王国泰 (教授)

期刊论文  /  会议论文   /  高被引论文  /  临床合作论文

1. Guotai Wang*, Jia Fu, Jianghao Wu, Xiangde Luo, Yubo Zhou, Xinglong Liu, Kang Li , Jingsheng Lin, Baiyong Shen, Shaoting Zhang*

   Volume Fusion-Based Self-Supervised Pretraining for 3D Medical Image Segmentation

   IEEE Transactions on Image Processing , 34 (2025):  6041 - 6052.  (2025 IF 13.7)  link
   

2. Pinzhen Chen, Ping Ye, Taotao Yang, ..., Jing Li*, Guotai Wang*, Wei Chen*

   Deep learning-based assessment of paraspinal muscle degeneration and its relationships to muscle function and disability outcomes in chronic low back pain: a prospective study

   European Radiology, Dec (2025).  link

3. Xiangde Luo, Hongqiu Wang, Jinfeng Xu, Lu Li, Yue Zhao, Yuan He, Hui Huang, Jianghong Xiao, Tao Song, Shichuan Zhang, Shaoting Zhang, Guotai Wang, Wenjun Liao* 

   Generalizable Magnetic Resonance Imaging-based Nasopharyngeal Carcinoma Delineation: Bridging Gaps Across Multiple Centers and Raters With Active Learning

   International Journal of Radiation Oncology Biology Physics, 121, no. 5 (2025): 1384-1393. (2025 IF 6.5) link  

4. Baosheng Zou, Ying Han, Zongguang Zhou, Kang Li*, Guotai Wang*

   UTMT : Semi-supervised segmentation of surgical endoscopic images based on Uncertainty guided Twin Mean Teacher

   Biomedical Signal Processing and Control, 112, Feb (2026): 108735.  link

5. He Li, Xiangde Luo, Jia Fu, Ran Gu, Wenjun Liao, Shichuan Zhang, Kang Li, Guotai Wang*, Shaoting Zhang*

   PL-Seg: Partially labeled abdominal organ segmentation via classwise orthogonal contrastive learning and progressive self-distillation

   Medical Image Analysis, 108, Feb (2026): 103885.  (2025 IF 11.8) link

6. Jianghao Wu, Xinya Liu, Shaoting Zhang*,  Guotai Wang* 

   SicTTA: Single Image Continual Test Time Adaptation for Medical Image Segmentation

   Medical Image Analysis, 108, Feb (2026): 103859.  (2025 IF 11.8) link

7. Lanfeng Zhong, Kun Qian*, Xin Liao, Zongyao Huang, Yang Liu, Shaoting Zhang, Guotai Wang* 

   UniSAL: Unified Semi-supervised Active Learning for histopathological image classification

   Medical Image Analysis, 102, May (2025): 103542.  (2025 IF 11.8) link

8. Xiangde Luo, Jia Fu, ..., Guotai  Wang*,  Shaoting Zhang* 

   SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma

   Medical Image Analysis, 101, April (2025): 103447.  (2025 IF 11.8) link

9. Lanfeng Zhong, Zongyao Huang, Yang Liu, Wenjun Liao, Shichuan Zhang, Guotai Wang*

   VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Annotation-Free Pathological Image Classification

   IEEE Transactions on Medical Imaging, 44, no. 10 (2025):4023 - 4036 .  (2025 IF 9.8) link

10. Weiren Zhao, Lanfeng Zhong, Xin Liao, Wenjun Liao, Sichuan Zhang, Shaoting Zhang, Guotai Wang*

    MetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image Segmentation

    IEEE Transactions on Medical Imaging, Eearly Access.  (2025 IF 9.8) link

11. Guoning Zhang, Xiaoran Qi, Jianghao Wu, Bo Yan, Guotai Wang

    IPLC+: SAM-Guided Iterative Pseudo Label Correction for Source-Free Domain Adaptation in Medical Image Segmentation

    IEEE Journal of Biomedical and Health Informatics (JBHI), 29, no. 12 (2025): 9060 - 9072.  (2024 IF 6.8) link

12. Yubo Zhou, Jianghao Wu, Jia Fu, Qiang Yue, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang*

    Vox-MMSD: Voxel-wise Multi-scale and Multi-modal Self-Distillation for Self-supervised Brain Tumor Segmentation

    IEEE Journal of Biomedical and Health Informatics (JBHI), Eearly acess, 2025.  (2024 IF 6.8) link

13. Xinya Liu, Jianghao Wu, Tao Lu*, Shaoting Zhang, Guotai Wang*

    SRPL-SFDA: Sam-Guided Reliable Pseudo-Labels For Source-Free Domain Adaptation in medical image segmentation

    Neurocomputing, 649,  Oct (2025): 130749.  (2024 IF 6.5) link

14. Jie Wei, Guotai Wang*, Shaoting Zhang

    Fine-grained medical image out-of-distribution detection through multi-view feature uncertainty and adversarial sample generation

    Pattern Recognition, 162,  June (2025): 111401.  (2024 IF 7.6) link

15. 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 Recognition, 160,  April (2025): 111204.  (2024 IF 7.6) link

16. 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 Recognition, 152,  Aug (2024): 110492.  (2024 IF 7.6) link

17. Xiangde Luo, Wenjun Liao, ...,  Shichuan Zhang, Jia Fu Guotai Wang, Shaoting Zhang

    A multicenter dataset for lymph node clinical target volume delineation of nasopharyngeal carcinoma

    Scientific Data, 11, (2024): 1085. link

18. Litingyu Wang, Yijie Qu, Xiangade Luo, Wenjun Liao, Shichuan Zhang, Guotai Wang*

    Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning

    Journal of Machine Learning for Biomedical Imaging, 2, (2024): 1030-1047.  link

19. 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 Analysis, 97,  Oct (2024): 103274. (2024 IF 11.8) link

20. 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

    Computerized Medical Imaging and Graphics, 116,  Sep (2024): 102416. link

21. 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, no. 9 (2024): 128115. (2023 IF 5.5) link

22. 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 Transactions on Medical Imaging, 43, no. 9 (2024): 3098 - 3109. (2024 IF 9.8) link

23. 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 Transactions on Medical Imaging, 43, no. 1 (2024): 175-189. (2024 IF 9.8) link

24. Ran Gu, Guotai Wang*, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang,  Kang Li, Dimitris Metaxas, Shaoting Zhang*

    CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation

    Medical Image Analysis , 89 October (2023): 102904. (2023 IF 10.9) link

25. Guotai Wang,  Shaoting Zhang, Xiaolei Huang, Tom Vercauteren, Dimitris Metaxas

    Editorial for Special Issue on Explainable and Generalizable Deep Learning Methods for Medical Image Computing

    Medical Image Analysis, 84 February (2023): 102727. (2023 IF 10.9) link

26.  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 Analysis, 88 August (2023): 102873. (2023 IF 10.9) link

27. Jianghao Wu, Guotai Wang*,  Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sebastien Ourselin, Shaoting Zhang*

    UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation

    IEEE Transactions on Medical Imaging,  42, no.12 (2023): 3932-3943. (2023 IF 10.6)  link

28. Lanfeng Zhong, Guotai Wang*, Xin Liao, Shaoting Zhang

    HAMIL: High-resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images

    IEEE Transactions on Medical Imaging,  42, no.10 (2023): 2912-2923. (2023 IF 10.6) link

29. 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 Transactions on Medical Imaging, 42, no.1 (2023): 245-256. (2023 IF 10.6) link, arxiv
    

30. 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 Transactions on Medical Imaging, 42, no. 8 (2023): 2235-2246. (2023 IF 10.6) link, arxiv

31. 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 Transactions on Medical Imaging, 42, no. 9  (2023): 2513-2523. (2023 IF 10.6) link

32. Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma*, Guotai Wang*, Lixu Gu

    S3R: Shape and Semantics-based Selective Regularization for Explainable Continual Segmentation across Multiple Sites

    IEEE Transactions on Medical Imaging, 42, no. 9 (2023): 2539-2551. (2023 IF 10.6) link

33. Dejene M. Sime,  Guotai Wang*, Zhi Zeng,  Bei Peng

    Uncertainty-aware and dynamically-mixed pseudo-labels for semi-supervised defect segmentation

    Computers in Industry, 152, (2023): 103995. (2023 IF 10.0) link

34. Dejene M. Sime,  Guotai Wang*, Zhi Zeng,  Wei Wang, Bei Peng*

    Semi-Supervised Defect Segmentation with Pairwise Similarity Map Consistency and Ensemble-Based Cross-Pseudo Labels

    IEEE Transactions on Industrial Informatics, 19, no. 9 (2023): 9535-9545. (2023 IF 12.3) link

35. Honghua Hu, Wei Xu, Ting Jiang, Yuheng Cheng, Xiaoyan Tao, Wenna Liu, Meiling Jian, Kang Li, Guotai Wang*

    Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning

    Clinical Chemistry, 69, no. 2 (2023): 130-139. (2022 IF 12.167) link

36. Xiangde Luo, Wenjun Liao*, Yuan He, Fan Tang, Mengwan Wu, Yuanyuan Shen, Hui Huang, Tao Song, Kang Li, Shichuan Zhang, Shaoting Zhang, Guotai Wang*

    Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center study

    Radiotherapy and Oncology, 180 Martch (2023): 109480. (2022 IF 6.90) link

37. 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

    Computer Methods and Programs in Biomedicine (CMPB), 231 (2023): 107398. (2022 IF 7.027) link arxiv code

38. Jianghao Wu, Dong Guo, Lu Wang, Shuojue Yang, Yuanjie Zheng, Jonathan Shapey, Tom Vercauteren, Sotirios Bisdas, Robert Bradford, Shakeel Saeed, Neil Kitchen, Sebastien Ourselin, Shaoting Zhang, Guotai Wang*

    TISS-Net: Brain Tumor Image Synthesis and Segmentation Using Cascaded Dual-Task Networks and Error-Prediction Consistency

    Neurocomputing, 544 (2023): 126295. link

39. Qianfei Zhao, Guotai Wang*, Wenhui Lei, Hao Fu, Yijie Qu, Jiangshan Lu, Shichuan Zhang, Shaoting Zhang

    Segmentation of multiple organs-at-risk associated with brain tumors based on coarse-to-fine stratified networks

    Medical Physics, 50，no. 7 (2023): 4430-4442. link
    

40. Donghai Xiang, Wei Xu, Yuting Zhang, Bei Peng, Guotai Wang*, Kang Li*

    MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency

    Journal of Visual Communication and Image Representation, 95 (2023): 103902. link

41. 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 Analysis, 82 (2022): 102642. (2022 IF 13.828)  arxiv, link

42. 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 Analysis, 80 (2022): 102517. (2022 IF 13.828)  link

43. 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 Analysis,  75 (2022): 102287. (2022 IF 13.828) link

44. Guotai Wang*, Shuwei Zhai,  Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris Metaxas, Jinghao Zhou, Shaoting Zhang*

    Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention

    IEEE Transactions on Medical Imaging, 31, no. 3(2022): 531-542. (2022 IF 11.037) link, arxiv
    

45. 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 Journal of Biomedical and Health Informatics (JBHI), 26, no. 9 (2022): 4519-4529.  (2022 IF 7.021)  link

46. 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 Journal of Biomedical and Health Informatics (JBHI), 26, no. 8 (2022): 3673-3684. (2022 IF 7.021) link

47. Wei Xu, Donghai Xiang, Guotai Wang*, Ruisong Liao, Ming Shao*, Kang Li*

    Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN)

    IEEE Transactions on Human-Machine Systems, 52, no. 2 (2022): 196-206.  link

48. Wenjun Liao, Jinlan He, Xiangde Luo, Mengwan Wu, Yuanyuan Shen, Churong Li, Jianghong Xiao, Guotai Wang, Nianyong Chen

    Automatic Delineation of Gross Tumor Volume Based on Magnetic Resonance Imaging by Performing a Novel Semisupervised Learning Framework in Nasopharyngeal Carcinoma

    International Journal of Radiation Oncology Biology Physics, 113, no. 4 (2022): 893-902. (2022 IF 8.013) link

49. Xin Qi, Jun Kong, Fuyong Xing, Guotai Wang, Zhuotun Zhu

    Editorial: Advances in AI methods for computational pathology

    Frontiers in Medicine, 9 (2022): 974857. link
    

50. Lu Wang, Dong Guo, Guotai Wang*, Shaoting Zhang

    Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning

    IEEE Transactions on Medical Imaging, 40, no. 10(2021): 2795-2807. (2021 IF 10.048) link, arxiv

51. Zuhao Liu, Chao Sun, Huan Wang, Zhiqi Li, Yibo Gao, Wenhui Lei, Shichuan Zhang, Guotai Wang*,  Shaoting Zhang

    Automatic segmentation of organs-at-risks of nasopharynx cancer and lung cancer by cross-layer attention fusion network with TELD-Loss

    Medical Physics, 48(2021): 6987-7002. (第一作者刘祖浩为本科生) link

52. Xiangde Luo, Guotai Wang*, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang

    MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning.

    Medical Image Analysis, 72 (2021): 102102. (2021 IF 8.545) link, arxiv

53. Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang. 

    Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

    Neurocomputing, 438 (2021): 211-222. (2019 IF 4.44, 2nd place of Nasopharynx Cancer GTV segmentation in StructSeg challenge held in MICCAI 2019), code, link

54. 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 (2021): 184-199. (2019 IF 4.44) code, arxiv, link

55. 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 Analysis, 65 (2020): 101787. (2020 IF 11.15) link

56. Michael Ebner1*, Guotai Wang1*, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Steven Dymarkowski, Paolo De Coppi, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren

    An Automated Framework for Localization, Segmentation and Super-resolution Reconstruction of Fetal Brain MRI

    NeuroImage 206 (2020):116324. (2020 IF 5.90)  [code] [pdf] 

57. Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren

    Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks with Uncertainty Estimation

    Frontiers in Computational Neuroscience, 13 (2019): 56. (Won the 2nd palce of MICCAI brain tumor segmentation (BraTS) challenge 2017) [code][pdf]

58. Jonathan Shapey, Guotai Wang, Reuben Dorent, Alexis Dimitriadis, Wenqi Li, Ian Paddick, Neil Kitchen, Sotirios Bisdas, Shakeel R Saeed, Sebastien Ourselin, Robert Bradford, Tom Vercauteren

    An Artificial Intelligence Framework for Automatic Segmentation and Volumetry of Vestibular Schwannomas from Contrast-Enhanced T1-Weighted and High-Resolution T2-Weighted MRI

    Journal of NeuroSurgery  Dec 6(2019):1-9.  link 

59. Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Zhenghui Shi, and Lixu Gu

    Vesselness-Constrained Robust PCA for Vessel Enhancement in X-Ray Coronary Angiograms

    Physics in Medicine & Biology 63, no. 15 (2018): 155019. [pdf]

60. Eli Gibson, Wenqi Li, Carole Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen et al.

    NiftyNet: A Deep-Learning Platform for Medical Imaging

    Computer Methods and Programs in Biomedicine 158 (2018): 113-122.  [pdf]

61. Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, and Sébastien Ourselin

    Slic-Seg: A Minimally Interactive Segmentation of the Placenta from Sparse and Motion-Corrupted Fetal MRI in Multiple Views

    Medical Image Analysis 34 (2016): 137-147. (2016 IF 4.19) [code] [pdf]

62. Guotai Wang, Shaoting Zhang, Hongzhi Xie, Dimitris N. Metaxas, and Lixu Gu

    A Homotopy-Based Sparse Representation for Fast and Accurate Shape Prior Modeling in Liver Surgical Planning

    Medical Image Analysis 19, no. 1 (2015): 176-186. (2015 IF 4.57) [pdf]

63. Guotai Wang, Shaoting Zhang, Feng Li, and Lixu Gu

    A New Segmentation Framework based on Sparse Shape Composition in Liver Surgery Planning System

    Medical Physics 40, no. 5 (2013): 051913. (期刊封面论文) [pdf]

期刊论文  /  会议论文   /  高被引论文  /  临床合作论文

1. Xiaochuan Ma, Jia Fu, Lanfeng Zhong, Ning Zhu, Guotai Wang*

   SUGFW: A SAM-Based Uncertainty-Guided Feature Weighting Framework for Cold Start Active Learning

   MICCAI 2025, pp. 579-588.  link

2. Lanfeng Zhong, Xin Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang*

   OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models

   MICCAI 2025, pp. 481-490.  link

3. Zihao Luo, Zijun Gao, Wenjun Liao, Shichuan Zhang, Guotai Wang*, Xiangde Luo*

   Dynamic Gradient Sparsification Training for Few-Shot Fine-Tuning of CT Lymph Node Segmentation Foundation Model

   MICCAI 2025, pp. 165-174.  link

4. Boyi Xiao, Jianghao Wu, Lanfeng Zhong, Xiaoguang Zou, Yuanquan Wu, Guotai Wang*, Shaoting Zhang*

   DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs

   MICCAI 2025, pp. 141-151.  link

5. Ning Zhu, Ping Ye, Lanfeng Zhong, Qiang Yue, Shaoting Zhang, Guotai Wang*

   CSAL-3D: Cold-Start Active Learning for 3D Medical Image Segmentation via SSL-Driven Uncertainty-Reinforced Diversity Sampling

   MICCAI 2025, pp. 120-130.  link

6. Yubo Zhou, Jianghao Wu, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang*

   TEGDA: Test-Time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation

   MICCAI 2025, pp. 628-637.  link

7. Jia Fu, He Li, Tao Lu, Shaoting Zhang, Guotai Wang*

   UM-SAM: Unsupervised Medical Image Segmentation Using Knowledge Distillation from Segment Anything Model

   MICCAI 2025, pp. 616-626.  link

8. Xiaoran Qi, Guoning Zhang, Jianghao Wu, Shaoting Zhang, Xiaorong Hou*, Guotai Wang*

   FDAS : Foundation Model Distillation and Anatomic Structure-Aware Multi-task Learning for Self-Supervised Medical Image Segmentation

   MICCAI 2025, pp. 192-202.  link

9. Jie Wei, Xiaohui Hu, Shaoting Zhang, Guotai Wang*

   StyleGAN-Based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap

   MICCAI 2025, pp. 568-578.  link

10. Litingyu Wang, Ping Ye, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wan*

    ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-Instance Annotation

    MICCAI 2025, pp. 507-517.  link

11. Xianhao Zhou, Jianghao Wu, Huangxuan Zhao, Lei Chen, Shaoting Zhang, Guotai Wang*

    GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT

    SASHIMI@MICCAI 2025, pp. 13-21.  link

12. Xiaochuan Ma, Jia Fu, Wenjun Liao, Shichuan Zhang, Guotai Wang*

    CLISC: Bridging Clip and SAM by Enhanced CAM for Unsupervised Brain Tumor Segmentation

    IEEE ISBI 2025.  link

13. Xiangyu Sun, Xiaoguang Zou, Yuanquan Wu, Guotai Wang*, Shaoting Zhang

    Fairness Analysis of Clip-Based Foundation Models for X-Ray Image Classification

    IEEE ISBI 2025.  link

14. Zihao Luo, Xiangde Luo, Zijun Gao, Guotai Wang*

    An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation

    MICCAI 2024, pp. 107-117.  link

15. Guoning Zhang, Xiaoran Qi, Bo Yan*, Guotai Wang*

    IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

    MICCAI 2024, pp. 350-361.  link

16. 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 2024, pp. 531-541.  link

17. 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

    IEEE ISBI 2024.  link

18. Weiren Zhao, Lanfeng Zhong, Guotai Wang*

    SEMI-CONTRANS: Semi-Supervised Medical Image Segmentation via Multi-Scale Feature Fusion and Cross Teaching of CNN and Transformer

    IEEE ISBI 2024.  link

19. Ping Ye, He Li, Shaoting Zhang, Guotai Wang*

    Semi-Supervised Medical Image Segmentation via Multi-Group Network with Consistency Among Heterogeneous Loss Supervision

    IEEE ISBI 2024.  link

20. Yubo Zhou, Ran Gu, Shaoting Zhang, Guotai Wang*

    Self-Supervised Pre-Training Based On Contrastive Complementary Masking for Semi-Supervised Cardiac Image Segmentation

    IEEE ISBI 2024.  link

21. 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, pp. 237-249.  link

22. Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang*

    Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions

    MICCAI 2023, pp. 570-579.  arxiv, pdf

23. 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 2023, pp 33-42. arxiv, pdf

24. Jia Fu, Tao Lu, Shaoting Zhang, Guotai Wang*

    UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation

    MICCAI 2023, pp. 315-324. arxiv, pdf

25. Jie Wei,  Guotai Wang*

    Fine-grained Our-of-distribution Detection of Medical Images using Combination of Featue Uncertainty and Mahalanobis Distance

    IEEE ISBI 2023. pdf

26. Baosheng Zou, Zongguang Zhou, Ying Han, Kang Li, Guotai Wang*

    Multi-scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation

    IEEE ISBI, 2023. pdf
    

27. 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 2022, pp 528-538. pdf, code

28. Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang*, Shaoting Zhang

    FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation

    IEEE ISBI, 2022. link (Oral presentation)

29. Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang*, Shaoting Zhang

    Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

    MIDL 2022, pp. 1-14.  link

30. Xiangde Luo, Wenjun Liao, Jienneg 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 2021, pp 318-329. pdf, code

31. 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 2021, pp 155-165. pdf, code

32. Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang*, Shaoting Zhang

    Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation

    MICCAI 2021, pp 241-250. pdf

33. Jingyang Zhang, Ran Gu, Guotai Wang, Lixu Gu

    Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites

    MICCAI 2021, pp 389-399. pdf

34. Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang*, Shaoting Zhang

    Semi-supervised Medical Image Segmentation through Dual-task Consistency

    AAAI 2021, pp 8801-8809. pdf, code

35. Qianfei Zhao, Huan Wang, Guotai Wang*

    LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images

    IEEE ISBI 2021, pp 42-45. link

36. Jingyang Zhang, Ran Gu, Guotai Wang*, Hongzhi Xie, Lixu Gu*

    SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation

    IEEE ISBI 2021, pp 1227-1231. link

37. Xu Chen, Xiangde Luo, Guotai Wang*, Yalin Zheng*

    Deep Elastica For Image Segmentation

    IEEE ISBI 2021, pp 706-710, 2021. link

38.  Haoyang Wu, Huan Wang, Hao He, Zixiao He, Guotai Wang*

    A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation

    IEEE ISBI 2021, pp 1768-1772, 2021. (第一作者吴昊洋为本科生) link

39. 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 , pp 3075-3078. (第一作者高一博为本科生) link

40. Guotai Wang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang

    Uncertainty-Guided Interactive Refinement of Fetal Brain Segmentation

    MICCAI 2020, pp 279-288. link, pdf, code

41. Tao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Guotai Wang, Shaoting Zhang

    CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans

    MICCAI 2020, pp 550-559. link

42. 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 2020, pp 263-272. (第一作者刘祖浩为大二本科生) link

43. Zuhao Liu, Huan Wang, Wenhui Lei, Guotai Wang

    CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images

    IEEE ISBI 2020, pp 1522-1525. (第一作者刘祖浩为大二本科生) link

44. Shuwei Zhai, Ran Gu, Wenhui Lei, Guotai Wang

    Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble

    MICCAI MyoPS 2020, pp 49-59. (Champion of Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge of MICCAI 2020), link, pdf, code

45. Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sebastien Ourselin, Tom Vercauteren

    Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss

    MICCAI 2019, pp 264-272. link
    

46. Huan Wang, Guotai Wang, Zhihan Xu, Wenhui Lei, Shaoting Zhang

    High-and Low-Level Feature Enhancement for Medical Image Segmentation

    MICCAI MIML workshop 2019, pp. 611-619. link

47. Huan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang

    Automated Segmentation of Skin Lesion Based on Pyramid Attention Network

    MICCAI MIML workshop 2019, pp. 435-443. link

48. 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, pp. 61-69. link
    

49. Michael Ebner¹*, Guotai Wang¹*, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren

    An automated localization, segmentation and reconstruction framework for fetal brain MRI

    MICCAI 2018, pp. 313-320. [code] [pdf] 

50. Guotai Wang, Wenqi Li, Sébastien Ourselin, and Tom Vercauteren

    Automatic brain tumor segmentation using convolutional neural networks with test-time augmentation

    MICCAI Brainlesion Workshop 2018, pp. 61-72. link

51. Guotai Wang, Wenqi Li, Sébastien Ourselin, and Tom Vercauteren

    Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks

    MICCAI Brainlesion Workshop 2017, pp. 178-190. (2nd palce of BraTS challenge 2017, code, arxiv, link)

52. Wenqi Li, Guotai Wang, Lucas Fidon, Sebastien Ourselin, M. Jorge Cardoso, and Tom Vercauteren

    On the compactness, efficiency, and representation of 3D convolutional networks: brain parcellation as a pretext task

    IPMI 2017, pp. 348-360. link

53. Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, and Sébastien Ourselin

    Dynamically balanced online random forests for interactive scribble-based segmentation

    MICCAI 2016 pp. 352-360. link

54. Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Anna L. David, Jan Deprest, Tom Vercauteren, and Sebastien Ourselin

    Slic-Seg: slice-by-slice segmentation propagation of the placenta in fetal MRI using one-plane scribbles and online learning

    MICCAI 2015, pp. 29-37. link

55. Guotai Wang, Shaoting Zhang, and Lixu Gu

    Scalable sparse shape composition and its application to liver surgical planning

    IEEE ISBI 2014, pp. 377-380. link

56. Guotai Wang, Shaoting Zhang, Feng Li, and Lixu Gu

    Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system

    EMBC 2013, pp. 6075-6078. link

期刊论文  /  会议论文   /  高被引论文  /  临床合作论文

1. 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 Transactions on Medical Imaging, 40, no. 2(2021): 699-711. (2021 IF 10.048) link, arxiv, code

2. 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 Transactions on Medical Imaging, 39, no. 8(2020): 2653-2663. (2020 IF 6.69) link, code, data  

3. Guotai Wang, Maria A Zuluaga, Wenqi Li, Rosalind Pratt, Premal A Patel, Michael Aertsen, Tom Doel, Anna L David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren

   DeepIGeoS: A deep Interactive Geodesic Framework for Medical Image Segmentation

   IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, no. 7(2019): 1559-1572. (2019 IF 17.86) [pdf]

4. Guotai Wang, Wenqi Li, Maria A Zuluaga, Rosalind Pratt, Premal A Patel, Michael Aertsen, Tom Doel, Anna L David, Jan Deprest, Sebastien Ourselin, Tom Vercauteren

   Interactive medical image segmentation using deep learning with image-specific fine tuning

   IEEE Transactions on Medical Imaging, 37, no. 7(2018): 1562- 1573.  (2018 IF 7.82) [pdf]

5. Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren

   Aleatoric Uncertainty Estimation with Test-Time Augmentation for Medical Image Segmentation with Convolutional Neural Networks

   Neurocomputing, 338 (2019): 34- 45.  (2019 IF 4.4) [pdf]

6. Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang et al

   Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

   Medical Image Analysis 49 (2018): 1-13. (2018 IF 8.88) [pdf]

期刊论文  /  会议论文   /  高被引论文  /  临床合作论文

1. Pinzhen Chen, Ping Ye, Taotao Yang, ..., Jing Li*, Guotai Wang*, Wei Chen*

   Deep learning-based assessment of paraspinal muscle degeneration and its relationships to muscle function and disability outcomes in chronic low back pain: a prospective study

   European Radiology, Dec (2025).  link  (西南医院合作)

2. Xiangde Luo, Hongqiu Wang, Jinfeng Xu, Lu Li, Yue Zhao, Yuan He, Hui Huang, Jianghong Xiao, Tao Song, Shichuan Zhang, Shaoting Zhang, Guotai Wang, Wenjun Liao* 

   Generalizable Magnetic Resonance Imaging-based Nasopharyngeal Carcinoma Delineation: Bridging Gaps Across Multiple Centers and Raters With Active Learning

   International Journal of Radiation Oncology Biology Physics, 121, no. 5 (2025): 1384-1393. (2025 IF 6.5) link  (四川省肿瘤医院合作)

3. Shuang Li, Xin Fang, Yuqi Jin, YuJiao Deng, Wei Hu, Bing Wu, Xiaobo Zhou, Guotai Wang, Kang Li*, Qiang Yue*

   Improving diagnostic accuracy in preoperative glioma classification: performance of knowledge-enhanced large language models compared with radiologists

   npj Precision Oncology, 9, (2025): 303. (2025 IF 8.0) link  (华西医院合作)

4. Honghua Hu, Wei Xu, Ting Jiang, Yuheng Cheng, Xiaoyan Tao, Wenna Liu, Meiling Jian, Kang Li, Guotai Wang*

   Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning

   Clinical Chemistry, 69, no. 2 (2023): 130-139. (2022 IF 12.167) link (四川省人民医院合作)

5. Wenjun Liao, Jinlan He, Xiangde Luo, Mengwan Wu, Yuanyuan Shen, Churong Li, Jianghong Xiao, Guotai Wang, Nianyong Chen*

   Automatic Delineation of Gross Tumor Volume Based on Magnetic Resonance Imaging by Performing a Novel Semisupervised Learning Framework in Nasopharyngeal Carcinoma

   International Journal of Radiation Oncology Biology Physics, 113, no. 4 (2022): 893-902. (2022 IF 8.013) link  (华西医院合作)