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

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高被引论文

  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. 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 10.048linkarxivcode

  3. 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 6.69linkcodedata  

  4. 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]

  5. 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]

  6. 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]

  7. 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]


其他期刊论文

  1. Meng Han, Xiangde Luo, Xiangjiang Xie, Wenjun Liao, Shichuan Zhang, Tao Snog,  Guotai Wang*, Shaoting Zhang*. “DMSPS: Dynamically Mixed Soft Pseudo-label Supervision for Scribble-Supervised Medical Image Segmentation” Medical Image Analysis , Early Access, 2024. (2023 IF 10.9) link

  2. 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, Eary Access, 2024 (2023 IF 10.6) pdf, link

  3. 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

  4. 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, Auguest (2024): 110492(2023 IF 8.0) link

  5. 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, June (2024): 128115(2023 IF 5.5) link

  6. 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, 2024, Eearly Access(2023 IF 5.4) link

  7. 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

  8. 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

  9.  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 10.9link

  10. 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

  11. 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 10.6link

  12. 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) linkarxiv

  13. 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 10.6linkarxiv

  14. 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 Imaging42, no. 9  (2023): 2513-2523. (2023 IF 10.6link

  15. 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 Imaging42, no. 9 (2023): 2539-2551. (2023 IF 10.6link

  16. Dejene M. Sime,  Guotai Wang*, Zhi Zeng,  Bei PengUncertainty-aware and dynamically-mixed pseudo-labels for semi-supervised defect segmentation.Computers in Industry, 152, (2023): 103995. (2023 IF 10.0) link

  17. 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

  18. 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

  19. 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

  20. 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 7.027link arxiv code

  21. 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

  22. 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

  23. 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

  24. 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)  arxivlink 

  25. 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 

  26. 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) linkarxiv

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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) linkarxiv

  33. 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

  34. 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 Analysis72 (2021): 102102(2021 IF 8.545) linkarxiv

  35. 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)codelink

  36. 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) codearxivlink

  37. 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

  38. 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

  39. 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]

  40. 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 

  41. 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]

  42. 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]

  43. 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]

  44. 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]

  45. 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, Zihan Li, Shaoting Zhang, Wenjun Liao, Guotai Wang*. "Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: a robustness evaluation benchmark with challenging cases", in MICCAI, 2024. (Accepted) arxiv 

  2. 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", in MICCAI, 2024. (Accepted)

  3. Zihao Luo, Xiangde Luo, Zijun Gao, Guotai Wang*. "An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation", in MICCAI, 2024. (Accepted)

  4. Yubo Zhou, Ran Gu, Shaoting Zhang, Guotai Wang*. "Self-supervised pre-training based on Contrastive Complementary Masking for semi-supervised cardiac image segmentation", in ISBI, 2024. (Accepted)

  5. Ping Ye, He Li, Shaoting Zhang, Guotai Wang*. "Semi-supervised medical image segmentation via Multi-Group Network with Consistency among Heterogeneous Loss supervision", in ISBI, 2024. (Accepted)

  6. 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", in ISBI, 2024. (Accepted)

  7. 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", in ISBI, 2024. (Accepted)

  8. 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

  9. Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang*"Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions", in  MICCAI, pp. 570-579, 2023.  arxivpdf

  10. 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", in  MICCAI, pp 33-42, 2023. arxivpdf

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

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

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

  14. 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 MICCAIpp 528-538, 2022. pdfcode

  15. 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 IEEE ISBI, 2022. link (Oral presentation)

  16. 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

  17. 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", in MICCAI, pp 318-329, 2021. pdf, code

  18. 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 ", in MICCAI, pp 155-165, 2021. pdfcode

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

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

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

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

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

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

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

  26. 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

  27. 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

  28. 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 MICCAI, pp 550-559, 2020. link

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

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

  31. 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), linkpdf, code

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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, arxivlink)

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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