One-Class Classifier for Chest X-Ray Anomaly Detection via Contrastive Patch-Based Percentile. - Kyung-Su Kim 002; Seong Je Oh; Hyun Bin Cho; Myung Jin Chung (IEEE Access, 2021)

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)

Improved Generative Model for Weakly Supervised Chest Anomaly Localization via Pseudo-paired Registration with Bilaterally Symmetrical Data Augmentation. - Kyung-Su Kim 002; Seong Je Oh; Tae Uk Kim; 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)

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)