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
January 17, 2025. Equitable AI for Children’s Health and Rare Diseases
Dr. Marius George Linguraru will demonstrate how artificial intelligence may be the greatest tool we have for improving the quality of and access to medical care for children, especially those most vulnerable to health inequities.
Past Forums
Virtual imaging study of phase-contrast chest radiography
(Jan 21, 2022) Ilian Häggmark from the University of Tokyo and Kian Shaker from KTH explore the potential clinical impact of phase-contrast chest radiography through a virtual study using XCAT phantoms and state-of-the-art simulations.Virtual Clinical Trials of Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging
(Dec 17, 2021) Predrag Bakic of the University of Pennsylvania presents his work using Virtual Clinical Trials to evaluate simultaneous digital breast tomosynthesis and mechanical imaging (DBTMI). DBTMI is a novel multimodality imaging method with potential to improve sensitivity and specificity of breast cancer screening.Exploring the Clinical Advantages of Photon Counting CT Imaging Systems Using Clinical Task-based Metrics & Virtual Imaging Trials
(Nov 19, 2021) Elizabeth Jones of the NIH Clinical Center and Ehsan Abadi from Duke University evaluate the potential of photon-counting CT in terms of various clinical applications and demonstrate the role of virtual imaging trials in its assessment and optimization.Past, Present and Future Technology at HeartFlow
(Sept 24, 2021) Michiel Schaap from Heartflow discusses the AI technology, physiology and CFD technology behind the HeartFlow analysis and discusses future products and challenges.VIT Lessons Learned – Calibration, Realism, Portability, and Reproducibility
(Aug 20, 2021) Andrew Maidment from the University of Pennsylvania presents his experience in developing and disseminating tools for virtual imaging trials (VITs) in breast imaging. He will explain the lessons learned from this experience, with a focus on producing accurate, reproducible results.
