Sung Hyun Yoon

Assistant Professor

Seoul National University Hospital

South Korea

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About

Sung Hyun Yoon is an Assistant Professor at Seoul National University Bundang Hospital in South Korea. His research focuses on advancements in diagnostic techniques for pulmonary diseases, including the use of artificial intelligence in imaging and biopsy methods. Recent publications have explored topics such as the synergistic effects of needle aspiration and biopsy, as well as improving image quality in chest radiography.

Articles (15)

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2020

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2020

Collaborators (8)

Kyong Joon Lee

Assistant Professor

Seoul National University Hospital

SOUTH KOREA

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Junghoon Kim

Associated Professor

Seoul National University Hospital

SOUTH KOREA

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Youkyung Lee

Hanyang University Guri Hospital

SOUTH KOREA

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Junghoan Park

Seoul National University Hospital

SOUTH KOREA

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Eunhee Kim

Ewha Womans University College of Medicine

SOUTH KOREA

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Yeon Wook Kim

Assistant Professor

Seoul National University Hospital

SOUTH KOREA

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JaeHo LEE

Seoul National University College of Medicine

SOUTH KOREA

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Jihang Kim

Ass. Professor

Seoul National University Hospital

SOUTH KOREA

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Sung Hyun Yoon

Research Interests

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About

Articles (15)

Diagnostic Yield and Synergistic Impact of Needle Aspiration and Forceps Biopsy With Electromagnetic Navigation Bronchoscopy for Peripheral Pulmonary Lesions

Improving Image Quality of Chest Radiography with Artificial Intelligence-Supported Dual-Energy X-Ray Imaging System: An Observer Preference Study in Healthy Volunteers

Nontuberculous mycobacterial pulmonary disease presenting as bronchiolitis pattern on CT without cavity or bronchiectasis

Usefulness of longitudinal nodule-matching algorithm in computer-aided diagnosis of new pulmonary metastases on cancer surveillance CT scans

Comparison of electromagnetic navigation bronchoscopy and transthoracic needle biopsy for diagnosing bronchus sign-positive pulmonary lesions

Electromagnetic Navigation Bronchoscopy Versus Radial Endobronchial Ultrasound for Diagnosing Lung Cancer: A Propensity Score-Matched Analysis

Use of artificial intelligence in triaging of chest radiographs to reduce radiologists’ workload

Evaluation of the synergistic impact of needle and forceps biopsy with electromagnetic navigation bronchoscopy: the CONFIDENT-ENB trial design

Volumetric analysis of pulmonary nodules: reducing the discrepancy between the diameter-based volume calculation and voxel-counting method

Effectiveness of radiologist training in improving reader agreement for Lung-RADS 4X categorization

Accuracy and complications of percutaneous transthoracic needle lung biopsy for the diagnosis of malignancy in patients with idiopathic pulmonary fibrosis

Interobserver variability in Lung CT Screening Reporting and Data System categorisation in subsolid nodule-enriched lung cancer screening CTs

Application of N Descriptors Proposed by the International Association for the Study of Lung Cancer in Clinical Staging

Incidence Lung Cancer after a Negative CT Screening in the National Lung Screening Trial: Deep Learning-Based Detection of Missed Lung Cancers

Prognostic Value of Coronary CT Angiography for Predicting Poor Cardiac Outcome in Stroke Patients without Known Cardiac Disease or Chest Pain: The Assessment of Coronary Artery Disease in Stroke Patients Study

Collaborators (8)

Kyong Joon Lee

Junghoon Kim

Youkyung Lee

Junghoan Park

Eunhee Kim

Yeon Wook Kim

JaeHo LEE

Jihang Kim

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