The Study of Phase-Based Optical Flow Technique Using an Adaptive Bilateral Filter. - Ju Hwan Lee; Sung Yun Park; Sung Jae Kim; Sung Min Kim (IEICE Trans. Inf. Syst., 2012)

Estimating contrast agent motion from ultrasound images using an anisotropic diffusion-based optical flow technique. - Ju Hwan Lee; Sung Min Kim (Comput. Biol. Medicine, 2013)

Diagnosis of Osteoporosis by Quantification of Trabecular Microarchitectures from Hip Radiographs Using Artificial Neural Networks. - Ju Hwan Lee; Yoo Na Hwang; Sung Yun Park; Sung Min Kim (BIC-TA, 2014)

An Analysis of Contrast Agent Flow Patterns From Sequential Ultrasound Images Using a Motion Estimation Algorithm Based on Optical Flow Patterns. - Ju Hwan Lee; Yoo Na Hwang; Sung Yun Park; Jong Seob Jeong; Sung Min Kim (IEEE Trans. Biomed. Eng., 2015)

Characterization of coronary plaque regions in intravascular ultrasound images using a hybrid ensemble classifier. - Yoo Na Hwang; Ju Hwan Lee; Ga Young Kim; Eun-Seok Shin; Sung Min Kim (Comput. Methods Programs Biomed., 2018)

Segmentation of the lumen and media-adventitial borders in intravascular ultrasound images using a geometric deformable model. - Ju Hwan Lee; Yoo Na Hwang; Ga Young Kim; Sung Min Kim (IET Image Process., 2018)

Automated classification of dense calcium tissues in gray-scale intravascular ultrasound images using a deep belief network. - Ju Hwan Lee; Yoo Na Hwang; Ga Young Kim; Ji Yean Kwon; Sung Min Kim (BMC Medical Imaging, 2019)

3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography. - Kyung-Su Kim 002; Seong Je Oh; Ju Hwan Lee; Myung Jin Chung (CoRR, 2022)

AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems. - Kyungsu Kim 002; Ju Hwan Lee; Seong Je Oh; Myung Jin Chung (Comput. Methods Programs Biomed., 2023)

Classification of Bacterial Keratitis Activity with Patch-Based Deep Learning Using Three Anterior Segment Images. - Sung Ho Jung; Yeokyoung Won; Won Seok Song; Ju Hwan Lee; Hakje Yoo; Dong Hui Lim (ISBI, 2024)

3D unsupervised anomaly detection through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography. - Kyungsu Kim 002; Seong Je Oh; Ju Hwan Lee; Myung Jin Chung (Expert Syst. Appl., 2024)

Improved unsupervised 3D lung lesion detection and localization by fusing global and local features: Validation in 3D low-dose computed tomography. - Ju Hwan Lee; Seong Je Oh; Kyungsu Kim 002; Chae Yeon Lim; Seung Hong Choi; Myung Jin Chung (Medical Image Anal., 2025)