Groups & Projects

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Low-dose computational tomography (CT) using self-supervised AI system

X-ray CT imaging has several benefits including disease diagnosis and treatment monitoring. However, population exposure to medical radiation is a significant concern, motivating research on lowering the dose of X-ray CT. The project applies iterative AI and self-supervised learning to low-dose CT. The project is being supported by HCF (project end date: 6/1/21).

Faculty:   I. Chun