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
Past Forums
Advancing Skeletal Dosimetry Through Detailed Mesh-Based Skeletal Models for Adults & Children
Dr. Bolch (University of Florida) will present mesh-based skeletal models for adults and children derived from micro-CT data and their use in Monte Carlo simulations. He will highlight improved skeletal dosimetry accuracy compared to voxel-based approaches, particularly for pediatric dose assessment and age-dependent internal exposure.Medical Physics at the Frontier: Navigating the Age of Agentic AI, Exascale Computing, and the DOE Genesis Mission
(March 20, 2026) Dr. Tourassi discussed how medical physics stands at the intersection of artificial intelligence, advanced computing, and clinical care. The seminar will explore what the convergence of agentic AI and exascale computing means for the field, and how the Department of Energy’s Genesis Mission may reshape opportunities for medical physicists.Imaging Advantage of Edge-On CZT Platform and its Application in Molecular Imaging
(February 20, 2026) Dr. Abbaszadeh from University of California Santa Cruz discussed edge-on CZT detectors, their high sensitivity and precise localization for gamma imaging, and how advanced coincidence detection improves event positioning and background rejection. She will also highlight the potential of this technology for future PET and PET–gamma systems.The state of radiation protection in medicine: insights from the IAEA 2025 conference
(January 16, 2026) Ehsan Samei, PhD from Duke tells us more about the International Conference on Radiation Protection in Medicine, where global experts convened to assess progress and chart future directions for radiation safety in medical practice. This talk will summarize key outcomes, including advances in patient and staff protection, the impact of emerging technologies ...Augmenting Reality: Virtual Readers to Supercharge AI for Lung Cancer Screening
(November 21, 2025) Joseph Lo, PhD from Duke presented the latest advances from CVIT, featuring AI benchmark models and virtual readers for lung cancer screening in chest CT. He will highlight AI frameworks that generate synthetic CT data to improve nodule detection/classification, showing how integrated virtual readers can emulate radiologists’ workflows and advance clinical adoption.
