About
Xiaofeng Liu is an Assistant Professor at Yale School of Medicine with joint appointments in Radiology & Biomedical Imaging and Biomedical Informatics & Data Science. He is an Associate Member at the Broad Institute of MIT and Harvard, and actively engaged in editorial roles as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and Journal of Medical Internet Research. His research spans trustworthy AI, medical imaging, and data science with applications in disease diagnosis and treatment monitoring.
His research focuses on generalizable AI models for medical imaging, particularly in domain adaptation, diffusion models, and multimodal analysis. Recent work trends include AI-driven oncology (e.g., glioblastoma survival prediction), medical image enhancement (super-resolution, PET denoising), and clinical decision systems for Crohn's disease and depression detection. Collaborations with Georges El Fakhri and Jinsong Ouyang demonstrate cross-disciplinary approaches.
- 2025 Robert F. Wagner Best Student Paper Finalist Award
- 2024 Trailblazer R21 NIH Award
- 2024 NSF NAIRR Pilot Award
- 2024 Google Cloud Research Credits
The Xiaofeng Liu Lab (Whisk Cup) develops AI methods for biomedical imaging, affiliated with the Yale Biomedical Imaging Institute and Center for Brain & Mind Health. The lab trains students in deep learning, medical image analysis, and health informatics.
