Sunghee Jung

Assistant professor

Kookmin University

South Korea

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About

Dr. Sunghee Jung is an Assistant Professor at Kookmin University, South Korea. His research areas include deep reinforcement learning, artificial intelligence in medical imaging, and generative adversarial networks, focusing on enhancing image analysis in cardiology and intraoral applications. He has published several recent articles addressing topics such as motion artifact correction and the automation of echocardiographic analysis.

Articles (9)

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2025

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2024

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2024

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2023

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2022

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2021

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2021

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Yonsei University College of Medicine

SOUTH KOREA

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Sunghee Jung

Research Interests

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Articles (9)

Deep reinforcement learning for efficient registration between intraoral-scan meshes and CT images

Cycle Consistent Generative Motion Artifact Correction in Coronary Computed Tomography Angiography

Artificial intelligence-enhanced automation for M-mode echocardiographic analysis: ensuring fully automated, reliable, and reproducible measurements

Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks

Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images

Assessment of Image Quality for Selective Intracoronary Contrast-Injected CT Angiography in a Hybrid Angio-CT System: A Feasibility Study in Swine

Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images

Diagnostic Accuracy of a Novel On-site Virtual Fractional Flow Reserve Parallel Computing System

Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

Collaborators (5)

Sang-Eun Lee

Soochahn Lee

Byoung Kwon Lee

Hyuk-Jae Chang

seil Park

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