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Jong-Hwan Jang

Showing results (1-10 of 23) with videos related to

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Healthcare Informatics Research|February 21, 2021
Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram AnalysisJong-Hwan Jang, Tae Young Kim, Dukyong Yoon
Plos One|December 1, 2021
Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoderJong-Hwan Jang, Tae Young Kim, Hong-Seok Lim, et al.
RSC Advances|January 21, 2025
Synthesis and characteristics of water-based, rosin-modified, polymerized oil based on dehydrated castor oil acid and zinc resinateYong-A Choe, Su-Il Kim, Jong-Hwan Jang, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|March 24, 2020
Does Exposure to Computed Tomography Contrast Media Increase Risk of End-Stage Renal Disease?Eunsoo Lim, Jong-Hwan Jang, Dukyong Yoon, et al.
Korean Journal of Anesthesiology|January 20, 2020
Discovering hidden information in biosignals from patients using artificial intelligenceDukyong Yoon, Jong-Hwan Jang, Byung Jin Choi, et al.
Journal of Korean Medical Science|August 17, 2021
Machine Learning Approach for Active Vaccine Safety MonitoringYujeong Kim, Jong Hwan Jang, Namgi Park, et al.
Scientific Reports|July 2, 2025
A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX)Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, et al.
Plos One|August 9, 2022
Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective studyYong-Yeon Jo, Jong-Hwan Jang, Joon-Myoung Kwon, et al.
Journal of Medical Internet Research|September 10, 2021
Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals-Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective StudyChangho Han, Youngjae Song, Hong-Seok Lim, et al.
JMIR Mhealth and Uhealth|May 24, 2020
Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development StudyJong-Hwan Jang, Junggu Choi, Hyun Woong Roh, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Healthcare Informatics Research|February 21, 2021
Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram AnalysisJong-Hwan Jang, Tae Young Kim, Dukyong Yoon
Plos One|December 1, 2021
Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoderJong-Hwan Jang, Tae Young Kim, Hong-Seok Lim, et al.
RSC Advances|January 21, 2025
Synthesis and characteristics of water-based, rosin-modified, polymerized oil based on dehydrated castor oil acid and zinc resinateYong-A Choe, Su-Il Kim, Jong-Hwan Jang, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|March 24, 2020
Does Exposure to Computed Tomography Contrast Media Increase Risk of End-Stage Renal Disease?Eunsoo Lim, Jong-Hwan Jang, Dukyong Yoon, et al.
Korean Journal of Anesthesiology|January 20, 2020
Discovering hidden information in biosignals from patients using artificial intelligenceDukyong Yoon, Jong-Hwan Jang, Byung Jin Choi, et al.
Journal of Korean Medical Science|August 17, 2021
Machine Learning Approach for Active Vaccine Safety MonitoringYujeong Kim, Jong Hwan Jang, Namgi Park, et al.
Scientific Reports|July 2, 2025
A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX)Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, et al.
Plos One|August 9, 2022
Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective studyYong-Yeon Jo, Jong-Hwan Jang, Joon-Myoung Kwon, et al.
Journal of Medical Internet Research|September 10, 2021
Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals-Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective StudyChangho Han, Youngjae Song, Hong-Seok Lim, et al.
JMIR Mhealth and Uhealth|May 24, 2020
Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development StudyJong-Hwan Jang, Junggu Choi, Hyun Woong Roh, et al.
Pageof 3