Ji Young Jeon

Assistant professor

Gachon University Gil Medical Center

South Korea

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About

Dr. Ji Young Jeon is an Assistant Professor at Gachon University Gil Medical Center in South Korea. His research focuses on advanced imaging techniques and computer-aided diagnosis, particularly in the areas of musculoskeletal radiology and orthopedic surgery. Recent publications include studies on gadobutrol efficacy in MRI, deep learning applications for vertebral measurements, and the assessment of spinal curvatures.

Articles (11)

Year:

2025

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (3)

Young Jae Kim

Assistant Professor

Gachon University - Medical Campus

SOUTH KOREA

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Kunhyung Bae

Clinical associate professor

Seoul National University Hospital

SOUTH KOREA

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Yu Mi Jeong

Gachon University Gil Medical Center

SOUTH KOREA

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Ji Young Jeon

Research Interests

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Articles (11)

Efficacy of reduced-dose gadobutrol versus standard-dose gadoterate in contrast-enhanced MRI for the evaluation of diabetic foot osteomyelitis

Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography

Analysis of critical report notification from musculoskeletal radiology in a tertiary academic medical institution with a regional trauma center

Assessment of Hindfoot Alignment: Intraoperative Fluoroscopy Versus Standing Radiograph

Author Correction: A deep learning algorithm for automated measurement of vertebral body compression from X-ray images (Scientific Reports, (2021), 11, 1, (13732), 10.1038/s41598-021-93017-x)

Comparison of 2D Thin Section Dixon, 3D Isotropic SPACE, and 2D T2-Weighted Sequences in Ankle MRI

Injury-mechanism directness as a key factor for fracture laterality in pediatric extremity fractures

MRI of Migrated Polyethylene Insert of Mobi-C Implant

Triaging deep vein thrombosis using ultrasonography after lower-extremity orthopedic surgery: analysis of a single-center experience

A deep learning algorithm for automated measurement of vertebral body compression from X-ray images

Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images

Collaborators (3)

Young Jae Kim

Kunhyung Bae

Yu Mi Jeong

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