2026.04IEEE ISBI 2026
BVD: A Two-Stage Network for Identifying Bronchial Variation Types from CT Images
Chang Yuwen
AIM for Pathology Team
Decoding Health with Next-Generation AI.
We build intelligent systems that bridge AI and clinical medicine — leveraging foundation models, autonomous agents, and physics-informed learning to advance medical image understanding across diverse imaging modalities.
Research
2026.01Wait Release
Coronary Plaque Assessment with IVUS
Yunshu Chen
2026.01Wait Release
Breaking the Noise Barrier: Accurate Solution Reconstruction via Physics-Symbolic Constraints
Zhenhua Chen
2026Wait Release
An Agent for Knee Injury Recovery Prediction
Linchao He
Team
Zongyuan GeGroup Leader
Founding Director of the AIM for Health Lab
Litao YangTeam Leader
Research Fellow
Chang YuwenPhD Student
chang.yuwen@monash.edu
Linchao HePhD Student
Yunshu ChenPhD Student
yunshu.chen@monash.edu
Zhenhua ChenPhD Student
zhenhua.chen@monash.edu
Zhipen LuoPhD Student
Weng Hong HuiMaster Student
whui0008@student.monash.edu
Zhaolin YuMaster Student
zyuu0081@student.monash.edu
Jason LiuBachelor Student
jason.liu1@monash.edu
About
AIM for Pathology is a research group within the AIM for Health Lab at Monash University. Our group focuses on developing AI systems for medical image analysis, including foundation models, vision-language models, and autonomous agents. We work across a wide range of imaging modalities and clinical scenarios, aiming to build comprehensive and reliable tools for clinical diagnosis and treatment planning.
The AIM for Health Lab (Augmented Intelligence and Multimodal Analytics for Health) is founded and directed by A/Prof. Zongyuan Ge. The lab spans cross-cutting expertise in health AI translation, privacy-preserving AI, federated learning, and multimodal data analysis, with deep connections to first-tier healthcare providers and industry partners. Research from the lab has been published in top venues including Nature Medicine, Nature Nanotechnology, Science Advances, The Lancet Digital Health, and leading AI conferences such as NeurIPS, CVPR, and MICCAI.
We are always looking for passionate Ph.D. students, postdocs, and visiting scholars. Feel free to reach out via Zongyuan.Ge@monash.edu.
Our Collaborators
