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
March 21, 2025. CT-based Body Composition: The Sky is the Limit
Dr. Kirti Magudia will demonstrate how CT-based body composition analysis techniques using deep learning provide quantification of skeletal muscle, visceral fat, and subcutaneous fat, which have been correlated with overall survival, cancer-related outcomes, and cardiovascular events, among other clinical outcomes.
Past Forums
Credibility of In Silico Medicine Models
(December 15, 2023) Dr. Marco Viceconti from the Department of Industrial Engineering, University of Bologna will provide a brief theoretical reflection on the concept of credibility, explore how this is being adopted in the regulatory pathways for Digital Twins and In Silico Trials, and the barriers that are slowing down the widespread adoption of ...Objective Assessment of X-ray Breast Imaging Technologies using In Silico Methods
(November 17, 2023) Stephen Glick, Senior Biomedical Research Scientist at the FDA, discusses how virtual clinical trials and physical phantom studies can be helpful in the evaluation of new breast imaging technologies.Toward Second Generation of Photon Counting CT
(September 15, 2023) Dr. Ken Taguchi from Johns Hopkins University presents his view on the key technology for the next generation of PC-CT and the current status of research activities.Virtual clinical trials are central to bench to bedside research: The Image X Institute Experience
(August 18,2023) Paul Keall, Tess Reynolds, and Owen Dillon from the Image X Institute describe the central role of virtual clinical trials to their bench to bedside research, giving several examples.XCAT to DukeSim: Demonstration of Virtual Imaging in CT
(July 21, 2023) Drs. Paul Segars and Ehsan Abadi from the Center for Virtual Imaging Trials (CVIT) at Duke University demonstrate how to simulate virtual CT images for different research studies using tools developed by the CVIT.
