models. IPMI 2013: 450-462 - [c107]Paul Swoboda, David Liu, Shaohua Kevin Zhou:
Anatomical landmark detection using multiple instance boosting with spatial regularization. ISBI 2013: 218-221 - [c106]Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou:
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. MCV 2013: 105-115 - [c105]Noha Youssry El-Zehiry, Michelle Yan, Sara Good, Tong Fang, Shaohua Kevin Zhou, Leo J. Grady:
Learning the Manifold of Quality Ultrasound Acquisition. MICCAI (1) 2013: 122-130 - [c104]Jin Hyeong Park, Michal Sofka, SunMi Lee, Daeyoung Kim, Shaohua Kevin Zhou:
Automatic Nuchal Translucency Measurement from Ultrasonography. MICCAI (3) 2013: 243-250 - [i1]Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou:
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. CoRR abs/1307.2965 (2013) - 2012
- [j12]Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu:
Automatic Detection and Segmentation of Lymph Nodes From CT Data. IEEE Trans. Medical Imaging 31(2): 240-250 (2012) - [c103]Dijia Wu, David Liu, Michael Sühling, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou:
Automatic detection of liver lesion from 3D computed tomography images. CVPR Workshops 2012: 31-37 - [c102]Dijia Wu, David Liu, Zoltan Puskas, Chao Lu, Andreas Wimmer, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou:
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images. CVPR 2012: 980-987 - [c101]Shaolei Feng, Shaohua Kevin Zhou, Wesley Lee:
Automatic fetal weight estimation using 3D ultrasonography. Medical Imaging: Computer-Aided Diagnosis 2012: 83150I - [c100]Jin Hyeong Park, Shaolei Feng, Shaohua Kevin Zhou:
Automatic computation of 2D cardiac measurements from B-mode echocardiography. Medical Imaging: Computer-Aided Diagnosis 2012: 83151E - [c99]Dijia Wu, David Liu, Michael Sühling, Shaohua Kevin Zhou, Christian Tietjen:
A Cascade Learning Method for Liver Lesion Detection in CT Images. MCV 2012: 206-214 - [c98]David Liu, Shaohua Kevin Zhou:
Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization. MICCAI (3) 2012: 393-401 - [c97]Chao Lu, Yefeng Zheng, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Christian Tietjen, Thomas Boettger, James S. Duncan, Shaohua Kevin Zhou:
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. MICCAI (2) 2012: 462-469 - 2011
- [j11]Johannes Feulner, Shaohua Kevin Zhou, Elli Angelopoulou, Sascha Seifert, Alexander Cavallaro, Joachim Hornegger, Dorin Comaniciu:
Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region. Comput. Medical Imaging Graph. 35(3): 227-236 (2011) - [j10]Johannes Feulner, Shaohua Kevin Zhou, Matthias Hammon, Sascha Seifert, Martin Huber, Dorin Comaniciu, Joachim Hornegger, Alexander Cavallaro:
A Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans. IEEE Trans. Medical Imaging 30(6): 1252-1264 (2011) - [c96]Neil Birkbeck, Michal Sofka, Shaohua Kevin Zhou:
Fast boosting trees for classification, pose detection, and boundary detection on a GPU. CVPR Workshops 2011: 36-41 - [c95]Wen Wu, Terrence Chen, Peng Wang, Shaohua Kevin Zhou, Dorin Comaniciu, Adrian Barbu, Norbert Strobel:
Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. CVPR 2011: 1097-1104 - [c94]Michal Sofka, Kristof Ralovich, Neil Birkbeck, Jingdan Zhang, Shaohua Kevin Zhou:
Integrated Detection Network (IDN) for pose and boundary estimation in medical images. ISBI 2011: 294-299 - [c93]Peng Wang, Shaohua Kevin Zhou, Murrill Szucs:
Endocardium tracking by fusing optical flows in straightened images with learning based detections. ISBI 2011: 512-515 - [c92]María Jimena Costa, Alexey Tsymbal, William Nguatem, Michael Sühling, Shaohua Kevin Zhou, Dorin Comaniciu:
A method for mass candidate detection and an application to liver lesion detection. Medical Imaging: Computer-Aided Diagnosis 2011: 79630R - [c91]Shaolei Feng, Xiaoyan Xiang, Shaohua Kevin Zhou, Roee Lazebnik:
Search for the best matching ultrasound frame based on spatial and temporal saliencies. Medical Imaging: Computer-Aided Diagnosis 2011: 79630N - [c90]B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu:
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. MICCAI (3) 2011: 25-32 - [c89]Johannes Feulner, Shaohua Kevin Zhou, Matthias Hammon, Joachim Hornegger, Dorin Comaniciu:
Segmentation Based Features for Lymph Node Detection from 3-D Chest CT. MLMI 2011: 91-99 - [c88]Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou:
Automatic Contrast Phase Estimation in CT Volumes. MICCAI (3) 2011: 166-174 - [c87]Timo Kohlberger, Michal Sofka, Jingdan Zhang, Neil Birkbeck, Jens Wetzl, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou:
Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. MICCAI (3) 2011: 338-345 - [c86]Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu:
Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. MICCAI (3) 2011: 403-410 - [c85]Yefeng Zheng, Tianzhou Wang, Matthias John, Shaohua Kevin Zhou, Jan M. Boese, Dorin Comaniciu:
Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. MICCAI (3) 2011: 487-495 - [c84]Michal Sofka, Jens Wetzl, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou:
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. MICCAI (3) 2011: 667-674 - [c83]Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu:
Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data. Medical Imaging: Image-Guided Procedures 2011: 79640L - [c82]Yefeng Zheng, Maciej Loziczonek, Bogdan Georgescu, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu:
Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes. Medical Imaging: Image Processing 2011: 79621K - [p2]Rama Chellappa, Ming Du, Pavan K. Turaga, Shaohua Kevin Zhou:
Face Tracking and Recognition in Video. Handbook of Face Recognition 2011: 323-351 - 2010
- [j9]Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou:
Learning Discriminative Distance Functions for Case Retrieval and Decision Support. Trans. Case Based Reason. 3(1): 1-16 (2010) - [j8]Shaohua Kevin Zhou:
Shape regression machine and efficient segmentation of left ventricle endocardium from 2D B-mode echocardiogram. Medical Image Anal. 14(4): 563-581 (2010) - [j7]Jie Shao, Shaohua Kevin Zhou, Rama Chellappa:
Robust Height Estimation of Moving Objects From Uncalibrated Videos. IEEE Trans. Image Process. 19(8): 2221-2232 (2010) - [c81]Jan Egger, Shaohua Kevin Zhou, Stefan Großkopf, David Liu, Christian Hopfgartner, Dominik Bernhardt, Christina Biermann, Christopher Nimsky, Bernd Freisleben:
Body landmark detection for a fully automatic AAA stent graft planning software system. CBMS 2010: 364-369 - [c80]Michal Sofka, Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu:
Multiple object detection by sequential monte carlo and Hierarchical Detection Network. CVPR 2010: 1735-1742 - [c79]David Liu, Shaohua Kevin Zhou, Dominik Bernhardt, Dorin Comaniciu:
Search strategies for multiple landmark detection by submodular maximization. CVPR 2010: 2831-2838 - [c78]Johannes Feulner, Shaohua Kevin Zhou, Martin Huber, Joachim Hornegger, Dorin Comaniciu, Alexander Cavallaro:
Lymph node detection in 3-D chest CT using a spatial prior probability. CVPR 2010: 2926-2932 - [c77]Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou:
Learning Discriminative Distance Functions for Case Retrieval and Decision Support. ICDM (Workshops) 2010: 65-80 - [c76]Jingdan Zhang, Shaohua Kevin Zhou, Shelby Brunke, Carol Lowery, Dorin Comaniciu:
Detection and retrieval of cysts in joint ultrasound B-mode and elasticity breast images. ISBI 2010: 173-176 - [c75]Wei Zhang, Jin Hyeong Park, Shaohua Kevin Zhou:
Auto-biometric for M-mode echocardiography. Medical Imaging: Computer-Aided Diagnosis 2010: 76240L - [c74]Jingdan Zhang, Shaohua Kevin Zhou, Shelby Brunke, Carol Lowery, Dorin Comaniciu:
Database-guided breast tumor detection and segmentation in 2D ultrasound images. Medical Imaging: Computer-Aided Diagnosis 2010: 762405 - [c73]Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu:
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images. MLMI 2010: 1-9 - [c72]Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu:
Automatic Detection and Segmentation of Axillary Lymph Nodes. MICCAI (1) 2010: 28-36 - [c71]Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin Zhou, Dorin Comaniciu:
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization. MLMI 2010: 84-91 - [c70]Johannes Feulner, Shaohua Kevin Zhou, Martin Huber, Alexander Cavallaro, Joachim Hornegger, Dorin Comaniciu:
Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map. MICCAI (1) 2010: 95-102 - [c69]B. Michael Kelm, Shaohua Kevin Zhou, Michael Sühling, Yefeng Zheng, Michael Wels, Dorin Comaniciu:
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. MCV 2010: 96-105 - [c68]Peng Wang, Wei-shing Liao, Terrence Chen, Shaohua Kevin Zhou, Dorin Comaniciu:
Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy. MICCAI (3) 2010: 269-277 - [c67]Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Martin Huber, Andrew Mayall Taylor, Silvia Schievano, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu:
Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging. MICCAI (1) 2010: 460-467 - [c66]Yefeng Zheng, Matthias John, Rui Liao, Jan M. Boese, Uwe Kirschstein, Bogdan Georgescu, Shaohua Kevin Zhou, Jörg Kempfert, Thomas Walther, Gernot Brockmann:
Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation. MICCAI (1) 2010: 476-483 - [c65]Wei Zhang, Frederic Mantlic, Shaohua Kevin Zhou:
Automatic landmark detection and scan range delimitation for topogram images using hierarchical network. Medical Imaging: Image Processing 2010: 762311 - [c64]Ingmar Voigt, Dime Vitanovski, Razvan Ioan Ionasec, Alexey Tsymbal, Bogdan Georgescu, Shaohua Kevin Zhou, Martin Huber, Nassir Navab, Joachim Hornegger, Dorin Comaniciu:
Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease. Medical Imaging: Image Processing 2010: 762314
2000 – 2009
- 2009
- [j6]Jian Li, Shaohua Kevin Zhou, Rama Chellappa:
Appearance Modeling Using a Geometric Transform. IEEE Trans. Image Process. 18(4): 889-902 (2009) - [c63]Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaohua Kevin Zhou, Michael Scheuering, Dorin Comaniciu:
Constrained marginal space learning for efficient 3D anatomical structure detection in medical images. CVPR 2009: 194-201 - [c62]Peng Wang, Terrence Chen, Ying Zhu, Wei Zhang, Shaohua Kevin Zhou, Dorin Comaniciu:
Robust guidewire tracking in fluoroscopy. CVPR 2009: 691-698 - [c61]Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou:
Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition. CVPR 2009: 2450-2457 - [c60]Shaolei Feng, Shaohua Kevin Zhou, Sara Good, Dorin Comaniciu:
Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information. CVPR 2009: 2488-2495 - [c59]Terrence Chen, Wei Zhang, Sara Good, Shaohua Kevin Zhou, Dorin Comaniciu:
Automatic ovarian follicle quantification from 3D ultrasound data using global/local context with database guided segmentation. ICCV 2009: 795-802 - [c58]Birkan Tunç, Shaohua Kevin Zhou, Jin Hyeong Park, Muhittin Gökmen:
Context ranking machine and its application to rigid localization of deformable objects. ICIP 2009: 3633-3636 - [c57]Alexey Tsymbal, Gabor Rendes, Martin Huber, Shaohua Kevin Zhou:
The Neighborhood Graph for Clinical Case Retrieval and Decision Support within Health-e-Child CaseReasoner. LWA 2009: FGWM:49-56 - [c56]Wei Zhang, Haibin Ling, Simone Prummer, Shaohua Kevin Zhou, Martin Ostermeier, Dorin Comaniciu:
Coronary Tree Extraction Using Motion Layer Separation. MICCAI (1) 2009: 116-123 - [c55]Johannes Feulner, Shaohua Kevin Zhou, Alexander Cavallaro, Sascha Seifert, Joachim Hornegger, Dorin Comaniciu:
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model. MICCAI (1) 2009: 255-262 - [c54]Johannes Feulner, Shaohua Kevin Zhou, Sascha Seifert, Alexander Cavallaro, Joachim Hornegger, Dorin Comaniciu:
Estimating the body portion of CT volumes by matching histograms of visual words. Medical Imaging: Image Processing 2009: 72591V - [c53]Sascha Seifert, Adrian Barbu, Shaohua Kevin Zhou, David Liu, Johannes Feulner, Martin Huber, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu:
Hierarchical parsing and semantic navigation of full body CT data. Medical Imaging: Image Processing 2009: 725902 - [c52]Razvan Ioan Ionasec, Alexey Tsymbal, Dime Vitanovski, Bogdan Georgescu, Shaohua Kevin Zhou, Nassir Navab, Dorin Comaniciu:
Shape-based diagnosis of the aortic valve. Medical Imaging: Image Processing 2009: 725908 - [c51]Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou, Bao-Gang Hu:
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction. ECML/PKDD (2) 2009: 538-553 - [p1]Shaohua Kevin Zhou, Jie Shao, Bogdan Georgescu, Dorin Comaniciu:
Similarity Learning for Motion Estimation. Semantic Mining Technologies for Multimedia Databases 2009: 130-151 - [r1]Rama Chellappa, Gaurav Aggarwal, Shaohua Kevin Zhou:
Face Recognition, Video-Based. Encyclopedia of Biometrics 2009: 366-372 - 2008
- [c50]Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Michael Sühling, Dorin Comaniciu:
Hierarchical, learning-based automatic liver segmentation. CVPR 2008 - [c49]Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu, Leonard McMillan:
Conditional density learning via regression with application to deformable shape segmentation. CVPR 2008 - [c48]Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu, Leonard McMillan:
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study. ECCV (1) 2008: 711-724 - [c47]Jin Hyeong Park, Shaohua Kevin Zhou, Costas Simopoulos, Dorin Comaniciu:
AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram. MICCAI (2) 2008: 230-237 - [c46]Jin Hyeong Park, Shaohua Kevin Zhou, John Jackson, Dorin Comaniciu:
Automatic Mitral Valve Inflow Measurements from Doppler Echocardiography. MICCAI (1) 2008: 983-990 - 2007
- [j5]Xue Mei, Shaohua Kevin Zhou, Hao Wu, Fatih Porikli:
Integrated Detection, Tracking and Recognition for IR Video-based Vehicle Classification. J. Comput. 2(6): 1-8 (2007) - [j4]Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellappa, David W. Jacobs:
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 230-245 (2007) - [c45]Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMillan, Dorin Comaniciu:
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network. CVPR 2007 - [c44]Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu:
A boosting regression approach to medical anatomy detection. CVPR 2007 - [c43]Jin Hyeong Park, Shaohua Kevin Zhou, Costas Simopoulos, Joanne Otsuki, Dorin Comaniciu:
Automatic Cardiac View Classification of Echocardiogram. ICCV 2007: 1-8 - [c42]Hao Wu, Rama Chellappa, Aswin C. Sankaranarayanan, Shaohua Kevin Zhou:
Robust Visual Tracking Using the Time-Reversibility Constraint. ICCV 2007: 1-8 - [c41]Shaohua Kevin Zhou, Feng Guo, Gustavo Carneiro, John Jackson, M. Brendel, Costas Simopoulos, Joanne Otsuki, Dorin Comaniciu:
A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure. ICCV 2007: 1-8 - [c40]Xue Mei, Shaohua Kevin Zhou, Fatih Porikli:
Probabilistic Visual Tracking via Robust Template Matching and Incremental Subspace Update. ICME 2007: 1818-1821 - [c39]Shaohua Kevin Zhou, Dorin Comaniciu:
Shape Regression Machine. IPMI 2007: 13-25 - [c38]Alexey Tsymbal, Martin Huber, Sonja Zillner, Tamas Hauer, Shaohua Kevin Zhou:
Visualizing Patient Similarity in Clinical Decision Support. LWA 2007: 304-311 - [e1]Shaohua Kevin Zhou, Wenyi Zhao, Xiaoou Tang, Shaogang Gong:
Analysis and Modeling of Faces and Gestures, Third International Workshop, AMFG 2007, Rio de Janeiro, Brazil, October 20, 2007, Proceedings. Lecture Notes in Computer Science 4778, Springer 2007, ISBN 978-3-540-75689-7 [contents] - 2006
- [j3]Shaohua Kevin Zhou, Rama Chellappa:
From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 917-929 (2006) - [c37]Shaohua Kevin Zhou, Jin Hyeong Park, Bogdan Georgescu, Dorin Comaniciu, Costas Simopoulos, Joanne Otsuki:
Image-Based Multiclass Boosting and Echocardiographic View Classification. CVPR (2) 2006: 1559-1565 - [c36]Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comaniciu, Jie Shao:
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation. CVPR (2) 2006: 1761-1768 - [c35]Volker Krüger, Shaohua Kevin Zhou, Rama Chellappa:
Integrating Video Information over Time. Example: Face Recognition from Video. Cognitive Vision Systems 2006: 127-144 - [c34]Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, Shaohua Kevin Zhou, Dorin Comaniciu:
Example Based Non-rigid Shape Detection. ECCV (4) 2006: 423-436 - [c33]Xue Mei, Shaohua Kevin Zhou, Hao Wu:
Integrated Detection, Tracking and Recognition for IR Video-Based Vehicle Classification. ICASSP (5) 2006: 745-748 - [c32]Shaohua Kevin Zhou, Jie Shao, Bogdan Georgescu, Dorin Comaniciu:
Pairwise Active Appearance Model and Its Application to Echocardiography Tracking. MICCAI (1) 2006: 736-743 - 2005
- [b1]Rama Chellappa, Amit K. Roy-Chowdhury, Shaohua Kevin Zhou:
Recognition of Humans and Their Activities Using Video. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2005, ISBN 978-3-031-01108-5 - [c31]Shaohua Kevin Zhou:
A Binary Decision Tree Implementation of a Boosted Strong Classifier. AMFG 2005: 198-212 - [c30]Jie Shao, Shaohua Kevin Zhou, Rama Chellappa:
Tracking Algorithm Using Background-Foreground Motion Models and Multiple Cues. ICASSP (2) 2005: 233-236 - [c29]Xue Mei, Mahesh Ramachandran, Shaohua Kevin Zhou:
Video Background Retrieval using Mosaic Images. ICASSP (2) 2005: 441-444 - [c28]Mahesh Ramachandran, Shaohua Kevin Zhou, Divya Jhalani, Rama Chellappa:
A method for converting a smiling face to a neutral face with applications to face recognition. ICASSP (2) 2005: 977-980 - [c27]Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu:
Image Based Regression Using Boosting Method. ICCV 2005: 541-548 - [c26]Jian Li, Shaohua Kevin Zhou, Rama Chellappa:
Appearance Modeling Under Geometric Context. ICCV 2005: 1252-1259 - 2004
- [j2]Shaohua Kevin Zhou, Rama Chellappa, Baback Moghaddam:
Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Trans. Image Process. 13(11): 1491-1506 (2004) - [c25]Shaohua Kevin Zhou, Rama Chellappa:
Probabilistic Identity Characterization for Face Recognition. CVPR (2) 2004: 805-812 - [c24]Shaohua Kevin Zhou, Rama Chellappa, David W. Jacobs:
Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints. ECCV (1) 2004: 588-601 - [c23]Shaohua Kevin Zhou, Rama Chellappa:
Illuminating Light Field: Image-based Face Recognition Across Illuminations and Poses. FGR 2004: 229-234 - [c22]Shaohua Kevin Zhou, Rama Chellappa, Baback Moghaddam:
Intra-Personal Kernel Space for Face Recognition. FGR 2004: 235-240 - [c21]Zhanfeng Yue, Shaohua Kevin Zhou, Rama Chellappa:
Robust two-camera tracking using homography. ICASSP (3) 2004: 1-4 - [c20]Jie Shao, Shaohua Kevin Zhou, Rama Chellappa:
Appearance-based tracking and recognition using the 3D trilinear tensor. ICASSP (3) 2004: 613-616 - [c19]Jian Li, Shaohua Kevin Zhou:
Probabilistic face recognition from compressed imagery. ICASSP (5) 2004: 909-912 - [c18]Jie Shao, Shaohua Kevin Zhou, Rama Chellappa:
Simultaneous background and foreground modeling for tracking in surveillance video. ICIP 2004: 1053-1056 - [c17]Shaohua Kevin Zhou, Rama Chellappa:
Multiple-Exemplar Discriminant Analysis for Face Recognition. ICPR (4) 2004: 191-194 - [c16]Jie Shao, Shaohua Kevin Zhou, Qinfen Zheng:
Robust Appearance-Based Tracking of Moving Object from Moving Platform. ICPR (4) 2004: 215-218 - [c15]Shaohua Kevin Zhou:
Face Recognition Using More than One Still Image: What Is More? SINOBIOMETRICS 2004: 212-223 - 2003
- [j1]Shaohua Kevin Zhou, Volker Krüger, Rama Chellappa:
Probabilistic recognition of human faces from video. Comput. Vis. Image Underst. 91(1-2): 214-245 (2003) - [c14]Shaohua Kevin Zhou, Rama Chellappa:
Rank Constrained Recognition under Unknown Illuminations. AMFG 2003: 11-18 - [c13]Jian Li, Shaohua Kevin Zhou, Chandra Shekhar:
A comparison of subspace analysis for face recognition. ICASSP (3) 2003: 121-124 - [c12]Shaohua Kevin Zhou, Rama Chellappa:
Simultaneous tracking and recognition of human faces from video. ICASSP (3) 2003: 225-228 - [c11]Jian Li, Shaohua Kevin Zhou, Chandra Shekhar:
A comparison of subspace analysis for face recognition. ICME 2003: 121-124 - [c10]Shaohua Kevin Zhou, Rama Chellappa:
Simultaneous tracking and recognition of human faces from video. ICME 2003: 129-132 - [c9]Shaohua Kevin Zhou, Rama Chellappa, Baback Moghaddam:
Adaptive visual tracking and recognition using particle filters. ICME 2003: 349-352 - 2002
- [c8]Shaohua Kevin Zhou, Rama Chellappa:
Probabilistic Human Recognition from Video. ECCV (3) 2002: 681-697 - [c7]Volker Krüger, Shaohua Kevin Zhou:
Exemplar-Based Face Recognition from Video. ECCV (4) 2002: 732-746 - [c6]Volker Krüger, Shaohua Kevin Zhou:
Exemplar-Based Face Recognition from Video. FGR 2002: 182-187 - [c5]Shaohua Kevin Zhou, Volker Krüger, Rama Chellappa:
Face Recognition from Video: A CONDENSATION Approach. FGR 2002: 221-228 - [c4]Shaohua Kevin Zhou, Y. V. Venkatesh, C. C. Ko:
Synthesis of visual textures and perceptual asymmetry of visual texture perception. ICARCV 2002: 102-107 - [c3]Rama Chellappa, Shaohua Kevin Zhou, Baoxin Li:
Bayesian methods for face recognition from video. ICASSP 2002: 4068-4071 - [c2]Shaohua Kevin Zhou, Volker Krüger, Rama Chellappa:
Probabilistic recognition of human faces from video. ICIP (1) 2002: 41-44 - [c1]Shaohua Kevin Zhou, Rama Chellappa:
A Robust Algorithm for Probabilistic Human Recognition From. ICPR (1) 2002: 226-229
Coauthor Index
[j19] [c127] [p4] [c121] [i15] [i14] [i13] [c118] [c116] [c115] [i8] [i7] [i5] [j16] [c110] [j14] [j13] [j12] [j11] [j10] [c95] [c92] [c90] [c89] [c86] [c85] [c83] [c82] [c80] [c79] [c78] [c76] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c64] [c63] [c62] [c60] [c59] [c56] [c55] [c54] [c53] [c52] [p1] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c41] [c39] [c37] [c36] [c34] [c32] [c27]
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