Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator. - Jaesung Yoo; Sunghyuk Choi; Ye Seul Yang; Suhyeon Kim; Jieun Choi; Dongkyeong Lim; Yaeji Lim; Hyung Joon Joo; Dae Jung Kim; Rae Woong Park; Hyeong-Jin Yoon; Kwangsoo Kim (CoRR, 2022)

Predicting medical specialty from text based on a domain-specific pre-trained BERT. - Yoojoong Kim; Jong-Ho Kim; Young-Min Kim; Sanghoun Song; Hyung Joon Joo (Int. J. Medical Informatics, 2023)

Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination. - Hakje Yoo; Yunjin Yum; Yoojoong Kim; Jong-Ho Kim; Hyun-Joon Park; Hyung Joon Joo (Biomed. Signal Process. Control., 2023)

Design and technical validation to generate a synthetic 12-lead electrocardiogram dataset to promote artificial intelligence research. - Hakje Yoo; Jose Moon; Jong-Ho Kim; Hyung Joon Joo (Health Inf. Sci. Syst., 2023)

Personalized Statin Therapy Recommendation Platform Based on Federated Learning. - Su Min Kim; Eunbeen Jo; Jose Moon; Jong-Ho Kim; Hyung Joon Joo (CCECE, 2024)

Review learning: Real world validation of privacy preserving continual learning across medical institutions. - Jaesung Yoo; Sunghyuk Choi; Ye Seul Yang; Suhyeon Kim; Jieun Choi; Dongkyeong Lim; Yaeji Lim; Hyung Joon Joo; Dae Jung Kim; Rae Woong Park; Hyung-Jin Yoon; Kwangsoo Kim (Comput. Biol. Medicine, 2025)