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2020 – today
- 2024
[c3]Sungho Shim
, Hyun-Lim Yang, Min-Soo Kim:
Comparison of self-supervised learning methods for optical coherence tomography image classification. ICMHI 2024: 41-46- 2023
- [j2]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) - [j1]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
- [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 - [i1]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) - 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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