Hwan Seok Yong

professor

Seoul National University Hospital

South Korea

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About

Hwan Seok Yong is a professor at Korea University Guro Hospital in South Korea. His research focuses on advanced imaging techniques and their applications in cardiology and dental diagnostics, as evidenced by his recent publications on deep learning in chest CT scans, clinical imaging guidelines, and the use of robotic techniques in lung cancer treatment. He has also explored the long-term consequences of COVID-19 in radiologic assessments and the feasibility of portable X-ray devices in clinical settings.

Articles (15)

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2025

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2024

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2023

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2022

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2022

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2022

Collaborators (19)

Carlo N. De Cecco

Associate Professor of Radiology and Biomedical Informatics

Emory University

UNITED STATES

Hwan Seok Yong

Research Interests

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Articles (15)

Impact of Deep Learning-Based Image Conversion on Fully Automated Coronary Artery Calcium Scoring Using Thin-Slice, Sharp-Kernel, Non-Gated, Low-Dose Chest CT Scans: A Multi-Center Study

Is a Camera-Type Portable X-Ray Device Clinically Feasible in Chest Imaging?: Image Quality Comparison with Chest Radiographs Taken with Traditional Mobile Digital X-Ray Devices

COVID-19’s Radiologic, Functional, and Serologic Consequences at 6-Month and 18-Month Follow-up: A Prospective Cohort Study

Initial Experience of Single-Port Robotic Lobectomy for Large-Sized Non-Small Cell Lung Cancer: A Single-Center Retrospective Study

Developing evidence-based clinical imaging guidelines for the diagnosis of vertically fractured teeth

Visualization of Borderline Coronary Artery Lesions by CT Angiography and Coronary Artery Disease Reporting and Data System

Electronic Cigarette or Vaping-Associated Lung Injury Manifested as Acute Eosinophilic Pneumonia: A Case Report

Deep learning-based pectoralis muscle volume segmentation method from chest computed tomography image using sagittal range detection and axial slice-based segmentation

Role of Dual-Acquisition Noninvasive Cardiac CT Imaging for the Detection of Vasospastic Angina

Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence

A Modified Length-Based Grading Method for Assessing Coronary Artery Calcium Severity on Non-Electrocardiogram-Gated Chest Computed Tomography: A Multiple-Observer Study

Q Fever Endocarditis Combined With Thrombus and Antiphospholipid Syndrome

Korean Clinical Practice Guidelines for Adverse Reactions to Intravenous Iodinate and MRI-Gadolinium Contrast Agents: Revised Clinical Consensus and Recommendations (3rd Edition, 2022)

Korean Clinical Imaging Guidelines for Justification of Diagnostic Imaging Study for COVID-19

Accuracy of two deep learning–based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra–low-dose chest computed tomography: A phantom study

Collaborators (19)

Carlo N. De Cecco

Tae-Bum Kim

Moo-Hyun Kim

Jieun Lee

Min Jae Cha

Chanho Park

Matthew Budoff

Bo Da Nam

Eun-Young Kang

Kyung Hee Lim

Jin Young Kim

Suyon Chang

Soon Young Hwang

Sung Ho Hwang

Jah Yeon Choi

Young-Hoon Yoon

Hyeri Seok

Jae-Hyun Lee

Hangseok Choi

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