Jianghao Wu

According to our database, Jianghao Wu authored at least 26 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation.

Xianhao Zhou, Jianghao Wu, Lanfeng Zhong, Ku Zhao, Jinlong He, Shaoting Zhang, Guotai Wang

CoRR, March, 2026

SicTTA: Single image continual test time adaptation for medical image segmentation.

Jianghao Wu, Xinya Liu, Guotai Wang, Shaoting Zhang

Medical Image Anal., 2026

SegRap2025: A benchmark of gross tumor volume and lymph node clinical target volume Segmentation for Radiotherapy Planning of nasopharyngeal carcinoma.

Jia Fu, Litingyu Wang, He Li, Zihao Luo, Huamin Wang, Chenyuan Bian, Zijun Gao, Chunbin Gu, Xin Weng, Jianghao Wu, Yicheng Wu, Jin Ye, Linhao Li, Yiwen Ye, Yong Xia, Elias Tappeiner, Fei He, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Junqiang Chen, Chuanyi Huang, Lisheng Wang, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Shichuan Zhang, Shaoting Zhang, Wenjun Liao, Guotai Wang

Medical Image Anal., 2026

CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility.

Yulong Li, Yuxuan Zhang, Feilong Tang, Ming Hu, Zhixiang Lu, Haochen Xue, Jianghao Wu, Rui Chen, Mian Zhou, Kang Dang, Chong Li, Yifang Wang, Imran Razzak, Jionglong Su

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

DINOV3-Guided Cross Fusion Framework for Semantic-Aware CT Generation From MRI and CBCT.

Xianhao Zhou, Jianghao Wu, Ku Zhao, Jinlong He, Huangxuan Zhao, Lei Chen, Shaoting Zhang, Guotai Wang

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

IPLC+: SAM-Guided Iterative Pseudo Label Correction for Source-Free Domain Adaptation in Medical Image Segmentation.

Guoning Zhang, Xiaoran Qi, Jianghao Wu, Bo Yan, Guotai Wang

IEEE J. Biomed. Health Informatics, December, 2025

A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation.

Jianghao Wu, Xiangde Luo, Yubo Zhou, Lianming Wu, Guotai Wang, Shaoting Zhang

IEEE Trans. Image Process., 2025

Volume Fusion-Based Self-Supervised Pretraining for 3D Medical Image Segmentation.

Guotai Wang, Jia Fu, Jianghao Wu, Xiangde Luo, Yubo Zhou, Xinglong Liu, Kang Li, Jingsheng Lin, Baiyong Shen, Shaoting Zhang

IEEE Trans. Image Process., 2025

SRPL-SFDA: Sam-Guided Reliable Pseudo-Labels For Source-Free Domain Adaptation in medical image segmentation.

Xinya Liu, Jianghao Wu, Tao Lu, Shaoting Zhang, Guotai Wang

Neurocomputing, 2025

Genesis: A Large-Scale Benchmark for Multimodal Large Language Model in Emotional Causality Analysis.

Yulong Li, Yuxuan Zhang, Rui Chen, Feilong Tang, Zhixiang Lu, Ming Hu, Jianghao Wu, Haochen Xue, Mian Zhou, Chong Li, Jionglong Su, Imran Razzak

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT.

Xianhao Zhou, Jianghao Wu, Huangxuan Zhao, Lei Chen, Shaoting Zhang, Guotai Wang

Proceedings of the Simulation and Synthesis in Medical Imaging, 2025

TEGDA: Test-Time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation.

Yubo Zhou, Jianghao Wu, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs.

Boyi Xiao, Jianghao Wu, Lanfeng Zhong, Xiaoguang Zou, Yuanquan Wu, Guotai Wang, Shaoting Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

FDAS: Foundation Model Distillation and Anatomic Structure-Aware Multi-task Learning for Self-Supervised Medical Image Segmentation.

Xiaoran Qi, Guoning Zhang, Jianghao Wu, Shaoting Zhang, Xiaorong Hou, Guotai Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

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, Shaoting Zhang

IEEE Trans. Medical Imaging, September, 2024

Unsupervised Domain Adaptation for Abdominal Organ Segmentation Using Pseudo Labels and Organ Attention CycleGAN.

Jianghao Wu, Guoning Zhang, Xiaoran Qi, Huamin Wang, Xinya Liu, Guotai Wang

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

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, Guotai Wang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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, Shaoting Zhang

IEEE Trans. Medical Imaging, December, 2023

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, Wei Gong

Medical Image Anal., August, 2023

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 R. Saeed, Neil Kitchen, Sébastien Ourselin, Shaoting Zhang, Guotai Wang

Neurocomputing, August, 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, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren

Medical Image Anal., 2023

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, Shaoting Zhang

CoRR, 2023

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, Shaoting Zhang

CoRR, 2023

UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation.

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

Proceedings of the Information Processing in Medical Imaging, 2023

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, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren

CoRR, 2022

FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation.

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

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022