Our research focuses on the integration of machine learning and artificial intelligence with medical image computing and informatics. Key research areas include:
- Medical Image Reconstruction — Accelerating MRI acquisition via multi-modal reconstruction, motion correction, and sparse sampling
- Medical Image Registration — Deformable registration for longitudinal and cross-sectional brain imaging, infant brain development
- Computer-Aided Diagnosis — Deep learning for disease screening (cervical cancer, knee osteoarthritis, Parkinson’s disease, glioma)
- Medical Image Synthesis — Cross-modality synthesis (MR-to-CT, PET synthesis) and image enhancement
- Gaze-Guided Learning — Using radiologist eye gaze as supervision for deep learning in medical imaging
See our latest work in the Publication section.