王国泰 (副教授)

副教授 硕士生导师

主要任职:副教授

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

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竞赛获奖论文

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

  2. 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

  3. 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, 3rd place of Nasopharynx Cancer OAR segmentation in StructSeg challenge held in MICCAI 2019) codearxiv, link

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



期刊论文

  1. 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

  2. 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, Accepted on Dec 21, 2020. (2021 IF 10.048) link, arxiv

  3. 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

  4. 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 11.15link

  5. 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  

  6. 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 Superresolution Reconstruction of Fetal Brain MRI." NeuroImage 206 (2020):116324. (2020 IF 5.90)  [code] [pdf

  7. 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: 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]

  8. Jonathan Shapey1*, Guotai Wang1, 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. (2018 IF 4.13) link

  9. 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 4.44) [pdf]

  10. 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]

  11. 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 Segmentation of Medical Images using Deep Learning with Image-specifific Fine-tuning.” IEEE Transactions on Medical Imaging, 37, no. 7(2018): 1562- 1573.  (2018 IF 7.82) (ESI高被引) [pdf]

  12. 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]

  13. 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. (ESI高被引) [pdf]

  14. 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]

  15. 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]

  16. 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]

  17. 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]



会议论文

  1. 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", Accepted by MICCAI 2021. pdf, code

  2. Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang*. "One-Shot Object Localization in Medical Images based on Relative Position Regression", Accepted by MICCAI 2021. pdf

  3. Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Shaoting Zhang, Guotai Wang*. "Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation", Accepted by MICCAI 2021.

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

  5.  Haoyang Wu, Huan Wang, Hao He, Zixiao He, Guotai Wang*, "A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation", in  IEEE International Symposium on Biomedical Imaging (ISBI), pp 1768-1772, 2021. (第一作者吴昊洋为大二本科生) link

  6. Qianfei Zhao, Huan Wang, Guotai Wang*. "LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images", in IEEE International Symposium on Biomedical Imaging (ISBI), pp 42-45, 2021. link, code 

  7. Guotai Wang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang. "Uncertainty-Guided Interactive Refinement of Fetal Brain Segmentation", in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp 279-288, 2020. link, pdf, code

  8. 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", in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp 550-559, 2020. link

  9. 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", in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp 263-272, 2020. (第一作者刘祖浩为大二本科生) link

  10. 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". In IEEE International Symposium on Biomedical Imaging (ISBI), pp 1522-1525, 2020. (第一作者刘祖浩为大二本科生) link

  11. 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 International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp 264-272, 2019. link

  12. Huan Wang, Guotai Wang, Zhihan Xu, Wenhui Lei, Shaoting Zhang. "High-and Low-Level Feature Enhancement for Medical Image Segmentation." In International Workshop on Machine Learning in Medical Imaging, pp. 611-619, 2019. link

  13. Huan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang. "Automated Segmentation of Skin Lesion Based on Pyramid Attention Network." In International Workshop on Machine Learning in Medical Imaging, pp. 435-443, 2019. link

  14. 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

  15. 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 International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 313-320, 2018. [code] [pdf

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

  17. 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 International Conference on Information Processing in Medical Imaging (IPMI), pp. 348-360, 2017. link

  18. 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 International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 352-360, 2016. link

  19. 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 International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 29-37, 2015. link

  20. Guotai Wang, Shaoting Zhang, and Lixu Gu. "Scalable sparse shape composition and its application to liver surgical planning." In IEEE International Symposium on Biomedical Imaging (ISBI), pp. 377-380, 2014. link

  21. Guotai Wang, Shaoting Zhang, Feng Li, and Lixu Gu. "Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system." In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6075-6078, 2013. link