Juhwan Lee

Juhwan Lee, PhD, is a Research Assistant Professor in the Department of Biomedical Engineering at the Case School of Engineering, Case Western Reserve University. His research focuses on developing AI-driven methodologies for coronary artery disease (CAD) assessment, particularly leveraging non-contrast CT calcium scoring and optical coherence tomography (OCT) imaging. He specializes in automated plaque characterization, stent analysis, and predictive modeling of cardiovascular outcomes using deep learning and finite element analysis.

His technical innovations include automated OCT/CT feature extraction, image registration between OCT and CT, and AI-based risk stratification for high-risk plaques. Recent work emphasizes translating epicardial adipose tissue and calcification data from CT scans into clinical tools for MACE prediction and stent performance evaluation.

Key publications (2020–2025) highlight advancements in OCT-based plaque segmentation, AI prediction of stent expansion, and computational analysis of calcified coronary lesions. His team’s OCTOPUS software for stent analysis is a notable contribution to clinical imaging.

Despite significant contributions to cardiovascular AI, no scientific awards are explicitly mentioned in the provided texts. Teaching responsibilities are listed but not detailed.