FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation. - Jianghao Wu 001; Ran Gu; Guiming Dong; Guotai Wang; Shaoting Zhang 001 (ISBI, 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation. - Jianghao Wu 001; Ran Gu; Tao Lu; Shaoting Zhang 001; Guotai Wang (IPMI, 2023)

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset. - Guotai Wang; Jianghao Wu 001; Xiangde Luo; Xinglong Liu; Kang Li 004; Shaoting Zhang 001 (CoRR, 2023)

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 001; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (CoRR, 2023)

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; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. - Jianghao Wu 001; Dong Guo; Lu Wang; Shuojue Yang; Yuanjie Zheng; Jonathan Shapey; Tom Vercauteren; Sotirios Bisdas; Robert Bradford; Shakeel R. Saeed; Neil Kitchen; Sébastien Ourselin; et al. (Neurocomputing, 2023)

A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation. - Xiaowei Xu; Yinan Chen; Jianghao Wu 001; Jiangshan Lu; Yuxiang Ye; Yechong Huang; Xin Dou; Kang Li 004; Guotai Wang; Shaoting Zhang 001; Wei Gong (Medical Image Anal., 2023)

UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 002; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2023)

RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation. - Xinya Liu; Jianghao Wu 001; Xiangde Luo; Wenjun Liao; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (ISBI, 2024)

Unsupervised Domain Adaptation for Abdominal Organ Segmentation Using Pseudo Labels and Organ Attention CycleGAN. - Jianghao Wu 001; Guoning Zhang 002; Xiaoran Qi; Huamin Wang; Xinya Liu; Guotai Wang (FLARE@MICCAI, 2024)

FPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation. - Jianghao Wu 001; Dong Guo; Guotai Wang; Qiang Yue; Huijun Yu; Kang Li 004; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2024)

SRPL-SFDA: Sam-Guided Reliable Pseudo-Labels For Source-Free Domain Adaptation in medical image segmentation. - Xinya Liu; Jianghao Wu 001; Tao Lu; Shaoting Zhang 001; Guotai Wang (Neurocomputing, 2025)

GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT. - Xianhao Zhou; Jianghao Wu 001; Huangxuan Zhao; Lei Chen; Shaoting Zhang 001; Guotai Wang (CoRR, 2025)