Jaeik Jeon
Seoul, Republic of Korea
Last Updated: 09/26/2026
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Found 15 publications
Deep Learning-Based Multiclass Classification of Mitral Valve Etiologies Using Limited B-Mode and Color Doppler Echocardiography: Internal and External Validation.
Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Published: January 17, 2026
Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression.
Journal: Journal of the American Heart Association
Published: January 14, 2026
Deep learning-based multi-view echocardiographic framework for comprehensive diagnosis of pericardial disease.
Journal: European heart journal. Digital health
Published: August 07, 2025
Single-View Echocardiographic Analysis for Left Ventricular Outflow Tract Obstruction Prediction in Hypertrophic Cardiomyopathy: A Deep Learning Approach.
Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Published: August 03, 2025
Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation.
Journal: Circulation. Cardiovascular imaging
Published: March 27, 2025
Novel deep learning framework for simultaneous assessment of left ventricular mass and longitudinal strain: clinical feasibility and validation in patients with hypertrophic cardiomyopathy.
Journal: Journal of echocardiography
Published: March 21, 2025
Utilizing deep learning for accurate assessment of aortic valve stenosis: case series for clinical applications.
Journal: Journal of cardiovascular imaging
Published: March 12, 2025
Deep Learning-Based Detection and Severity Assessment of Bicuspid Aortic Valve Stenosis.
Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Published: March 12, 2025
An Artificial Intelligence-Based Automated Echocardiographic Analysis: Enhancing Efficiency and Prognostic Evaluation in Patients With Revascularized STEMI.
Journal: Korean circulation journal
Published: February 06, 2024
Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction.
Journal: Cardiovascular diagnosis and therapy
Published: January 15, 2024
Artificial intelligence-enhanced automation for M-mode echocardiographic analysis: ensuring fully automated, reliable, and reproducible measurements.
Journal: The international journal of cardiovascular imaging
Published: September 12, 2023
Last Updated: 09/26/2026