A Deep Learning Method for Intraoperative Age-agnostic and Disease-specific Cardiac Output Monitoring from Arterial Blood Pressure. - Hyun-Lim Yang; Hyung-Chul Lee; Chul-Woo Jung; Min-Soo Kim 002 (BIBE, 2020)

Attention Mechanisms for Physiological Signal Deep Learning: Which Attention Should We Take? - Seong-A. Park; Hyung-Chul Lee; Chul-Woo Jung; Hyun-Lim Yang (MICCAI (1), 2022)

Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU. - Hyeonhoon Lee; Hyun-Lim Yang; Ho Geol Ryu; Chul-Woo Jung; Youn Joung Cho; Soo Bin Yoon; Hyun-Kyu Yoon; Hyung-Chul Lee (npj Digit. Medicine, 2023)

Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture. - Donghwan Yun; Hyun-Lim Yang; Soonil Kwon; So-Ryoung Lee; Kyungju Kim; Kwangsoo Kim; Hyung-Chul Lee; Chul-Woo Jung; Yon Su Kim; Seung Seok Han (J. Am. Medical Informatics Assoc., 2023)

Comparison of self-supervised learning methods for optical coherence tomography image classification. - Sungho Shim; Hyun-Lim Yang; Min-Soo Kim 002 (ICMHI, 2024)

Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients. - Hong Yeul Lee; Soomin Chung; Dongwoo Hyeon; Hyun-Lim Yang; Hyung-Chul Lee; Ho Geol Ryu; Hyeonhoon Lee (npj Digit. Medicine, 2024)

Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification. - Sungho Shim; Min-Soo Kim; Che Gyem Yae; Yong Koo Kang; Jae Rock Do; Hong Kyun Kim; Hyun-Lim Yang (J. Am. Medical Informatics Assoc., 2025)