Research

Research directions, selected projects, and open resources.

My work connects methodological research with practical medical imaging needs. This page is an evolving map of the questions I study, the systems I build, and the resources I maintain.

Research directions

The long-term themes that organize my research questions.

Research vision

Virtual Medicine

From virtual imaging toward virtual therapy and personalized prediction.

Image Synthesis Dose Reduction Outcome Prediction
Research direction

Trustworthy Clinical AI

Reliable, explainable, and human-centered medical AI systems.

Explainable AI Human-in-the-loop Clinical Translation

Selected projects

Representative methods with publications or open implementations.

MetaAD
MICCAI 2024 · Young Scientist Award

MetaAD

Metabolism-aware anomaly detection for Parkinson's disease in 3D 18F-FDG PET.

PET Parkinson's Disease Anomaly Detection
TracerAD
MICCAI 2026 · Early Accept

TracerAD

Training-free few-shot 3D anomaly detection for novel PET tracers.

PET Few-shot Learning Foundation Models

Open resources

Community-facing collections that make medical AI research easier to navigate.