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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
- 2023
[j80]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)- [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [c142]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 - [c141]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 - [c140]Zhongzhen Huang, Xiaofan Zhang, Shaoting Zhang:
KiUT: Knowledge-injected U-Transformer for Radiology Report Generation. CVPR 2023: 19809-19818 - [c139]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 - [c138]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 - [c137]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 - [c136]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 - [c135]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 - [c134]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 - [c133]Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI (6) 2023: 570-579 - [c132]Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang:
Pathology-and-Genomics Multimodal Transformer for Survival Outcome Prediction. MICCAI (6) 2023: 622-631 - [c131]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 - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. CoRR abs/2305.18830 (2023) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]Shaoting Zhang, Dimitris N. Metaxas:
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis. CoRR abs/2306.05705 (2023) - [i69]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) - [i68]Zhongzhen Huang, Xiaofan Zhang, Shaoting Zhang:
KiUT: Knowledge-injected U-Transformer for Radiology Report Generation. CoRR abs/2306.11345 (2023) - [i67]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) - [i66]Zhenyu Tang, Shaoting Zhang, Xiaosong Wang:
Exploring Data Redundancy in Real-world Image Classification through Data Selection. CoRR abs/2306.14113 (2023) - [i65]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) - [i64]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) - [i63]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) - [i62]Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang:
Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction. CoRR abs/2307.11952 (2023) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - 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) - [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]