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SIIM26 logo footer
  • Attend
    • Hotels + Venue
    • Who Should Attend?
    • Networking Events
    • Justify Your Attendance!
    • Preliminary Program
  • Program
    • Program Agenda
    • Continuing Education
    • Preliminary Program
  • TECH Expo
    • Exhibitors
    • Alphabetical Exhibitor List
  • Exhibit + Sponsor
    • How To Sign Up
    • Sponsor + Advertise
    • Startup Street
    • Booth Contract
    • Rules & Regulations
    • Vendor Prospectus
    • Exhibitor Resources
    • Suitcase Marketing Policy
  • Register
Garrett j
Event Speaker

John Garrett, PhD

Director
University of Wisconsin, Madison

Dr. Garrett is an Associate Professor in the Departments of Radiology, Medical Physics, and Biostatistics and Medical Informatics. As the Director of Imaging Informatics for the Department of Radiology, Dr. Garrett oversees informatics projects within the department, facilitates access to clinical data and systems for researchers, and develops computational and storage infrastructure to support imaging research. Currently, Dr. Garrett’s research focuses on applying machine learning to opportunistic screening in abdominal CT, evaluating deep learning tools for clinical computer vision and image analysis, and developing methods such as federated learning to enable large-scale, secure computation in medical imaging applications.

Sessions

How to Actually Use Foundation Models: From Classification to Agents Learning Lab

Presented by John Garrett, PhD, Richard J. Bruce, MD, Alan B. McMillan, PhD, Chris Burt , Jameson Merkow, PhD, Ivan Tarapov, MSc , Joshua Warner, MD, PhD Jun 10, 2026 | 10:00 AM.

Foundation Models—including Vision-Language Models and Large Language Models—are rapidly reshaping what is possible in medical imaging. Yet many imaging informaticists, researchers, and developers find a disconnect between the promise described in the literature and what can realistically be implemented in clinical and research environments. Questions around practical use, efficient adaptation, and system-level integration remain major…

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