Wei Shao, PhD, MS
Dr. Shao is an Assistant Professor of Quantitative Health in the Department of Medicine and the Assistant Director of AI Imaging Research at the Intelligent Critical Care Center (IC3) at the University of Florida. He earned his Ph.D. in Electrical and Computer Engineering and his master’s degree in Mathematics from the University of Iowa in 2019. From 2019 to 2022, he completed his postdoctoral training in deep learning for medical imaging in the Department of Radiology at Stanford University. His research focuses on developing and applying mathematical modeling and deep learning methods in medical image analysis to improve patient care.
Current Research Interests
- Medical Image Analysis
- Deep Learning
- Image Registration
- Multi-modal Data Fusion
- Generative AI
- Foundation Models
Education and Training
- Postdoctoral, Stanford University, USA (2019 – 2022)
- BE, Electronics and Information Engineering, Soochow University, China (2014)
Academic Positions
- Assistant Professor, University of Florida, USA (2022 – present)
- Research Assistant, University of Iowa, USA (2014 – 2019)
Honors and Awards
- Founders’ Award Paper Winner (role: AI mentor, award amount: $5,000), The Southern Association for Vascular Surgery (2023)
- Winner Award (1st place out of 23 teams), The CTVIE19 Grand Challenge, AAPM, USA (2019)
- Ballard Seashore Dissertation Fellowship, University of Iowa, USA (2019)
- Graduate Student Senate Travel Funds Award, University of Iowa, USA (2018)
- Sally and Ken Mason Travel Grant, University of Iowa, USA (2017)
Service Activities
Journal Reviewer
- Nature Machine Intelligence
- Medical Image Analysis
- IEEE Transactions on Medical Imaging
- Nature Communications
- IEEE Journal of Biomedical and Health Informatics
- Computerized Medical Imaging and Graphics
- International Journal of Computer Assisted Radiology and Surgery
- Medical Physics
- Journal of Medical Imaging
- Journal of Imaging
- Journal of Applied Remote Sensing
- BMC Cancer
- Computers in Biology and Medicine
- Scientific Reports
- IEEE Access
- Frontiers in Physiology
- Frontiers in Physics
- Frontiers in Oncology
- Quantitative Imaging in Medicine and Surgery
- Sensors
- Digital Signal Processing
- Imaging Science Journal
- Physics in Medicine and Biology
- Radiation Physics and Chemistry
- Applied Intelligence
- “Multi-Class Segmentation of Aortic Branches and Zones on Computed Tomography Angiography”, The AortaSeg24 MICCAI Grand Challenge (2024)
Community Service
- Planning Committee, University of Florida Intelligent Clinical Care Center’s (IC3) Seminar Series (2022 – present)
- Co-Organizer: AI2Heal Datathon, Intelligent Critical Care Center, University of Florida College of Medicine (2022-2023)
- Program Committee, International Conference on Bioengineering, Biomedical Signal and Image Processing (BIOMESIP) (2021)
- Planning Committee, IBIIS & AIMI Annual Retreat, Stanford University (2020)