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Jong-Hwan Jang
Jong-Hwan Jang
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Verified email at ajou.ac.kr - Homepage
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Cited by
Year
Effectiveness of transfer learning for deep learning-based electrocardiogram analysis
JH Jang, TY Kim, D Yoon
Healthcare informatics research 27 (1), 19, 2021
312021
Deep learning approach for imputation of missing values in actigraphy data: Algorithm development study
JH Jang, J Choi, HW Roh, SJ Son, CH Hong, EY Kim, TY Kim, D Yoon
JMIR mHealth and uHealth 8 (7), e16113, 2020
252020
Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder
JH Jang, TY Kim, HS Lim, D Yoon
PLoS One 16 (12), e0260612, 2021
192021
Automated detection of acute myocardial infarction using asynchronous electrocardiogram signals—preview of implementing artificial intelligence with multichannel …
C Han, Y Song, HS Lim, Y Tae, JH Jang, BT Lee, Y Lee, W Bae, D Yoon
Journal of Medical Internet Research 23 (9), e31129, 2021
182021
Discovering hidden information in biosignals from patients using artificial intelligence
D Yoon, JH Jang, BJ Choi, TY Kim, CH Han
Korean journal of anesthesiology 73 (4), 275, 2020
182020
Construction of an electrocardiogram database including 12 lead waveforms
D Chung, J Choi, JH Jang, TY Kim, JH Byun, H Park, HS Lim, RW Park, ...
Healthcare informatics research 24 (3), 242, 2018
182018
Quantitative evaluation of the relationship between T-wave-based features and serum potassium level in real-world clinical practice
D Yoon, HS Lim, JC Jeong, TY Kim, J Choi, JH Jang, E Jeong, CM Park
BioMed Research International 2018, 2018
142018
Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study
YY Jo, JH Jang, J Kwon, HC Lee, CW Jung, S Byun, HG Jeong
Plos one 17 (8), e0272055, 2022
82022
Electrocardiographic biomarker based on machine learning for detecting overt hyperthyroidism
B Choi, JH Jang, M Son, MS Lee, YY Jo, JY Jeon, U Jin, M Soh, RW Park, ...
European Heart Journal-Digital Health 3 (2), 255-264, 2022
72022
Machine learning approach for active vaccine safety monitoring
Y Kim, JH Jang, N Park, NY Jeong, E Lim, S Kim, NK Choi, D Yoon
Journal of Korean Medical Science 36 (31), 2021
52021
Modeling brain volume using deep learning-based physical activity features in patients with dementia
B Park, BJ Choi, H Lee, JH Jang, HW Roh, EY Kim, CH Hong, SJ Son, ...
Frontiers in Neuroinformatics 16, 795171, 2022
32022
Does Exposure to Computed Tomography Contrast Media Increase Risk of End-Stage Renal Disease?
E Lim, JH Jang, D Yoon, YG Min, HH Kim
Medical Science Monitor: International Medical Journal of Experimental and …, 2020
32020
Identifying atrial fibrillation with sinus rhythm electrocardiogram in embolic stroke of undetermined source: a validation study with insertable cardiac monitors
KH Jeon, JH Jang, S Kang, HS Lee, MS Lee, JM Son, YY Jo, TJ Park, ...
Korean Circulation Journal 53 (11), 758, 2023
22023
ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads
YY Jo, YS Choi, JH Jang, JM Kwon
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
Novel Electrocardiogram Generating Technique Using Artificial Intelligence: From 2-lead to 12-lead
HS Lee, YY Jo, S Kang, JH Jang, JM Son, MS Lee, JM Kwon
Circulation 146 (Suppl_1), A13564-A13564, 2022
2022
Opening the Black Box of Artificial Intelligence: Visualization of Detecting Heart Failure Subtypes Using Electrocardiography
HS Lee, JH Jang, S Kang, YY Jo, JM Son, MS Lee, JM Kwon
Circulation 146 (Suppl_1), A13558-A13558, 2022
2022
Electrocardiographic-Based Artificial Intelligence Model in Prediction of 1-year Mortality in Heart Failure With Reduced Ejection Fraction
HS Lee, S Kang, JH Jang, YY Jo, JM Son, MS Lee, JM Kwon
Circulation 146 (Suppl_1), A13550-A13550, 2022
2022
Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads
YY Jo, YS Choi, JH Jang, JM Kwon
arXiv preprint arXiv:2103.00006, 2021
2021
Cheyne-Stokes Respiration and Prognosis in Neurocritical Patients
TJ Kim, D Yoon, JH Kim, JH Jang
Journal of Sleep Medicine 17 (1), 84-92, 2020
2020
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