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ORCIDShaoting Zhang 0001
Person information
- affiliation: Shanghai Artificial Intelligence Laboratory, China
- affiliation (former): SenseTime Research, Shanghai, China
- affiliation (2013- 2019): University of North Carolina at Charlotte, NC, USA
- affiliation (PhD 2012): Rutgers University, New Brunswick, NJ, USA
- affiliation (2005 - 2008): Shanghai Jiaotong University, School of Software, China
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2020 – today
- 2025
[j95]Wenhui Lei, Wei Xu, Kang Li, Xiaofan Zhang, Shaoting Zhang:
MedLSAM: Localize and segment anything model for 3D CT images. Medical Image Anal. 99: 103370 (2025)- [e4]Zhongying Deng
, Yiqing Shen, Hyunwoo J. Kim, Won-Ki Jeong, Angelica I. Avilés-Rivero, Junjun He, Shaoting Zhang:
Foundation Models for General Medical AI - Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15184, Springer 2025, ISBN 978-3-031-73470-0 [contents] - 2024
- [j94]Yijie Qu, Tao Lu, Shaoting Zhang, Guotai Wang:
ScribSD+: Scribble-supervised medical image segmentation based on simultaneous multi-scale knowledge distillation and class-wise contrastive regularization. Comput. Medical Imaging Graph. 116: 102416 (2024) - [j93]Jiangshan Lu, Ran Gu, Wenjun Liao, Shichuan Zhang, Huijun Yu, Shaoting Zhang, Guotai Wang:
Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation. Neurocomputing 599: 128115 (2024) - [j92]Shaoting Zhang, Dimitris N. Metaxas:
On the challenges and perspectives of foundation models for medical image analysis. Medical Image Anal. 91: 102996 (2024) - [j91]Wenji Wang, Qing Xia, Zhennan Yan, Zhiqiang Hu, Yinan Chen, Wen Zheng, Xiao Wang, Shaoping Nie, Dimitris N. Metaxas, Shaoting Zhang:
AVDNet: Joint coronary artery and vein segmentation with topological consistency. Medical Image Anal. 91: 102999 (2024) - [j90]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. Medical Image Anal. 95: 103199 (2024) - [j89]Meng Han, Xiangde Luo, Xiangjiang Xie, Wenjun Liao, Shichuan Zhang, Tao Song, Guotai Wang, Shaoting Zhang:
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation. Medical Image Anal. 97: 103274 (2024) - [j88]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97: 103280 (2024) - [j87]Yangfan Ni, Geng Chen, Zhan Feng, Heng Cui, Dimitris N. Metaxas, Shaoting Zhang, Wentao Zhu:
DA-Tran: Multiphase liver tumor segmentation with a domain-adaptive transformer network. Pattern Recognit. 149: 110233 (2024) - [j86]Lanfeng Zhong, Xiangde Luo, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency. Pattern Recognit. 152: 110492 (2024) - [j85]Wenhui Lei, Qi Su, Tianyu Jiang, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-Shot Weakly-Supervised Segmentation in 3D Medical Images. IEEE Trans. Medical Imaging 43(1): 175-189 (2024) - [j84]Lingyun Wu, Xiang Gao, Zhiqiang Hu, Shaoting Zhang:
Pattern-Aware Transformer: Hierarchical Pattern Propagation in Sequential Medical Images. IEEE Trans. Medical Imaging 43(1): 405-415 (2024) - [j83]Yiyue Li, Guangwu Qian, Xiaoshuang Jiang, Zekun Jiang, Wen Wen, Shaoting Zhang, Kang Li, Qicheng Lao:
Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets. IEEE Trans. Medical Imaging 43(1): 416-426 (2024) - [j82]Jianghao Wu, Dong Guo, Guotai Wang, Qiang Yue, Huijun Yu, Kang Li, Shaoting Zhang:
FPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 43(9): 3098-3109 (2024) - [c162]Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Xiaofan Zhang, Shaoting Zhang:
Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges. ACL (Findings) 2024: 2840-2861 - [c161]Jiawen Xie, Shaoting Zhang, Xiaofan Zhang:
GECSum: Generative Evaluation-Driven Sequence Level Contrastive Learning for Abstractive Summarization. LREC/COLING 2024: 7581-7595 - [c160]Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Zhang:
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting. CVPR 2024: 11386-11397 - [c159]Zhongzhen Huang, Linda Wei, Shaoting Zhang, Xiaofan Zhang:
Modality-Aware and Shift Mixer for Multi-Modal Brain Tumor Segmentation. ECAI 2024: 306-313 - [c158]Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, Xiaosong Wang:
Pathology-Knowledge Enhanced Multi-instance Prompt Learning for Few-Shot Whole Slide Image Classification. ECCV (11) 2024: 196-212 - [c157]Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. ISBI 2024: 1-5 - [c156]Xinya Liu, Jianghao Wu, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation. ISBI 2024: 1-5 - [c155]Lilong Wang, Xuan Wang, Yali Xu, Xiangan Wu, Shunda Du, Shaoting Zhang, Qiang Sun, Xiaosong Wang:
Dual-Perspective Label Smoothing for Accurate Tumor Segmentation. ISBI 2024: 1-5 - [c154]Ping Ye, He Li, Shaoting Zhang, Guotai Wang:
Semi-Supervised Medical Image Segmentation via Multi-Group Network with Consistency Among Heterogeneous Loss Supervision. ISBI 2024: 1-5 - [c153]Yubo Zhou, Ran Gu, Shaoting Zhang, Guotai Wang:
Self-Supervised Pre-Training Based On Contrastive Complementary Masking for Semi-Supervised Cardiac Image Segmentation. ISBI 2024: 1-5 - [c152]Linda Wei, Shengyi Hua, Shaoting Zhang, Xiaofan Zhang:
DeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels. DGM4MICCAI@MICCAI 2024: 1-10 - [c151]Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang:
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders. MICCAI (2) 2024: 45-55 - [c150]Jiaxuan Lu, Fang Yan, Xiaofan Zhang, Yue Gao, Shaoting Zhang:
PathoTune: Adapting Visual Foundation Model to Pathological Specialists. MICCAI (4) 2024: 395-406 - [c149]Linhao Qu, Dan Huang, Shaoting Zhang, Xiaosong Wang:
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. MICCAI (5) 2024: 501-510 - [c148]Xiangde Luo, Zihan Li, Shaoting Zhang, Wenjun Liao, Guotai Wang:
Rethinking Abdominal Organ Segmentation (RAOS) in the Clinical Scenario: A Robustness Evaluation Benchmark with Challenging Cases. MICCAI (9) 2024: 531-541 - [c147]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. MICCAI (9) 2024: 615-625 - [i108]Yunkun Zhang, Jin Gao, Zheling Tan, Lingfeng Zhou, Kexin Ding, Mu Zhou, Shaoting Zhang, Dequan Wang:
Data-Centric Foundation Models in Computational Healthcare: A Survey. CoRR abs/2401.02458 (2024) - [i107]Xi Chen, MingKe You, Li Wang, Weizhi Liu, Yu Fu, Jie Xu, Shaoting Zhang, Gang Chen, Kang Li, Jian Li:
Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA. CoRR abs/2401.12998 (2024) - [i106]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. CoRR abs/2402.03302 (2024) - [i105]Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang:
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR abs/2402.18028 (2024) - [i104]Zhongzhen Huang, Linda Wei, Shaoting Zhang, Xiaofan Zhang:
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation. CoRR abs/2403.02074 (2024) - [i103]Lanfeng Zhong, Xin Liao, Shaoting Zhang, Xiaofan Zhang, Guotai Wang:
VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Human Annotation-Free Pathological Image Classification. CoRR abs/2403.15836 (2024) - [i102]Jiaxuan Lu, Fang Yan, Xiaofan Zhang, Yue Gao, Shaoting Zhang:
PathoTune: Adapting Visual Foundation Model to Pathological Specialists. CoRR abs/2403.16497 (2024) - [i101]Jianghao Wu, Dong Guo, Guotai Wang, Qiang Yue, Huijun Yu, Kang Li, Shaoting Zhang:
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation. CoRR abs/2404.04971 (2024) - [i100]Zhongzhen Huang, Kui Xue, Yongqi Fan, Linjie Mu, Ruoyu Liu, Tong Ruan, Shaoting Zhang, Xiaofan Zhang:
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models. CoRR abs/2404.17897 (2024) - [i99]Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Shaoting Zhang:
Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges. CoRR abs/2405.10630 (2024) - [i98]Zhongzhen Huang, Yankai Jiang, Rongzhao Zhang, Shaoting Zhang, Xiaofan Zhang:
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation. CoRR abs/2406.07085 (2024) - [i97]Wasif Khan, Seowung Leem, Kyle B. See, Joshua K. Wong, Shaoting Zhang, Ruogu Fang:
A Comprehensive Survey of Foundation Models in Medicine. CoRR abs/2406.10729 (2024) - [i96]Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu:
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. CoRR abs/2406.12753 (2024) - [i95]Xiangde Luo, Zihan Li, Shaoting Zhang, Wenjun Liao, Guotai Wang:
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases. CoRR abs/2406.13674 (2024) - [i94]Yongqi Fan, Hongli Sun, Kui Xue, Xiaofan Zhang, Shaoting Zhang, Tong Ruan:
MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens. CoRR abs/2406.15019 (2024) - [i93]Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, Xiaosong Wang:
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification. CoRR abs/2407.10814 (2024) - [i92]Mianxin Liu, Jinru Ding, Jie Xu, Weiguo Hu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang:
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. CoRR abs/2407.10990 (2024) - [i91]Yuan Jin, Gege Ma, Geng Chen, Tianling Lyu, Jan Egger, Junhui Lyu, Shaoting Zhang, Wentao Zhu:
CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images. CoRR abs/2407.13092 (2024) - [i90]Linhao Qu, Dan Huang, Shaoting Zhang, Xiaosong Wang:
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. CoRR abs/2407.17726 (2024) - [i89]Kaitao Chen, Mianxin Liu, Fang Yan, Lei Ma, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou, Shaoting Zhang:
Cost-effective Instruction Learning for Pathology Vision and Language Analysis. CoRR abs/2407.17734 (2024) - [i88]Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao:
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. CoRR abs/2408.03361 (2024) - [i87]Linda Wei, Shengyi Hua, Shaoting Zhang, Xiaofan Zhang:
DeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels. CoRR abs/2409.00649 (2024) - [i86]Mianxin Liu, Jianfeng Wu, Fang Yan, Hongjun Li, Wei Wang, Shaoting Zhang, Zhe Wang:
Exploring the Feasibility of Multimodal Chatbot AI as Copilot in Pathology Diagnostics: Generalist Model's Pitfall. CoRR abs/2409.15291 (2024) - [i85]Lijian Xu, Hao Sun, Ziyu Ni, Hongsheng Li, Shaoting Zhang:
MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation. CoRR abs/2409.19684 (2024) - [i84]Shaohao Rui, Lingzhi Chen, Zhenyu Tang, Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang:
BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI. CoRR abs/2410.10604 (2024) - [i83]Yakun Zhu, Shaohang Wei, Xu Wang, Kui Xue, Xiaofan Zhang, Shaoting Zhang:
MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling. CoRR abs/2410.13610 (2024) - 2023
- [j81]Zhiqiang Hu, Wenfeng Liu, Chenbin Zhang, Jiawen Huang, Shaoting Zhang, Huiqun Yu, Yi Xiong, Hao Liu, Song Ke, Liang Hong:
SAM-DTA: a sequence-agnostic model for drug-target binding affinity prediction. Briefings Bioinform. 24(1) (2023) - [j80]Qiao Liu, Wanwen Zeng, Wei Zhang, Sicheng Wang, Hongyang Chen, Rui Jiang, Mu Zhou, Shaoting Zhang:
Deep generative modeling and clustering of single cell Hi-C data. Briefings Bioinform. 24(1) (2023) - [j79]Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang:
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. Comput. Methods Programs Biomed. 231: 107398 (2023) - [j78]Jianghao Wu, Dong Guo, Lu Wang, Shuojue Yang, Yuanjie Zheng, Jonathan Shapey, Tom Vercauteren, Sotirios Bisdas, Robert Bradford, Shakeel R. Saeed, Neil Kitchen, Sébastien Ourselin, Shaoting Zhang, Guotai Wang:
TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. Neurocomputing 544: 126295 (2023) - [j77]Xianying He, Jiahui Li, Fang Yan, Linlin Wang, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Shaoting Zhang, Jie Zhao:
Predicting cancer outcomes from whole slide images via hybrid supervision learning. Neurocomputing 557: 126736 (2023) - [j76]Guotai Wang, Shaoting Zhang, Sharon X. Huang, Tom Vercauteren, Dimitris N. Metaxas:
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing. Medical Image Anal. 84: 102727 (2023) - [j75]Yiwei Wang, Wenjun Xia, Zhennan Yan, Liang Zhao, Xiaohe Bian, Chang Liu, Zhengnan Qi, Shaoting Zhang, Zisheng Tang:
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning. Medical Image Anal. 85: 102750 (2023) - [j74]Yiyue Li, Qicheng Lao, Qingbo Kang, Zekun Jiang, Shiyi Du, Shaoting Zhang, Kang Li:
Self-supervised anomaly detection, staging and segmentation for retinal images. Medical Image Anal. 87: 102805 (2023) - [j73]Xiaowei Xu, Yinan Chen, Jianghao Wu, Jiangshan Lu, Yuxiang Ye, Yechong Huang, Xin Dou, Kang Li, Guotai Wang, Shaoting Zhang, Wei Gong:
A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation. Medical Image Anal. 88: 102873 (2023) - [j72]Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Medical Image Anal. 89: 102904 (2023) - [j71]Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang:
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. IEEE Trans. Medical Imaging 42(1): 245-256 (2023) - [j70]Shuwei Zhai, Guotai Wang, Xiangde Luo, Qiang Yue, Kang Li, Shaoting Zhang:
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation. IEEE Trans. Medical Imaging 42(8): 2235-2246 (2023) - [j69]Qianfei Zhao, Lanfeng Zhong, Jianghong Xiao, Jingbo Zhang, Yinan Chen, Wenjun Liao, Shaoting Zhang, Guotai Wang:
Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation. IEEE Trans. Medical Imaging 42(9): 2513-2523 (2023) - [j68]Lanfeng Zhong, Guotai Wang, Xin Liao, Shaoting Zhang:
HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images. IEEE Trans. Medical Imaging 42(10): 2912-2923 (2023) - [j67]Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(12): 3932-3943 (2023) - [c146]Xiaoming Shi, Zeming Liu, Chuan Wang, Haitao Leng, Kui Xue, Xiaofan Zhang, Shaoting Zhang:
MidMed: Towards Mixed-Type Dialogues for Medical Consultation. ACL (1) 2023: 8145-8157 - [c145]Jiawen Xie, Qi Su, Shaoting Zhang, Xiaofan Zhang:
Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization. ACL (Findings) 2023: 9732-9747 - [c144]Zhongzhen Huang, Xiaofan Zhang, Shaoting Zhang:
KiUT: Knowledge-injected U-Transformer for Radiology Report Generation. CVPR 2023: 19809-19818 - [c143]Gege Ma, Yuan Jin, Jianhu Pan, Shaoting Zhang, Dimitris N. Metaxas, Wentao Zhu:
Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features. EMBC 2023: 1-6 - [c142]Yangfan Ni, Geng Chen, Zhan Feng, Heng Cui, Dimitris N. Metaxas, Shaoting Zhang, Wentao Zhu:
Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation. EMBC 2023: 1-4 - [c141]Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, Guotai Wang:
UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation. IPMI 2023: 237-249 - [c140]Yijie Qu, Qianfei Zhao, Linda Wei, Tao Lu, Shaoting Zhang, Guotai Wang:
ScribSD: Scribble-Supervised Fetal MRI Segmentation Based on Simultaneous Feature and Prediction Self-distillation. MILLanD@MICCAI 2023: 14-23 - [c139]Meng Han, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency. MICCAI (7) 2023: 33-42 - [c138]Zhao Wang, Chang Liu, Shaoting Zhang, Qi Dou:
Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train. MICCAI (9) 2023: 101-111 - [c137]Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang:
Text-Guided Foundation Model Adaptation for Pathological Image Classification. MICCAI (5) 2023: 272-282 - [c136]Jia Fu, Tao Lu, Shaoting Zhang, Guotai Wang:
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation. MICCAI (7) 2023: 315-324 - [c135]Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI (6) 2023: 570-579 - [c134]Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang:
Pathology-and-Genomics Multimodal Transformer for Survival Outcome Prediction. MICCAI (6) 2023: 622-631 - [c133]Ziyu Ni, Linda Wei, Lijian Xu, Qing Xia, Hongsheng Li, Shaoting Zhang, Dimitris N. Metaxas:
Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics. STACOM@MICCAI 2023: 15-24 - [c132]Xiaoyu Yang, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang:
Geometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography. TML4H 2023: 190-196 - [i82]Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang, Dequan Wang, Shaoting Zhang, Kang Li:
Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. CoRR abs/2303.06580 (2023) - [i81]Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao:
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. CoRR abs/2304.06716 (2023) - [i80]Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, Kang Li:
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes. CoRR abs/2305.00035 (2023) - [i79]Xiaoyu Yang, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang:
Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network. CoRR abs/2305.04208 (2023) - [i78]Jie Xu, Lu Lu, Sen Yang, Bilin Liang, Xinwei Peng, Jiali Pang, Jinru Ding, Xiaoming Shi, Lingrui Yang, Huan Song, Kang Li, Xin Sun, Shaoting Zhang:
MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine. CoRR abs/2305.07340 (2023) - [i77]Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. CoRR abs/2305.18830 (2023) - [i76]Huahui Yi, Ziyuan Qin, Wei Xu, Miaotian Guo, Kun Wang, Shaoting Zhang, Kang Li, Qicheng Lao:
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models. CoRR abs/2305.18993 (2023) - [i75]Ziyu Ni, Linda Wei, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang:
Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics. CoRR abs/2305.19107 (2023) - [i74]Yunhe Gao, Zhuowei Li, Di Liu, Mu Zhou, Shaoting Zhang, Dimitris N. Metaxas:
Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning. CoRR abs/2306.02416 (2023) - [i73]Xiaoming Shi, Zeming Liu, Chuan Wang, Haitao Leng, Kui Xue, Xiaofan Zhang, Shaoting Zhang:
MidMed: Towards Mixed-Type Dialogues for Medical Consultation. CoRR abs/2306.02923 (2023) - [i72]Shaoting Zhang, Dimitris N. Metaxas:
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis. CoRR abs/2306.05705 (2023) - [i71]Dequan Wang, Xiaosong Wang, Lilong Wang, Mengzhang Li, Qian Da, Xiaoqiang Liu, Xiangyu Gao, Jun Shen, Junjun He, Tian Shen, Qi Duan, Jie Zhao, Kang Li, Yu Qiao, Shaoting Zhang:
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. CoRR abs/2306.09579 (2023) - [i70]Zhongzhen Huang, Xiaofan Zhang, Shaoting Zhang:
KiUT: Knowledge-injected U-Transformer for Radiology Report Generation. CoRR abs/2306.11345 (2023) - [i69]Jia Fu, Tao Lu, Shaoting Zhang, Guotai Wang:
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation. CoRR abs/2306.11490 (2023) - [i68]Zhenyu Tang, Shaoting Zhang, Xiaosong Wang:
Exploring Data Redundancy in Real-world Image Classification through Data Selection. CoRR abs/2306.14113 (2023) - [i67]Wenhui Lei, Xu Wei, Xiaofan Zhang, Kang Li, Shaoting Zhang:
MedLSAM: Localize and Segment Anything Model for 3D Medical Images. CoRR abs/2306.14752 (2023) - [i66]Zhao Wang, Chang Liu, Shaoting Zhang, Qi Dou:
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train. CoRR abs/2306.16741 (2023) - [i65]Guotai Wang, Jianghao Wu, Xiangde Luo, Xinglong Liu, Kang Li, Shaoting Zhang:
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset. CoRR abs/2306.16925 (2023) - [i64]Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang:
Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction. CoRR abs/2307.11952 (2023) - [i63]Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang:
Text-guided Foundation Model Adaptation for Pathological Image Classification. CoRR abs/2307.14901 (2023) - [i62]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. CoRR abs/2308.04663 (2023) - [i61]Xiaoming Shi, Jie Xu, Jinru Ding, Jiali Pang, Sichen Liu, Shuqing Luo, Xingwei Peng, Lu Lu, Haihong Yang, Mingtao Hu, Tong Ruan, Shaoting Zhang:
LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation. CoRR abs/2308.07635 (2023) - [i60]Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao:
SAM-Med2D. CoRR abs/2308.16184 (2023) - [i59]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. CoRR abs/2309.03906 (2023) - [i58]Meng Han, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency. CoRR abs/2309.09730 (2023) - [i57]Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. CoRR abs/2309.10244 (2023) - [i56]Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts. CoRR abs/2310.02906 (2023) - [i55]Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao:
SAM-Med3D. CoRR abs/2310.15161 (2023) - [i54]Lijian Xu, Ziyu Ni, Xinglong Liu, Xiaosong Wang, Hongsheng Li, Shaoting Zhang:
Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation. CoRR abs/2311.01092 (2023) - [i53]Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao:
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks. CoRR abs/2311.11969 (2023) - [i52]Xiaoyu Yang, Lijian Xu, Hongsheng Li, Shaoting Zhang:
ViLaM: A Vision-Language Model with Enhanced Visual Grounding and Generalization Capability. CoRR abs/2311.12327 (2023) - [i51]Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang, Xiaofan Zhang, Shaoting Zhang:
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting. CoRR abs/2312.04964 (2023) - [i50]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - 2022
- [j66]Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. Medical Image Anal. 75: 102287 (2022) - [j65]Qingbo Kang, Qicheng Lao, Yiyue Li, Zekun Jiang, Yue Qiu, Shaoting Zhang, Kang Li:
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning. Medical Image Anal. 79: 102443 (2022) - [j64]Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang:
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 80: 102485 (2022) - [j63]Xiangde Luo, Guotai Wang, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Dimitris N. Metaxas, Shaoting Zhang:
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Medical Image Anal. 80: 102517 (2022) - [j62]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang:
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Medical Image Anal. 82: 102642 (2022) - [j61]Jie Zhang, Yishan Du, Pengfei Zhou, Jinru Ding, Shuai Xia, Qian Wang, Feiyang Chen, Mu Zhou, Xuemei Zhang, Weifeng Wang, Hongyan Wu, Lu Lu, Shaoting Zhang:
Predicting unseen antibodies' neutralizability via adaptive graph neural networks. Nat. Mac. Intell. 4(11): 964-976 (2022) - [j60]Yuanjie Zheng, Xiaodan Sui, Yanyun Jiang, Tongtong Che, Shaoting Zhang, Jie Yang, Hongsheng Li:
SymReg-GAN: Symmetric Image Registration With Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5631-5646 (2022) - [j59]Shuojue Yang, Guotai Wang, Hui Sun, Xiangde Luo, Peng Sun, Kang Li, Qijun Wang, Shaoting Zhang:
Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training. IEEE J. Biomed. Health Informatics 26(8): 3673-3684 (2022) - [j58]Hao Fu, Guotai Wang, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang:
HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. IEEE J. Biomed. Health Informatics 26(9): 4519-4529 (2022) - [j57]Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. IEEE Trans. Medical Imaging 41(3): 531-542 (2022) - [j56]Zihao Liu, Zhuowei Li, Zhiqiang Hu, Qing Xia, Ruiqin Xiong, Shaoting Zhang, Tingting Jiang:
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(11): 3398-3410 (2022) - [c131]Meirui Jiang, Hongzheng Yang, Xiaofan Zhang, Shaoting Zhang, Qi Dou:
Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning. BrainLes@MICCAI (2) 2022: 161-172 - [c130]Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas:
Towards Self-Supervised and Weight-preserving Neural Architecture Search. ECCV Workshops (4) 2022: 3-19 - [c129]Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang, Shaoting Zhang:
FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation. ISBI 2022: 1-5 - [c128]Jia Guo, Xinglong Liu, Yinan Chen, Shaoting Zhang, Guangyu Tao, Hong Yu, Huiyuan Zhu, Wenhui Lei, Huiqi Li, Na Wang:
AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images. MICCAI (1) 2022: 473-483 - [c127]Xiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang, Shaoting Zhang:
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision. MICCAI (1) 2022: 528-538 - [c126]Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang:
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer. MIDL 2022: 820-833 - [c125]Shizhan Gong, Weitao Lu, Jize Xie, Xiaofan Zhang, Shaoting Zhang, Qi Dou:
Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation. STACOM@MICCAI 2022: 494-504 - [i49]Zhuowei Li, Zihao Liu, Zhiqiang Hu, Qing Xia, Ruiqin Xiong, Shaoting Zhang, Dimitris N. Metaxas, Tingting Jiang:
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. CoRR abs/2201.08779 (2022) - [i48]Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas:
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications. CoRR abs/2202.08916 (2022) - [i47]Xiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang, Shaoting Zhang:
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision. CoRR abs/2203.02106 (2022) - [i46]Ran Gu, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Xiaofan Zhang, Guotai Wang, Shaoting Zhang:
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation. CoRR abs/2205.06551 (2022) - [i45]Hao Fu, Guotai Wang, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang:
HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. CoRR abs/2206.02959 (2022) - [i44]Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas:
Towards Self-supervised and Weight-preserving Neural Architecture Search. CoRR abs/2206.04125 (2022) - [i43]Shuwei Zhai, Guotai Wang, Xiangde Luo, Qiang Yue, Kang Li, Shaoting Zhang:
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation. CoRR abs/2208.05669 (2022) - [i42]Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang:
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. CoRR abs/2208.08605 (2022) - [i41]Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang:
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. CoRR abs/2208.09350 (2022) - [i40]Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation. CoRR abs/2211.12081 (2022) - 2021
- [j55]Shaoting Zhang, Fangying Chen, Xiaolu Ma, Minjie Wang, Guanyu Yu, Fu Shen, Xianhua Gao, Jianping Lu:
MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers. BMC Medical Imaging 21(1): 50 (2021) - [j54]Hongsheng Li, Shaoting Zhang, Dimitris N. Metaxas:
Guest editorial: Deep learning for medical image analysis. Neurocomputing 438: 209-210 (2021) - [j53]Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss. Neurocomputing 442: 184-199 (2021) - [j52]Yang Qu, Xiaomin Li, Zhennan Yan, Liang Zhao, Lichi Zhang, Chang Liu, Shuaining Xie, Kang Li, Dimitris N. Metaxas, Wen Wu, Yongqiang Hao, Kerong Dai, Shaoting Zhang, Xiaofeng Tao, Songtao Ai:
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning. Medical Image Anal. 69: 101954 (2021) - [j51]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. Medical Image Anal. 72: 102102 (2021) - [j50]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. IEEE Trans. Medical Imaging 40(2): 699-711 (2021) - [j49]Wenji Wang, Qing Xia, Zhiqiang Hu, Zhennan Yan, Zhuowei Li, Yang Wu, Ning Huang, Yue Gao, Dimitris N. Metaxas, Shaoting Zhang:
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. IEEE Trans. Medical Imaging 40(10): 2629-2641 (2021) - [j48]Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang:
Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning. IEEE Trans. Medical Imaging 40(10): 2795-2807 (2021) - [c124]Yibo Gao, Huan Wang, Xinglong Liu, Ning Huang, Guotai Wang, Shaoting Zhang:
A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images. EMBC 2021: 3705-3708 - [c123]Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang:
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. IJCAI 2021: 3677-3683 - [c122]Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Shichuan Zhang, Guotai Wang:
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images. MICCAI (2) 2021: 155-165 - [c121]Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. MICCAI (3) 2021: 241-250 - [c120]Minhao Hu, Tao Song, Yujun Gu, Xiangde Luo, Jieneng Chen, Yinan Chen, Ya Zhang, Shaoting Zhang:
Fully Test-Time Adaptation for Image Segmentation. MICCAI (3) 2021: 251-260 - [c119]Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang:
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. MICCAI (5) 2021: 302-312 - [c118]Jiahui Li, Wen Chen, Xiaodi Huang, Shuang Yang, Zhiqiang Hu, Qi Duan, Dimitris N. Metaxas, Hongsheng Li, Shaoting Zhang:
Hybrid Supervision Learning for Pathology Whole Slide Image Classification. MICCAI (8) 2021: 309-318 - [c117]Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang:
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. MICCAI (2) 2021: 318-329 - [c116]Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Lingyun Wu, Shaoting Zhang, Ping Luo:
Multi-compound Transformer for Accurate Biomedical Image Segmentation. MICCAI (1) 2021: 326-336 - [c115]Zhuowei Li, Qing Xia, Zhiqiang Hu, Wenji Wang, Lijian Xu, Shaoting Zhang:
A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction. MICCAI (5) 2021: 418-428 - [i39]Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss. CoRR abs/2102.01897 (2021) - [i38]Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching. CoRR abs/2104.05215 (2021) - [i37]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning. CoRR abs/2104.12166 (2021) - [i36]Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang:
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. CoRR abs/2105.06709 (2021) - [i35]Jinxi Xiang, Zhuowei Li, Wenji Wang, Qing Xia, Shaoting Zhang:
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation. CoRR abs/2105.12924 (2021) - [i34]Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Lingyun Wu, Shaoting Zhang, Ping Luo:
Multi-Compound Transformer for Accurate Biomedical Image Segmentation. CoRR abs/2106.14385 (2021) - [i33]Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang:
Mixed Supervision Learning for Whole Slide Image Classification. CoRR abs/2107.00934 (2021) - [i32]Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang:
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. CoRR abs/2107.03609 (2021) - [i31]Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. CoRR abs/2109.08852 (2021) - [i30]Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention. CoRR abs/2109.14172 (2021) - [i29]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Tao Song, Xiaofan Zhang, Kang Li, Guotai Wang, Shaoting Zhang:
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. CoRR abs/2111.02403 (2021) - [i28]Wenhui Lei, Qi Su, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-shot Weakly-Supervised Segmentation in Medical Images. CoRR abs/2111.10773 (2021) - [i27]Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang:
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer. CoRR abs/2112.04894 (2021) - 2020
- [j47]Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu:
Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation. Neurocomputing 417: 114-127 (2020) - [j46]Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang:
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks. Medical Image Anal. 65: 101787 (2020) - [j45]Guotai Wang, Xinglong Liu, Chaoping Li, Zhiyong Xu, Jiugen Ruan, Haifeng Zhu, Tao Meng, Kang Li, Ning Huang, Shaoting Zhang:
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images. IEEE Trans. Medical Imaging 39(8): 2653-2663 (2020) - [j44]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3655-3666 (2020) - [c114]Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li:
Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets. MICCAI (4) 2020: 146-155 - [c113]Zuhao Liu, Huan Wang, Shaoting Zhang, Guotai Wang, Jin Qi:
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification. MICCAI (1) 2020: 263-272 - [c112]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. MICCAI (4) 2020: 279-288 - [c111]Kexin Ding, Qiao Liu, Edward Lee, Mu Zhou, Aidong Lu, Shaoting Zhang:
Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer. MICCAI (2) 2020: 294-304 - [c110]Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo:
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. MICCAI (1) 2020: 346-356 - [c109]Tao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang:
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans. MICCAI (6) 2020: 550-559 - [i26]Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Maoliang Gong, Xinglong Liu, Qing Xia, Xiaodi Huang, Zhiqiang Hu, Ning Huang, Shaoting Zhang:
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization. CoRR abs/2004.07031 (2020) - [i25]Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu:
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation. CoRR abs/2005.13366 (2020) - [i24]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. CoRR abs/2007.00833 (2020) - [i23]Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang:
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks. CoRR abs/2007.03294 (2020) - [i22]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. CoRR abs/2007.05448 (2020) - [i21]Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li:
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets. CoRR abs/2008.07149 (2020) - [i20]Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Medical Image Segmentation through Dual-task Consistency. CoRR abs/2009.04448 (2020) - [i19]Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo:
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation. CoRR abs/2009.07501 (2020) - [i18]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. CoRR abs/2009.10549 (2020) - [i17]Xu Chen, Xiangde Luo, Yitian Zhao, Shaoting Zhang, Guotai Wang, Yalin Zheng:
Learning Euler's Elastica Model for Medical Image Segmentation. CoRR abs/2011.00526 (2020) - [i16]Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma. CoRR abs/2012.07042 (2020) - [i15]Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang:
One-Shot Object Localization in Medical Images based on Relative Position Regression. CoRR abs/2012.07043 (2020) - [i14]Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas:
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. CoRR abs/2012.08604 (2020) - [i13]Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang:
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning. CoRR abs/2012.14584 (2020)
2010 – 2019
- 2019
- [j43]Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, Shuiwang Ji:
Computational modeling of cellular structures using conditional deep generative networks. Bioinform. 35(12): 2141-2149 (2019) - [j42]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas:
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1947-1962 (2019) - [j41]Rahil Mehrizi, Xi Peng, Dimitris N. Metaxas, Xu Xu, Shaoting Zhang, Kang Li:
Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach. IEEE Trans. Hum. Mach. Syst. 49(1): 85-94 (2019) - [c108]Huan Wang, Guotai Wang, Zijian Liu, Shaoting Zhang:
Global and Local Multi-scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas Segmentation. BrainLes@MICCAI (1) 2019: 80-88 - [c107]Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji:
Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. ICDM 2019: 806-815 - [c106]Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin:
Residual Attention Based Network for Hand Bone Age Assessment. ISBI 2019: 1158-1161 - [c105]Willis Fulmer, Tahir Mahmood, Zhongyu Li, Shaoting Zhang, Jian Huang, Aidong Lu:
ImWeb: cross-platform immersive web browsing for online 3D neuron database exploration. IUI 2019: 367-378 - [c104]Wenhui Lei, Huan Wang, Ran Gu, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 61-69 - [c103]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. MICCAI (2) 2019: 264-272 - [c102]Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation. MICCAI (2) 2019: 282-290 - [c101]Huan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang:
Automated Segmentation of Skin Lesion Based on Pyramid Attention Network. MLMI@MICCAI 2019: 435-443 - [c100]Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang:
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. MICCAI (5) 2019: 521-529 - [c99]Huan Wang, Guotai Wang, Zhihan Xu, Wenhui Lei, Shaoting Zhang:
High- and Low-Level Feature Enhancement for Medical Image Segmentation. MLMI@MICCAI 2019: 611-619 - [i12]Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin:
Residual Attention based Network for Hand Bone Age Assessment. CoRR abs/1901.05876 (2019) - [i11]Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Kunlin Cao, Qi Song, Shaoting Zhang, Siwei Lyu, Youbing Yin:
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding. CoRR abs/1902.10053 (2019) - [i10]Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation. CoRR abs/1908.04469 (2019) - [i9]Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang:
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. CoRR abs/1910.07638 (2019) - 2018
- [j40]Xi Peng, Shaoting Zhang, Yang Yu, Dimitris N. Metaxas:
Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild. Int. J. Comput. Vis. 126(2-4): 184-197 (2018) - [j39]Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang:
Large-scale retrieval for medical image analytics: A comprehensive review. Medical Image Anal. 43: 66-84 (2018) - [j38]Zhongyu Li, Erik Butler, Kang Li, Aidong Lu, Shuiwang Ji, Shaoting Zhang:
Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality. Neuroinformatics 16(3-4): 339-349 (2018) - [c98]Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. ECCV (3) 2018: 348-364 - [c97]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. IJCAI 2018: 942-948 - [c96]Zhongyu Li, Chaowei Fang, Shaoting Zhang:
Deep feature representation for the computational analytics of 3D neuronal morphology. ISBI 2018: 926-929 - [c95]Bin Kong, Shanhui Sun, Xin Wang, Qi Song, Shaoting Zhang:
Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning. MICCAI (2) 2018: 156-164 - [i8]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. CoRR abs/1806.11191 (2018) - [i7]Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. CoRR abs/1808.02194 (2018) - 2017
- [j37]Yuanjie Zheng, Shaoting Zhang, Junzhou Huang, Weidong Cai:
Guest Editorial: Special issue on advances in computing techniques for big medical image data. Neurocomputing 229: 1-2 (2017) - [j36]Xiaodan Sui, Yuanjie Zheng, Benzheng Wei, Hongsheng Bi, Jianfeng Wu, Xuemei Pan, Yilong Yin, Shaoting Zhang:
Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks. Neurocomputing 237: 332-341 (2017) - [j35]Zhongyu Li, Ruogu Fang, Fumin Shen, Amin Katouzian, Shaoting Zhang:
Indexing and mining large-scale neuron databases using maximum inner product search. Pattern Recognit. 63: 680-688 (2017) - [j34]Jingjing Liu, Shaoting Zhang, Wei Liu, Cheng Deng, Yuanjie Zheng, Dimitris N. Metaxas:
Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2450-2460 (2017) - [j33]Yanhua Yang, Cheng Deng, Dapeng Tao, Shaoting Zhang, Wei Liu, Xinbo Gao:
Latent Max-Margin Multitask Learning With Skelets for 3-D Action Recognition. IEEE Trans. Cybern. 47(2): 439-448 (2017) - [c94]Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel:
Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. IPMI 2017: 80-92 - [c93]Bin Kong, Xin Wang, Zhongyu Li, Qi Song, Shaoting Zhang:
Cancer Metastasis Detection via Spatially Structured Deep Network. IPMI 2017: 236-248 - [p2]Zhennan Yan, Yiqiang Zhan, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou:
Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition. Deep Learning for Medical Image Analysis 2017: 83-104 - [p1]Hai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang:
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 257-278 - [e3]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - [i6]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas:
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. CoRR abs/1710.10916 (2017) - [i5]Yan Zhu, Shaoting Zhang, Dimitris N. Metaxas:
Interactive Reinforcement Learning for Object Grounding via Self-Talking. CoRR abs/1712.00576 (2017) - 2016
- [j32]Chaowei Tan, Kang Li, Zhennan Yan, Dong Yang, Shaoting Zhang, Hui Jing Yu, Klaus Engelke, Colin Miller, Dimitris N. Metaxas:
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification. Comput. Vis. Image Underst. 151: 80-89 (2016) - [j31]Shaoting Zhang, Dimitris N. Metaxas:
Large-Scale medical image analytics: Recent methodologies, applications and Future directions. Medical Image Anal. 33: 98-101 (2016) - [j30]Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Scalable histopathological image analysis via supervised hashing with multiple features. Medical Image Anal. 34: 3-12 (2016) - [j29]Sailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, Philipp L. Rautenberg, Shaoting Zhang, Nassir Navab, Amin Katouzian:
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases. Neuroinformatics 14(4): 369-385 (2016) - [j28]Xiang Yu, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas:
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2212-2226 (2016) - [j27]Xiaofan Zhang, Hang Dou, Tao Ju, Jun Xu, Shaoting Zhang:
Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis. IEEE J. Biomed. Health Informatics 20(5): 1377-1383 (2016) - [j26]Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou:
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition. IEEE Trans. Medical Imaging 35(5): 1332-1343 (2016) - [c92]Jingjing Liu, Shaoting Zhang, Shu Wang, Dimitris N. Metaxas:
Multispectral Deep Neural Networks for Pedestrian Detection. BMVC 2016 - [c91]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang:
Embedding Label Structures for Fine-Grained Feature Representation. CVPR 2016: 1114-1123 - [c90]Han Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas:
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition. CVPR 2016: 1143-1152 - [c89]Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas:
Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. IJCAI 2016: 1760-1766 - [c88]Xiang Yu, Zhe L. Lin, Shaoting Zhang, Dimitris N. Metaxas:
Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment. IJCAI 2016: 2711-2717 - [c87]Shu Wang, Shaoting Zhang, Wei Liu, Dimitris N. Metaxas:
Visual Tracking with Reliable Memories. IJCAI 2016: 3491-3497 - [c86]Zhongyu Li, Fumin Shen, Ruogu Fang, Sailesh Conjeti, Amin Katouzian, Shaoting Zhang:
Maximum inner product search for morphological retrieval of large-scale neuron data. ISBI 2016: 602-606 - [c85]Menglin Jiang, Shaoting Zhang, Yuanjie Zheng, Dimitris N. Metaxas:
Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors. MICCAI (2) 2016: 35-43 - [c84]Tao Xu, Han Zhang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas:
Multimodal Deep Learning for Cervical Dysplasia Diagnosis. MICCAI (2) 2016: 115-123 - [c83]Bin Kong, Yiqiang Zhan, Min C. Shin, Thomas Denny, Shaoting Zhang:
Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network. MICCAI (3) 2016: 264-272 - [e2]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9601, Springer 2016, ISBN 978-3-319-42015-8 [contents] - [i4]Shu Wang, Shaoting Zhang, Wei Liu, Dimitris N. Metaxas:
Visual Tracking via Reliable Memories. CoRR abs/1602.01887 (2016) - [i3]Jingjing Liu, Shaoting Zhang, Shu Wang, Dimitris N. Metaxas:
Multispectral Deep Neural Networks for Pedestrian Detection. CoRR abs/1611.02644 (2016) - [i2]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, Dimitris N. Metaxas:
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks. CoRR abs/1612.03242 (2016) - 2015
- [j25]Zhennan Yan, Shaoting Zhang, Chaowei Tan, Hongxing Qin, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas:
Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials. Comput. Medical Imaging Graph. 41: 80-92 (2015) - [j24]Ruogu Fang, Tsuhan Chen, Dimitris N. Metaxas, Pina C. Sanelli, Shaoting Zhang:
Sparsity techniques in medical imaging. Comput. Medical Imaging Graph. 46: 1 (2015) - [j23]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas:
From circle to 3-sphere: Head pose estimation by instance parameterization. Comput. Vis. Image Underst. 136: 92-102 (2015) - [j22]Yang Yu, Shaoting Zhang, Fei Yang, Dimitris N. Metaxas:
Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation. Int. J. Artif. Intell. Tools 24(4): 1540019:1-1540019:15 (2015) - [j21]Guotai Wang, Shaoting Zhang, Hongzhi Xie, Dimitris N. Metaxas, Lixu Gu:
A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning. Medical Image Anal. 19(1): 176-186 (2015) - [j20]Xiaofan Zhang, Fuyong Xing, Hai Su, Lin Yang, Shaoting Zhang:
High-throughput histopathological image analysis via robust cell segmentation and hashing. Medical Image Anal. 26(1): 306-315 (2015) - [j19]Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris N. Metaxas:
Query Specific Rank Fusion for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 803-815 (2015) - [j18]Menglin Jiang, Shaoting Zhang, Hongsheng Li, Dimitris N. Metaxas:
Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval. IEEE Trans. Biomed. Eng. 62(2): 783-792 (2015) - [j17]Xiang Yu, Shaoting Zhang, Zhennan Yan, Fei Yang, Junzhou Huang, Norah E. Dunbar, Matthew L. Jensen, Judee K. Burgoon, Dimitris N. Metaxas:
Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues. IEEE Trans. Cybern. 45(3): 506-520 (2015) - [j16]Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, Shaoting Zhang:
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval. IEEE Trans. Medical Imaging 34(2): 496-506 (2015) - [j15]Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli:
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization. IEEE Trans. Medical Imaging 34(7): 1533-1548 (2015) - [c82]Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang:
Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval. CVPR 2015: 5361-5368 - [c81]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas:
Three-dimensional head pose estimation in-the-wild. FG 2015: 1-6 - [c80]Xi Peng, Shaoting Zhang, Yu Yang, Dimitris N. Metaxas:
PIEFA: Personalized Incremental and Ensemble Face Alignment. ICCV 2015: 3880-3888 - [c79]Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen:
Learning Binary Codes for Maximum Inner Product Search. ICCV 2015: 4148-4156 - [c78]Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang:
Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images. IPMI 2015: 303-314 - [c77]Dong Yang, Shaoting Zhang, Zhennan Yan, Chaowei Tan, Kang Li, Dimitris N. Metaxas:
Automated anatomical landmark detection ondistal femur surface using convolutional neural network. ISBI 2015: 17-21 - [c76]Menglin Jiang, Shaoting Zhang, Ruogu Fang, Dimitris N. Metaxas:
Leveraging coupled multi-index for scalable retrieval of mammographic masses. ISBI 2015: 276-280 - [c75]Xiaofan Zhang, Hang Dou, Tao Ju, Shaoting Zhang:
Fusing heterogeneous features for the image-guided diagnosis of intraductal breast lesions. ISBI 2015: 1288-1291 - [c74]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas:
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). MCV@MICCAI 2015: 3-9 - [c73]Chaowei Tan, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation. Patch-MI@MICCAI 2015: 95-103 - [c72]Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. MICCAI (3) 2015: 366-373 - [c71]Hai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang:
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. MICCAI (3) 2015: 383-390 - [c70]Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang:
Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. MICCAI (2) 2015: 700-707 - [c69]Andrew Brinker, Annika Fredrikson, Xiaofan Zhang, Richard Sourvenir, Shaoting Zhang:
Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry features. Medical Imaging: Digital Pathology 2015: 94200O - [i1]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang:
Embedding Label Structures for Fine-Grained Feature Representation. CoRR abs/1512.02895 (2015) - 2014
- [j14]Jingjing Liu, Bo Liu, Shaoting Zhang, Fei Yang, Peng Yang, Dimitris N. Metaxas, Carol Neidle:
Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions. Image Vis. Comput. 32(10): 671-681 (2014) - [j13]Hongxing Qin, XiaoYang Hong, Bin Xiao, Shaoting Zhang, Guo-Yin Wang:
Blue noise sampling method based on mixture distance. J. Electronic Imaging 23(6): 063015 (2014) - [j12]Yang Yu, Shaoting Zhang, Kang Li, Dimitris N. Metaxas, Leon Axel:
Deformable models with sparsity constraints for cardiac motion analysis. Medical Image Anal. 18(6): 927-937 (2014) - [j11]Hongsheng Li, Xiaolei Huang, Junzhou Huang, Shaoting Zhang:
Feature Matching with Affine-Function Transformation Models. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2407-2422 (2014) - [j10]Hongsheng Li, Yuanjie Zheng, Shaoting Zhang, Jian Cheng:
Solving a Special Type of Jigsaw Puzzles: Banknote Reconstruction From a Large Number of Fragments. IEEE Trans. Multim. 16(2): 571-578 (2014) - [c68]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas:
Head Pose Estimation by Instance Parameterization. ICPR 2014: 1800-1805 - [c67]Chaowei Tan, Zhennan Yan, Shaoting Zhang, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas:
An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh. ICPR 2014: 3173-3178 - [c66]Zhennan Yan, Chaowei Tan, Shaoting Zhang, Yan Zhou, Boubakeur Belaroussi, Hui Jing Yu, Colin Miller, Dimitris N. Metaxas:
Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI. ICPR 2014: 3280-3285 - [c65]Han Zhang, Shaoting Zhang, Kang Li, Dimitris N. Metaxas:
Robust shape prior modeling based on Gaussian-Bernoulli restricted Boltzmann Machine. ISBI 2014: 270-273 - [c64]Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris N. Metaxas, Leon Axel:
Morphological analysis of the papillary muscles and the trabeculae. ISBI 2014: 373-376 - [c63]Guotai Wang, Shaoting Zhang, Lixu Gu:
Scalable sparse shape composition and its application to liver surgical planning. ISBI 2014: 377-380 - [c62]Jie Yang, Shaoting Zhang, Xiahai Zhuang, Long Jiang, Lixu Gu:
Robust and efficient 3D registration via depth map-based feature point matching in image-guided neurosurgery. ISBI 2014: 758-761 - [c61]Jie Liu, Xiahai Zhuang, Jing Liu, Shaoting Zhang, Guotai Wang, Lianming Wu, Jianrong Xu, Lixu Gu:
Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model. ISBI 2014: 886-889 - [c60]Jingjing Liu, Shaoting Zhang, Wei Liu, Xiaofan Zhang, Dimitris N. Metaxas:
Scalable mammogram retrieval using Anchor Graph Hashing. ISBI 2014: 898-901 - [c59]Xiaofan Zhang, Wei Liu, Shaoting Zhang:
Mining histopathological images via hashing-based scalable image retrieval. ISBI 2014: 1111-1114 - [c58]Menglin Jiang, Shaoting Zhang, Jingjing Liu, Tian Shen, Dimitris N. Metaxas:
Computer-aided diagnosis of mammographic masses using vocabulary tree-based image retrieval. ISBI 2014: 1123-1126 - [c57]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). MCV 2014: 3-10 - [c56]Menglin Jiang, Shaoting Zhang, Dimitris N. Metaxas:
Detection of Mammographic Masses by Content-Based Image Retrieval. MLMI 2014: 33-41 - [c55]Ruogu Fang, Pina C. Sanelli, Shaoting Zhang, Tsuhan Chen:
Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion. MICCAI (1) 2014: 154-161 - [c54]Yan Zhu, Shaoting Zhang, Wei Liu, Dimitris N. Metaxas:
Scalable Histopathological Image Analysis via Active Learning. MICCAI (3) 2014: 369-376 - [c53]Xiaofan Zhang, Lin Yang, Wei Liu, Hai Su, Shaoting Zhang:
Mining Histopathological Images via Composite Hashing and Online Learning. MICCAI (2) 2014: 479-486 - [e1]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8848, Springer 2014, ISBN 978-3-319-13971-5 [contents] - 2013
- [j9]Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas:
3D anatomical shape atlas construction using mesh quality preserved deformable models. Comput. Vis. Image Underst. 117(9): 1061-1071 (2013) - [j8]Dimitris N. Metaxas, Shaoting Zhang:
A review of motion analysis methods for human Nonverbal Communication Computing. Image Vis. Comput. 31(6-7): 421-433 (2013) - [c52]Xiang Yu, Shaoting Zhang, Bo Liu, Lin Zhong, Dimitris N. Metaxas:
Large Scale Medical Image Search via Unsupervised PCA Hashing. CVPR Workshops 2013: 393-398 - [c51]Guotai Wang, Shaoting Zhang, Feng Li, Lixu Gu:
Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system. EMBC 2013: 6075-6078 - [c50]