Yong-Yeon Jo

发表

Electrocardiographic biomarker based on machine learning for detecting overt hyperthyroidism

B. Choi, Jong-Hwan Jang, M. Son, 2022, European heart journal. Digital health.

Deep-learning model for screening sepsis using electrocardiography

Yong-Yeon Jo, J. Kwon, Kyung-Hee Kim, 2021, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.

Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram.

Young-Hoon Cho, Yong-Yeon Jo, J. Kwon, 2020, International journal of cardiology.

Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study

Jong-Hwan Jang, Yong-Yeon Jo, J. Kwon, 2022, PloS one.

Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography

Yong-Yeon Jo, J. Kwon, Jinsik Park, 2022, International Urology and Nephrology.

Detection and classification of arrhythmia using an explainable deep learning model.

Yong-Yeon Jo, J. Kwon, K. Jeon, 2021, Journal of electrocardiology.

Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm

Yong-Yeon Jo, J. Kwon, K. Jeon, 2021, European heart journal. Digital health.

Deep Learning Model for Detection of Hypoalbuminemia Using Electrocardiography

Yong-Yeon Jo, J. Kwon, Jinsik Park, 2021 .

Artificial intelligence for detecting electrolyte imbalance using electrocardiography

Yong-Yeon Jo, J. Kwon, K. Jeon, 2021, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.

Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG

Min Sung Lee, Yong-Yeon Jo, J. Kwon, 2022, Diagnostics.

An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period.

B. Choi, Min Sung Lee, Yong-Yeon Jo, 2022, International journal of cardiology.

Efficient Data Augmentation Policy for Electrocardiograms

Yong-Yeon Jo, ByeongTak Lee, Joon-Myoung Kwon, 2022, CIKM.

ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads

Jong-Hwan Jang, Yong-Yeon Jo, J. Kwon, 2021, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ECGT2T: Electrocardiogram synthesis from Two asynchronous leads to Ten leads pdf

Joon-Myoung Kwon, Yong-Yeon Jo, Yong-Yeon Jo, 2021, ArXiv.

Optimizing Neural Network Scale for ECG Classification

Yong-Yeon Jo, ByeongTak Lee, Joon-Myoung Kwon, 2023, ArXiv.