Session Chair Profile

Ph.D., Associate Professor, UCLA

Biography
Dr. Sung’s primary research focuses on the development of novel medical imaging methods and artificial intelligence using magnetic resonance imaging (MRI). He received a Ph.D. degree in Electrical Engineering from the University of Southern California, Los Angeles, in 2008, and from 2008 to 2012, he finished his postdoctoral training at Stanford in the Departments of Radiology. He joined the University of California, Los Angeles (UCLA) Department of Radiological Sciences, in 2012. His research interest is to develop fast and reliable MRI techniques that can provide improved diagnostic contrast and useful information. In particular, his research group (https://mrrl.ucla.edu/sunglab/) is currently focused on developing advanced deep learning algorithms and quantitative MRI techniques for early diagnosis, treatment guidance, and therapeutic response assessment for oncologic applications. Such developments can offer more robust and reproducible measures of biologic markers associated with human cancers.


 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.

Sessions:

  • 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