Session Chair Profile

Ph.D., Professor and Vice Chair, UCSF

Sharmila Majumdar, Ph.D., obtained her Ph.D. degree from Yale University in Engineering and Applied Sciences. After a short stay at Yale she joined UCSF as an Assistant Professor in 1989. Her research on machine and deep learning has a focus on imaging; prior work has focused on imaging technology development and translational, development of image processing, computer vision has been focused in the areas of osteoporosis, osteoarthritis, and lower back pain. She is the Executive and Scientific Director of the Center for Intelligent Imaging at UCSF. She was selected as a fellow of the American Institute of Medical and Biological Engineers in 2004, a fellow of the International Society of Magnetic Resonance in Medicine (ISMRM) in 2008, and awarded the ISMRM Gold medal in 2016. She is an active participant in the PMWC meetings. Her work over the last three decades has been extensively supported by the NIH and industry.

 Session Abstract – PMWC 2022 Silicon Valley

Track Chairs:
Sharmila Majumdar, UCSF
Matthew Lungren, Stanford

The use of Artificial Intelligence (AI) in diagnostic medical imaging is undergoing extensive evaluation. AI has shown impressive accuracy and sensitivity in the identification of imaging abnormalities and promises to enhance tissue-based detection and characterization. This track will explore technical advancements in clinical machine learning and use cases in radiology.


  • Regulatory Considerations for AI & Machine Learning in Medical Imaging
    - Bakul Patel, FDA
    - Sean Khozin, CancerLinQ
  • AI Roadmap: Opportunity and Challenges
    Session Chair: Sean Khozin, CancerLinQ
    - Brandon Allgood, Valo Health
    - Patrick Loerch, Gilead
    - Daniel J. Arbess, Xerion Investments LLC
    - Matthew Lungren, Stanford
  • Technical Advancements in Clinical Machine Learning - What's New in 2021
    Session Chair: Sharmila Majumdar, UCSF
    - Matthew Lungren , Stanford
    - Jayashree Kalpathy-Cramer, Harvard
  • Image Applications for Clinical Diagnosis
    Session Chair: Lawrence Schwartz, Columbia University Medical Center
    - Thorsten Fleiter, U. of Maryland
    - Imon Banerjee, Mayo Clinic
    - Anant Madabhushi, Case Western Reserve University
    - Pratik Mukherjee, UCSF
    - Esther L. Yuh, UCSF
  • Evaluation of AI Software for Radiological Applications
    Session Chair: Kyung Hyun Sung, UCLA
    - Akshay Chaudhari, Stanford
    - Mona Flores, NVIDIA
  • PMWC 2022 Showcase (NCI)
    - Eric Horler, AIQ Solutions