FORUMS
Educating and training scientists on how the Center’s resources can aid their research
Forums are currently conducted in person and on Zoom. Please get in touch with our administrative manager to request an invite.
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Upcoming Forums
June 20, 2025. Ultrasound Imaging as Encoded Sensing: A Unifying Computational Imaging Framework
Nick Bottenus from the University of Colorado, Boulder, will discuss his research focused on developing system-level solutions to problems in diagnostic ultrasound imaging.
Past Forums
Machine Learning Algorithms for In-Silico Virtual Imaging
(October 18, 2024 )Dr. Tarokh from Duke University gives an overview on how rapid acceleration in medical imaging technologies has increased the complexity of evaluating and optimizing new imaging technologies through clinical imaging trials due to associated expenses, time requirements, difficulty accruing subjects, ethical limitations, etc.Opportunities and challenges in applying AI in healthcare: Lessons from radiology, oncology and ophthalmology
(September 13, 2024) Jayashree Kalpathy-Cramer from the University of Colorado School of Medicine gives an overview of how artificial intelligence and machine learning have the potential to greatly transform healthcare. We will begin by highlighting a few applications in radiology, oncology, and ophthalmology.Development of Digital Phantoms for Radiation Therapy Applications
(July 19, 2024) Dr. Lei Ren from the University of Maryland discusses the development and use of digital phantoms for motion management and treatment optimization in both photon and proton therapy.Unlocking the Power of AI: In Silico Trials in Chest Radiology
(June 21, 2024) Dr. Joseph Lo and Fakrul Islam Tushar from Duke University explore the transformative potential of AI for evaluating in silico clinical trials, focusing on three groundbreaking studies in chest imaging.Recent Advances in AI for Abdominal Radiology
(May 16, 2024) In this presentation, Dr. Ronald Summers from the NIH Clinical Center shows the latest abdominal radiology AI research from his lab.
