Jung-Eun Cheon

Associate Professor

Seoul National University College of Medicine

South Korea

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Jung-Eun Cheon is an Associate Professor at Seoul National University College of Medicine, South Korea. Her research primarily focuses on pediatric imaging techniques, including the analysis of hepatic shear wave elasticity and pediatric brain MRI utilizing deep learning methodologies. Recent publications highlight her work on ultrasonography and the evaluation of imaging quality in pediatric patients.

Jung-Eun Cheon

Research Interests

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Articles (22)

Effect of breath control on hepatic shear wave elasticity and dispersion in pediatric patients

Cerebellar hemorrhage in neonates: pattern analysis by ultrasonography and magnetic resonance imaging

Shaping the future of <italic>Ultrasonography</italic>: bimonthly publication and global growth

Evaluation of Image Quality and Scan Time Efficiency in Accelerated 3D T1-Weighted Pediatric Brain MRI Using Deep Learning-Based Reconstruction

Ultrafast MRI for Pediatric Brain Assessment in Routine Clinical Practice

Correction to: Low‑iodine‑dose computed tomography coupled with an artificial intelligence‑based contrast‑boosting technique in children: a retrospective study on comparison with conventional‑iodine‑dose computed tomography

Low-iodine-dose computed tomography coupled with an artificial intelligence-based contrast-boosting technique in children: a retrospective study on comparison with conventional-iodine-dose computed tomography

Shear wave elastography and dispersion imaging for hepatic veno-occlusive disease prediction after pediatric hematopoietic stem cell transplantation: a feasibility study

Feasibility of a deep learning artificial intelligence model for the diagnosis of pediatric ileocolic intussusception with grayscale ultrasonography

Pediatric Hip Disorders

Congenital Intracranial Vascular Malformations in Children : Radiological Overview

Ultrasonography: celebrating 10 years of progress and opening a new chapter in 2024

Ultra-low-dose computed tomography with deep learning reconstruction for craniosynostosis at radiation doses comparable to skull radiographs: a pilot study

The effect of hypothalamic involvement and growth hormone treatment on cardiovascular risk factors during the transition period in patients with childhood-onset craniopharyngioma

Usefulness of two-dimensional shear wave elastography in diagnosing hepatic veno-occlusive disease in pediatric patients undergoing hematopoietic stem cell transplantation

Ultrasonography: turning the corner

Cerebrovascular Arteriopathy in Microcephalic Osteodysplastic Primordial Dwarfism Type II

Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation

Development and Evaluation of Deep Learning-Based Automatic Segmentation Model for Skull Zero TE MRI in Children

Monitoring Posterior Cerebral Perfusion Changes With Dynamic Susceptibility Contrast-Enhanced Perfusion MRI After Anterior Revascularization Surgery in Pediatric Moyamoya Disease

Factors influencing outcomes of esophageal balloon dilatation for anastomosis site stenosis after esophageal atresia surgery

Development and evaluation of deep-learning measurement of leg length discrepancy: bilateral iliac crest height difference measurement

Collaborators (5)

Choong Ho Shin

Yeon Jin Cho

Ji Hye Kim

Jae-Yeon Hwang

Chang Ho Shin

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