Mridul Bhattarai, PhD
Building physics-informed AI frameworks for reliable clinical imaging.
Author: Mridul Bhattarai
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In my acceptance remarks at the Duke Med Phys program graduation ceremony, I thanked ChatGPT for arriving at the right time and making our lives as PhD students easier. I genuinely meant it. Then I started thinking about how AI tools have changed scientific research and efficiency, especially for PhD students. Doing research in a…
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Generating realistic synthetic CT data requires modeling two key steps: how x-rays travel through the body and how the detector converts those x-rays into an image. In theory, the most accurate way to do this would be to use a full Monte Carlo simulation that tracks every x-ray photon from the source, through the body,…
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Multi-scanner domain shift has been a persistent barrier to quantitative and qualitative CT imaging and robust medical AI. I worked on this problem during my PhD because I found images varied across scanners and models shouldn’t fail simply because a patient was scanned on a different detector, scanner, or even image acquisition protocol. By combining…
