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

期刊论文///医院合作论文


  1. 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", in IPMI, pp. 237-249, 2023.link

  2. Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang*."Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions", inMICCAI, pp. 570-579, 2023.arxiv,pdf

  3. 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", inMICCAI, pp 33-42, 2023.arxiv,pdf

  4. Jia Fu, Tao Lu, Shaoting Zhang, Guotai Wang*."UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation", inMICCAI, pp. 315-324, 2023.arxiv,pdf

  5. Jie Wei, Guotai Wang*."Fine-grained Our-of-distribution Detection of Medical Images using Combination of Featue Uncertainty and Mahalanobis Distance", inIEEE ISBI, 2023.pdf

  6. Baosheng Zou, Zongguang Zhou, Ying Han, Kang Li, Guotai Wang*."Multi-scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation", inIEEE ISBI, 2023.pdf

  7. 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", in MICCAI, pp 528-538, 2022.pdf,code

  8. Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang*, Shaoting Zhang."FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation", in IEEEISBI, 2022.link(Oral presentation)

  9. Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang*, Shaoting Zhang,"Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer", in MIDL, pp. 1-14, 2022.link

  10. 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", inMICCAI, pp 318-329, 2021.pdf,code

  11. 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",inMICCAI, pp 155-165, 2021.pdf,code

  12. Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang*, Shaoting Zhang."Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation",inMICCAI, pp 241-250, 2021.pdf

  13. Jingyang Zhang, Ran Gu, Guotai Wang, Lixu Gu,"Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites", in MICCAI,pp 389-399, 2021.pdf

  14. Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang*, Shaoting Zhang. "Semi-supervised Medical Image Segmentation through Dual-task Consistency", inAAAI, pp 8801-8809,2021.pdf,code

  15. Qianfei Zhao, Huan Wang, Guotai Wang*. "LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images", inIEEE ISBI, pp 42-45, 2021.link

  16. Jingyang Zhang, Ran Gu, Guotai Wang*, Hongzhi Xie, Lixu Gu*."SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation", inIEEE ISBI, pp 1227-1231, 2021.link

  17. Xu Chen, Xiangde Luo, Guotai Wang*, Yalin Zheng*. "Deep Elastica For Image Segmentation", inIEEE ISBI, pp 706-710, 2021.link

  18. Haoyang Wu, Huan Wang, Hao He, Zixiao He, Guotai Wang*, "A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation", inIEEE ISBI, pp 1768-1772, 2021.(第一作者吴昊洋为本科生)link

  19. 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", in EMBC, pp 3075-3078, 2021.(第一作者高一博为本科生)link

  20. Guotai Wang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang."Uncertainty-Guided Interactive Refinement of Fetal Brain Segmentation", in MICCAI, pp 279-288, 2020.link,pdf,code

  21. 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",inMICCAI, pp 550-559, 2020.link

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

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

  24. Shuwei Zhai, Ran Gu, Wenhui Lei, Guotai Wang,"Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble",MyoPS2020, pp 49-59, 2020. (Champion of Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge of MICCAI 2020),link,pdf,code

  25. 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". In MICCAI, pp 264-272, 2019.link

  26. Huan Wang, Guotai Wang, Zhihan Xu, Wenhui Lei, Shaoting Zhang. "High-and Low-Level Feature Enhancement for Medical Image Segmentation." In MICCAI MIML workshop pp. 611-619, 2019.link

  27. Huan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang. "Automated Segmentation of Skin Lesion Based on Pyramid Attention Network." In MICCAI MIML workshop, pp. 435-443, 2019.link

  28. 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." In Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, pp. 61-69, 2019.link

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

  30. Guotai Wang, Wenqi Li, Sébastien Ourselin, and Tom Vercauteren."Automatic brain tumor segmentation using convolutional neural networks with test-time augmentation." In MICCAI Brainlesion Workshop, pp. 61-72, 2018.link

  31. Guotai Wang, Wenqi Li, Sébastien Ourselin, and Tom Vercauteren."Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks." In MICCAI Brainlesion Workshop, pp. 178-190, 2017. (2nd palce of BraTS challenge 2017,code,arxiv,link)

  32. 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." In IPMI, pp. 348-360, 2017.link

  33. 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." In MICCAI pp. 352-360, 2016.link

  34. 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." In MICCAI, pp. 29-37, 2015.link

  35. Guotai Wang, Shaoting Zhang, and Lixu Gu. "Scalable sparse shape composition and its application to liver surgical planning." In IEEE ISBI, pp. 377-380, 2014.link

  36. Guotai Wang, Shaoting Zhang, Feng Li, and Lixu Gu."Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system." In EMBC, pp. 6075-6078, 2013.link




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