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：在岗

所在单位：机械与电气工程学院

入职时间：2018-10-11

学科：机械工程
生物医学工程

办公地点：电子科技大学（清水河校区）主楼C1-501

同专业博导   
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  • 一，半监督、弱监督、噪声标签学习

    1. 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

    2. 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

    3. 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

    4. 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

    5. 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

    6. 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

    7. 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

    8. 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

    9. 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


    二，交互式图像分割

    1. 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

    2. 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

    3. 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

    4. 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) pdf


    三，领域适应与泛化

    1. 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

    2. 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

    3.  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

    4. 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

    5. 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


    四，肿瘤放疗勾画

    1. 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

    2. 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) link

    3. 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

    4. 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

    5. 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), link

    6. 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) link