Hyung-Chul Lee

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Prognostic Models

Top Venues

npj Digit. Medicine

IEEE Trans. Biomed. Circuits Syst.

Comput. Biol. Medicine

Publications

Doyun Kwon, Young Mi Jung, Hyung-Chul Lee, Tae Kyong Kim, Kwangsoo Kim, Garam Lee, Dokyoon Kim, Seung-Bo Lee, Seung Mi Lee
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data. J. Biomed. Informatics 156 (2024)
Won Joon Yun, Myungjae Shin, Soyi Jung, JeongGil Ko, Hyung-Chul Lee, Joongheon Kim
Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset. Comput. Biol. Medicine 156 (2023)
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
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Hyeonhoon Lee, Hyun-Lim Yang, Ho Geol Ryu, Chul-Woo Jung, Youn Joung Cho, Soo Bin Yoon, Hyun-Kyu Yoon, Hyung-Chul Lee
Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU. npj Digit. Medicine 6 (2023)
Hyeonhoon Lee, Hyun-Kyu Yoon, Jaewon Kim, Ji Soo Park, Chang-Hoon Koo, Dongwook Won, Hyung-Chul Lee
Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia. npj Digit. Medicine 6 (2023)
Seung Wook Lee, Hyung-Chul Lee, Jungyo Suh, Kyung Hyun Lee, Heonyi Lee, Suryang Seo, Tae Kyong Kim, Sang-Wook Lee, Yi-Jun Kim
Multi-center validation of machine learning model for preoperative prediction of postoperative mortality. npj Digit. Medicine 5 (2022)
Joy Tzung-yu Wu, Miguel Angel Armengol de La Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study. J. Digit. Imaging 35 (6) (2022)
Seong-A. Park, Hyung-Chul Lee, Chul-Woo Jung, Hyun-Lim Yang
Attention Mechanisms for Physiological Signal Deep Learning: Which Attention Should We Take? MICCAI (1) (2022)
Seong-A. Park, Hyung-Chul Lee, Chul-Woo Jung, Hyun-Lim Yang
Attention mechanisms for physiological signal deep learning: which attention should we take? CoRR (2022)
Joy Tzung-yu Wu, Miguel Angel Armengol de La Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi
Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study. CoRR (2021)
Hyun-Lim Yang, Hyung-Chul Lee, Chul-Woo Jung, Min-Soo Kim
A Deep Learning Method for Intraoperative Age-agnostic and Disease-specific Cardiac Output Monitoring from Arterial Blood Pressure. BIBE (2020)
Yongjae Park, Su-Hyun Han, Wooseok Byun, Ji-Hoon Kim, Hyung-Chul Lee, Seong-Jin Kim
A Real-Time Depth of Anesthesia Monitoring System Based on Deep Neural Network With Large EDO Tolerant EEG Analog Front-End. IEEE Trans. Biomed. Circuits Syst. 14 (4) (2020)