Hyun-Lim Yang

Assistant Professor, Office of hospital information, Seoul National University Hospital

Adjunct Assistant Professor, Department of Medicine, Seoul National University

Joined

May 2024

Names

Hyun-Lim Yang (Preferred)

Emails

****@snu.ac.kr (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Office of hospital information, Seoul National University Hospital (snuh.org)

2024 – Present

Adjunct Assistant Professor

Department of Medicine, Seoul National University (snu.ac.kr)

2024 – Present

Research Assistant Professor

Biomedical Research Institute, Seoul National University Hospital (snuh.org)

2021 – 2024

PhD student

Daegu Gyeongbuk Institute of Science and Technology (dgist.ac.kr)

2017 – 2021

Advisors, Relations & Conflicts

Coworker

Hyung-Chul Lee

2018 – Present

PhD Advisor

Min-Soo Kim

2017 – 2021

Expertise

No areas of expertise listed

Publications

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
- Readers: Everyone
Comparison of self-supervised learning methods for optical coherence tomography image classification
Sungho Shim, Hyun-Lim Yang, Min-Soo Kim
- ICMHI 2024
- Readers: Everyone
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. 2023
- Readers: Everyone
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
- Readers: Everyone
Attention Mechanisms for Physiological Signal Deep Learning: Which Attention Should We Take?
Seong-A. Park, Hyung-Chul Lee, Chul-Woo Jung, Hyun-Lim Yang
- MICCAI (1) 2022
- Readers: Everyone
Attention mechanisms for physiological signal deep learning: which attention should we take?
Seong-A. Park, Hyung-Chul Lee, Chul-Woo Jung, Hyun-Lim Yang
- CoRR 2022
- Readers: Everyone
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
- BIBE 2020
- Readers: Everyone

Hyun-Lim Yang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

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

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

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

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

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

Attention mechanisms for physiological signal deep learning: which attention should we take?

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

Co-Authors