Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network. - Hyun-Jin Bae; Heejung Hyun; Younghwa Byeon; Keewon Shin; Yongwon Cho; Young Ji Song; Seong Yi; Sung-Uk Kuh; Jin S. Yeom; Namkug Kim (Comput. Methods Programs Biomed., 2020)

Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution. - Kwanhyung Lee; John Won; Heejung Hyun; Sangchul Hahn; Edward Choi; Joohyung Lee 003 (CoRR, 2022)

Advantage of Vital Sign Monitoring Using a Wireless Wearable Device for Predicting Septic Shock in Febrile Patients in the Emergency Department: A Machine Learning-Based Analysis. - Arom Choi; Kyungsoo Chung; Sung Phil Chung; Kwanhyung Lee; Heejung Hyun; Ji Hoon Kim (Sensors, 2022)

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. - Kwanhyung Lee; Soojeong Lee; Sangchul Hahn; Heejung Hyun; Edward Choi; Byungeun Ahn; Joohyung Lee 003 (MLHC, 2023)

Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution. - Kwanhyung Lee; John Won; Heejung Hyun; Sangchul Hahn; Edward Choi; Joohyung Lee 003 (TML4H, 2023)

Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study. - Ji Hoon Kim; Bomgyeol Kim; Min Joung Kim; Heejung Hyun; Hyeon Chang Kim; Hyuk-Jae Chang (BMC Medical Informatics Decis. Mak., 2023)