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Yoon Seong Lee

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Open access Sep 2026

A deep learning-based algorithm for detecting significant in-stent restenosis in coronary CT angiography.

Coronary CT angiography (CCTA) is widely used for monitoring patients after stent implantation, but beam-hardening and blooming artifacts make assessment of in-stent restenosis (ISR) challenging. This study developed and evaluated a deep learning algorithm for automated detection of significant ISR in CCTA images. A re...

Daebeom Park, Yoon Seong Lee, Baren Jeong et al. · 0 citations

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