Dufan Wu, PhD
Associate Professor
Radiology
Academic information
- Department: Radiology
Research interests
- AI for Medical Imaging
- Generative Models
- Photon-counting Computed Tomography
- Digital Breast Tomosynthesis
- Image Reconstruction
About
Biography
My research centers on medical imaging and artificial intelligence, with a focus on deep learning for image reconstruction, processing and analysis. Currently, I am leading an NIH-funded initiative, where we are pioneering AI-based imaging for portable photon-counting computed tomography (CT), to enhance patient care while reducing costs. My work spans multiple translational AI projects in magnetic resonance imaging (MRI), mammography and radiation therapy, supported by GE Healthcare. The team has developed latest reconstruction techniques for conventional and spectral CT, digital breast tomosynthesis (DBT), positron emission tomography (PET) and MRI. Ongoing efforts include generative diffusion models for image reconstruction, model observers for image quality assessment, and robust AI integration into multimodal, brain and cardiac imaging systems.
I appreciate the commitment to innovation here in The Ohio State University College of Medicine, and the readily available resources that allow me to pursue highly complex research.
Credentials
Education
- Postdoc
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- PhD - Nuclear Science and Technology
- Tsinghua University, Beijing, China
- BE - Engineering Physics
- Tsinghua University, Beijing, China
Research
Research interests
- AI for Medical Imaging
- Generative Models
- Photon-counting Computed Tomography
- Digital Breast Tomosynthesis
- Image Reconstruction
Honors and Awards
- Supervisor of Trainee Research Prize, RSNA annual meeting, 2024
- Education Exhibit Award, RSNA annual meeting, 2023
- Cum Laude Poster Award, SPIE Medical Imaging Conference, 2023
Professional Activities
- Associate Editor, Medical Physics, 2024 – present
- Associate Editor, Journal of Applied Medical Physics, 2025 – present
- Associate Editor, IEEE Transactions on Radiation & Plasma Medical Sciences, Special Issue on “Deployment of Large Models in Medical Imaging”, 2025