Research Assistant Professor
Department of Biomedical Engineering
Case School of Engineering
Member
CWRU Center for Imaging Research
Research Information
Research Interests
Juhwan Lee will develop new AI methods for CCTA evaluations of high-risk coronary atherosclerotic plaque by comparing to concurrently-acquired, high resolution/contrast IVOCT images, deemed the best method to access high-risk plaque. Technical innovations will include highly automated assessment of IVOCT and CCTA features, accurate IVOCT to CCTA registration, and novel, well-matched AI analyses.
Publications
- J. Lee, et al., Segmentation of coronary calcified plaque in intravascular OCT images using a two-step deep learning approach, IEEE Access, 8, 225581, 2020.
- J. Lee, et al., Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features, Nature - Scientific Reports, 10(1), 2596, 2020.
- H. Lu, J. Lee, et al., Application and evaluation of highly automated software for comprehensive stent analysis in intravascular optical coherence tomography, Nature - Scientific Reports, 10, 2150, 2020.