Hyun-Lim Yang

According to our database, Hyun-Lim Yang authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients.

Hong Yeul Lee, Soomin Chung, Dongwoo Hyeon, Hyun-Lim Yang, Hyung-Chul Lee, Ho Geol Ryu, Hyeonhoon Lee

npj Digit. Medicine, 2024

Comparison of self-supervised learning methods for optical coherence tomography image classification.

Sungho Shim, Hyun-Lim Yang, Min-Soo Kim

Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024

2023

Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture.

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

J. Am. Medical Informatics Assoc., December, 2023

Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU.

Hyeonhoon Lee, Hyun-Lim Yang, Ho Geol Ryu, Chul-Woo Jung, Youn Joung Cho, Soo Bin Yoon, Hyun-Kyu Yoon, Hyung-Chul Lee

npj Digit. Medicine, 2023

2022

Attention Mechanisms for Physiological Signal Deep Learning: Which Attention Should We Take?

Seong-A. Park, Hyung-Chul Lee, Chul-Woo Jung, Hyun-Lim Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

A Deep Learning Method for Intraoperative Age-agnostic and Disease-specific Cardiac Output Monitoring from Arterial Blood Pressure.

Hyun-Lim Yang, Hyung-Chul Lee, Chul-Woo Jung, Min-Soo Kim

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020