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2020 – today
- 2024
[j9]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: 104680 (2024)- [j8]Soo Bin Yoon, Jipyeong Lee, Hyung-Chul Lee
, Chul-Woo Jung, Hyeonhoon Lee:
Comparison of NLP machine learning models with human physicians for ASA Physical Status classification. npj Digit. Medicine 7(1) (2024) - [c3]Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Hyung-Chul Lee:
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health. IJCAI 2024: 7421-7429 - 2023
- [j7]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: 106739 (2023) - [j6]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): 79-88 (2023) - [j5]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) - [j4]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) - 2022
- [j3]Joy Tzung-yu Wu, Miguel Ángel 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): 1514-1529 (2022) - [j2]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) - [c2]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: 613-622 - [i2]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 abs/2207.06904 (2022) - 2021
- [i1]Joy Tzung-yu Wu, Miguel Ángel 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 abs/2109.02439 (2021) - 2020
- [j1]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): 825-837 (2020) - [c1]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: 662-666
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