王国泰 (教授)

教授 博士生导师

性别：男

毕业院校：伦敦大学

学历：博士研究生毕业

学位：工学博士学位

在职信息：在职人员

所在单位：机械与电气工程学院

入职时间：2018-10-11

学科：生物医学工程
机械工程

办公地点：电子科技大学（清水河校区）主楼C1-501

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期刊论文  /     /    /  医院合作论文

  1. 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. (2023 IF 10.6) link

  2. 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

  3. 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

  4.  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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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] 

  35. 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]

  36. 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 

  37. 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]

  38. 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]

  39. 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]

  40. 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]

  41. 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]