Hyung-Chul Lee
Orcid: 0000-0003-0048-7958
According to our database1,
Hyung-Chul Lee
authored at least 9 papers
between 2020 and 2023.
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Bibliography
2023
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture.
J. Am. Medical Informatics Assoc., December, 2023
Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset.
Comput. Biol. Medicine, April, 2023
Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU.
npj Digit. Medicine, 2023
Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia.
npj Digit. Medicine, 2023
2022
Multi-center validation of machine learning model for preoperative prediction of postoperative mortality.
npj Digit. Medicine, 2022
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study.
J. Digit. Imaging, 2022
Attention Mechanisms for Physiological Signal Deep Learning: Which Attention Should We Take?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2020
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., 2020
A Deep Learning Method for Intraoperative Age-agnostic and Disease-specific Cardiac Output Monitoring from Arterial Blood Pressure.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020