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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
[j97]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)- [j96]Xiaosong Wang, Dequan Wang, Xiaoxiao Li, Jens Rittscher, Dimitris N. Metaxas, Shaoting Zhang:
Editorial for Special Issue on Foundation Models for Medical Image Analysis. Medical Image Anal. 100: 103389 (2025) - [j95]Jia Fu, Guotai Wang, Tao Lu, Qiang Yue, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UM-CAM: Uncertainty-weighted multi-resolution class activation maps for weakly-supervised segmentation. Pattern Recognit. 160: 111204 (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 - [i112]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) - [i111]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) - [i110]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) - [i109]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) - [i108]Zhongzhen Huang, Linda Wei, Shaoting Zhang, Xiaofan Zhang:
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation. CoRR abs/2403.02074 (2024) - [i107]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) - [i106]Jiaxuan Lu, Fang Yan, Xiaofan Zhang, Yue Gao, Shaoting Zhang:
PathoTune: Adapting Visual Foundation Model to Pathological Specialists. CoRR abs/2403.16497 (2024) - [i105]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) - [i104]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) - [i103]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) - [i102]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) - [i101]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) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]Lijian Xu, Ziyu Ni, Hao Sun, Hongsheng Li, Shaoting Zhang:
A foundation model for generalizable disease diagnosis in chest X-ray images. CoRR abs/2410.08861 (2024) - [i87]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) - [i86]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) - [i85]Yongrui Yu, Yannian Gu, Shaoting Zhang, Xiaofan Zhang:
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications. CoRR abs/2410.15432 (2024) - [i84]Yankai Jiang, Wenhui Lei, Xiaofan Zhang, Shaoting Zhang:
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment. CoRR abs/2410.15744 (2024) - [i83]Tao Song, Yicheng Wu, Minhao Hu, Xiangde Luo, Linda Wei, Guotai Wang, Yi Guo, Feng Xu, Shaoting Zhang:
Cross Group Attention and Group-wise Rolling for Multimodal Medical Image Synthesis. CoRR abs/2411.14684 (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]