STU-Net
Large-scale supervised pre-training for scalable and transferable 3D medical image segmentation.
Medical AI Researcher
Ziyan Huang
I work on medical image analysis, scalable foundation models, and multi-agent systems for medical discovery.
I am looking for research interns to work on medical AI agents. If you are interested—or know someone who is—feel free to email me.
I am a researcher at Shanghai AI Laboratory and a member of General Medical AI. I hold a Ph.D. from Shanghai Jiao Tong University and my B.Eng. from Xi'an Jiaotong University.
Address: Building L1, International Media Port · 129 Longwen Road · Xuhui, Shanghai
Research
Selected work
Scalable segmentation models, cross-dataset evaluation, and multi-agent segmentation.
A-Eval
A benchmark for testing abdominal multi-organ segmentation across datasets and imaging modalities.
MedSegAgent
A multi-agent system that translates natural-language requests into model and label selection for medical image segmentation.