SUNG HWAN BAE

Soonchunhyang University Hospital Bucheon

South Korea

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Professors in South Korea Professors in Medical Imaging Medical Imaging professors in South Korea

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Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

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2025

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Collaborators (8)

Jeong Hyun Lee

Clinical Assistant Professor

Samsung Medical Center

SOUTH KOREA

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Eun Ji Lee

Seoul National University Hospital

SOUTH KOREA

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Yoon-Hyeong Choi

Gachon University College of Medicine

SOUTH KOREA

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Bo Da Nam

Assistant professor

Soonchunhyang University

SOUTH KOREA

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Byung Wook Yoo

Seoul National University Hospital

SOUTH KOREA

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Eunsun Oh

Soonchunhyang University Hospital Bucheon

SOUTH KOREA

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Kyeongmin Kim

Soonchunhyang University

SOUTH KOREA

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Jung Hwa Hwang

Professor

Soonchunhyang University Hospital Bucheon

SOUTH KOREA

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SUNG HWAN BAE

Research Interests

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Articles (10)

Novel non-invasive and quantitative assessment of the renal function of transplanted kidneys using Doppler ultrasonography with the vascular index of superb microvascular imaging

Anatomical Variations, Genitourinary Anomalies and Clinical Presentations in Obstructed Hemivagina and Ipsilateral Renal Anomaly Syndrome: Case Series

Comprehensive Review of Endometriosis Based on Imaging Findings: What Radiologists Need to Know

Evaluating the Accuracy and Clinical Utility of Bioelectrical Impedance Analysis (BIA) Devices for Body Composition Measurements in Clinical Practice: Comparison of Four Types of BIA Equipment and Dual-Energy X-ray Absorptiometry

Retrospective review of endoscopic clip-guided embolization in angiogram-negative acute lower gastrointestinal bleeding

Transperineal US-Guided Biopsy in Metastatic Prostate Cancer with Low Prostate Specific Antigen: A Case Report

Transperineal versus transrectal prostate fiducial insertion in radiation treatment of prostate cancer: a systematic review and meta-analysis

Long-Term Follow-Up of Interstitial Lung Abnormalities in Low-Dose Chest CT in Health Screening: Exploring the Predictors of Clinically Significant Interstitial Lung Diseases Using Artificial Intelligence-Based Quantitative CT Analysis

Interobserver Variability and Diagnostic Performance in Predicting Malignancy of Pancreatic Intraductal Papillary Mucinous Neoplasm with MRI

Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: Comparison with conventional diffusion weighted imaging

Collaborators (8)

Jeong Hyun Lee

Eun Ji Lee

Yoon-Hyeong Choi

Bo Da Nam

Byung Wook Yoo

Eunsun Oh

Kyeongmin Kim

Jung Hwa Hwang

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