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
Human Space Exploration and the Increased Radiation Exposure – how we tackle the issue for the NASA Artemis I mission with the MARE Experiment
(June 16, 2023) Thomas Berger from the German Aerospace Center (DLR) gives an overview of radiation levels encountered in space and the MARE experiment within the NASA Artemis I mission and highlights synergies between space radiation research and Earth based cancer therapy applications.Vascular Deformation Mapping: Towards a Commercial Solution for Mapping Longitudinal Changes in Aortic Morphology
(May 19, 2023) Chuck Hatt and Nick Burris from Imbio Inc. and Michigan Medicine discuss the development and validation of the Vascular Deformation Mapping (VDM) software used to assess thoracic aortic aneurysm (TAA).Physics in Medicine: Perspectives from AAPM Presidents
(April 21, 2023) Physics in Medicine Symposium featuring talks by James Dobbins and Ehsan Samei, former and current AAPM presidents.Spectral CT and Deep Learning: Challenges and Opportunities in Preclinical Imaging
(March 17, 2023) Cristian Badea from Duke University discusses spectral CT, explores deep learning techniques to enhance its performance, and showcases its various preclinical applications in cancer and cardiac imaging.Cardiorespiratory Motion Prediction for Congenital Heart Defects
(January 20, 2023) Luc Duong from École de Technologie Supérieure, Montreal introduces his work in motion prediction involving 2D, 3D and 4D analysis of vascular structures for pediatric cardiology.
