Publications

2024

1. ISBI

   RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation

   Xinya Liu, Jianghao Wu, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, and Guotai Wang

   In International Symposium on Biomedical Imaging (ISBI), 2024

   Bib

   @inproceedings{liu2024rpl,
     title = {RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation},
     author = {Liu, Xinya and Wu, Jianghao and Luo, Xiangde and Liao, Wenjun and Zhang, Shichuan and Zhang, Shaoting and Wang, Guotai},
     booktitle = {International Symposium on Biomedical Imaging (ISBI)},
     pages = {1--5},
     year = {2024},
   }

2. TMI

   FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation

   Jianghao Wu, Dong Guo, Guotai Wang, Qiang Yue, Huijun Yu, Kang Li, and Shaoting Zhang

   IEEE Transactions on Medical Imaging (TMI), 2024

   arXiv Bib Code

   @article{wu2024fpl+,
     title = {FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation},
     author = {Wu, Jianghao and Guo, Dong and Wang, Guotai and Yue, Qiang and Yu, Huijun and Li, Kang and Zhang, Shaoting},
     journal = {IEEE Transactions on Medical Imaging (TMI)},
     year = {2024},
     volume = {43},
     number = {9},
     pages = {3098-3109},
   }

2023

1. IPMI

   UPL-TTA: Uncertainty-aware pseudo label guided fully test time adaptation for fetal brain segmentation

   Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, and Guotai Wang

   In International Conference on Information Processing in Medical Imaging(IPMI), 2023

   arXiv Bib

   @inproceedings{wu2023upl,
     title = {UPL-TTA: Uncertainty-aware pseudo label guided fully test time adaptation for fetal brain segmentation},
     author = {Wu, Jianghao and Gu, Ran and Lu, Tao and Zhang, Shaoting and Wang, Guotai},
     booktitle = {International Conference on Information Processing in Medical Imaging(IPMI)},
     pages = {237--249},
     year = {2023},
   }

2. TMI

   UPL-SFDA: Uncertainty-aware pseudo label guided source-free domain adaptation for medical image segmentation

   Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, and Shaoting Zhang

   IEEE Transactions on Medical Imaging (TMI), 2023

   arXiv Bib Code

   @article{wu2023upm,
     title = {UPL-SFDA: Uncertainty-aware pseudo label guided source-free domain adaptation for medical image segmentation},
     author = {Wu, Jianghao and Wang, Guotai and Gu, Ran and Lu, Tao and Chen, Yinan and Zhu, Wentao and Vercauteren, Tom and Ourselin, S{\'e}bastien and Zhang, Shaoting},
     journal = {IEEE Transactions on Medical Imaging (TMI)},
     year = {2023},
     volume = {42},
     number = {12},
     pages = {3932-3943},
   }

3. Neurocomputing

   TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency

   Jianghao Wu, Dong Guo, Lu Wang, Shuojue Yang, Yuanjie Zheng, Jonathan Shapey, Tom Vercauteren, Sotirios Bisdas, Robert Bradford, Shakeel Saeed, and  others

   Neurocomputing, 2023

   Bib

   @article{wu2023tiss,
     title = {TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency},
     author = {Wu, Jianghao and Guo, Dong and Wang, Lu and Yang, Shuojue and Zheng, Yuanjie and Shapey, Jonathan and Vercauteren, Tom and Bisdas, Sotirios and Bradford, Robert and Saeed, Shakeel and others},
     journal = {Neurocomputing},
     volume = {544},
     pages = {126295},
     year = {2023},
   }

4. MedIA

   A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation

   Xiaowei Xu, Yinan Chen, Jianghao Wu, Jiangshan Lu, Yuxiang Ye, Yechong Huang, Xin Dou, Kang Li, Guotai Wang, Shaoting Zhang, and  others

   Medical Image Analysis (MedIA), 2023

   Bib

   @article{xu2023novel,
     title = {A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation},
     author = {Xu, Xiaowei and Chen, Yinan and Wu, Jianghao and Lu, Jiangshan and Ye, Yuxiang and Huang, Yechong and Dou, Xin and Li, Kang and Wang, Guotai and Zhang, Shaoting and others},
     journal = {Medical Image Analysis (MedIA)},
     volume = {88},
     pages = {102873},
     year = {2023},
   }

5. MedIA

   CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

   Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, and  others

   Medical Image Analysis, 2023

   Bib

   @article{dorent2023crossmoda,
     title = {CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation},
     author = {Dorent, Reuben and Kujawa, Aaron and Ivory, Marina and Bakas, Spyridon and Rieke, Nicola and Joutard, Samuel and Glocker, Ben and Cardoso, Jorge and Modat, Marc and Batmanghelich, Kayhan and others},
     journal = {Medical Image Analysis},
     volume = {83},
     pages = {102628},
     year = {2023},
   }

6. arXiv

   MIS-FM: 3d medical image segmentation using foundation models pretrained on a large-scale unannotated dataset

   Guotai Wang, Jianghao Wu, Xiangde Luo, Xinglong Liu, Kang Li, and Shaoting Zhang

   arXiv preprint arXiv:2306.16925, 2023

   arXiv Bib Code

   @article{wang2023mis,
     title = {MIS-FM: 3d medical image segmentation using foundation models pretrained on a large-scale unannotated dataset},
     author = {Wang, Guotai and Wu, Jianghao and Luo, Xiangde and Liu, Xinglong and Li, Kang and Zhang, Shaoting},
     journal = {arXiv preprint arXiv:2306.16925},
     year = {2023},
   }

2022

1. ISBI

   FPL-UDA: Filtered pseudo label-based unsupervised cross-modality adaptation for vestibular schwannoma segmentation

   Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang, and Shaoting Zhang

   In International Symposium on Biomedical Imaging (ISBI), 2022

   Bib Code

   @inproceedings{wu2022fpl,
     title = {FPL-UDA: Filtered pseudo label-based unsupervised cross-modality adaptation for vestibular schwannoma segmentation},
     author = {Wu, Jianghao and Gu, Ran and Dong, Guiming and Wang, Guotai and Zhang, Shaoting},
     booktitle = {International Symposium on Biomedical Imaging (ISBI)},
     pages = {1--5},
     year = {2022},
     price = {Oral},
   }