I am now a PhD student in the School of Computer Science at the University of Sydney under the supervision of Prof. Weidong Cai. Previously, I received my Master’s degree from Northeastern University under the supervision of Prof. Chen Li.

🔥 News

• 2025.02:  🎉🎉 One paper has been accepted by IPMI 2025.
• 2024.07:  🎉🎉 One paper has been accepted by MICCAI 2024 - MedAGI (Oral).
• 2024.04:  🎉🎉 One paper has been accepted by MIDL 2024.
• 2023.02:  🎉🎉 One paper has been accepted by ISBI 2023.

🏅 Workshop & Challenge

• Call for papers and participation: Foundation Models in Medicine (FMM), IJCNN 2025.

💻 Pre-print

Arxiv 2025

MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages

Hao Xu, Tengfei Xue, Dongnan Liu, Yuqian Chen, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O’Donnell, and Weidong Cai

[Paper] [Project] [Code]

📝 Publications

IPMI 2025

Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness

Hao Xu, Tengfei Xue, Jianan Fan, Dongnan Liu, Yuqian Chen, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O’Donnell, and Weidong Cai

[Paper] [Project] [Code]

MedAGI 2024

SAT-Morph: Unsupervised Deformable Medical Image Registration using Vision Foundation Models with Anatomically Aware Text Prompt(Oral)

Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O’Donnell, and Weidong Cai

[Paper] [Project] [Code]

MIDL 2024

An Uncertainty-Distillation- and Voxel-Contrast-based Framework for One-shot Segmentation of Novel White Matter Tracts

Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O’Donnell, and Weidong Cai

[Paper] [Project] [Code]

ISBI 2023

A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation with Only One Annotated Subject

Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O’Donnell, and Weidong Cai

[Paper] [Project] [Code]