Jong Hyo Kim

Associate Professor

Seoul National University College of Medicine

South Korea

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About

Jong Hyo Kim is an Associate Professor at Seoul National University College of Medicine, South Korea. His research interests encompass deep learning applications in medical imaging, focusing on areas such as pulmonary nodule characterization, vertebral compression fractures detection, and automated image quality assessments. His recent publications highlight advances in CT imaging through innovative algorithms and AI-assisted tools aimed at improving diagnostic accuracy and efficiency.

Articles (10)

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2025

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2025

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2025

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2024

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2024

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2022

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2021

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2021

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2021

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2020

Collaborators (3)

Minsoo Chun

Seoul National University Medical Research Center

SOUTH KOREA

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Wookjin Choi

Assistant Professor/Computational Physicist

Thomas Jefferson University

UNITED STATES

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Ki Hong Lee

Assistant professor

Chonnam National University Hospital

SOUTH KOREA

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Jong Hyo Kim

Research Interests

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About

Articles (10)

Impact of Deep Learning 3D CT Super-Resolution on AI-Based Pulmonary Nodule Characterization

Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant Classification

Automated Audit and Self-Correction Algorithm for Seg-Hallucination Using MeshCNN-Based On-Demand Generative AI

AI-assisted Segmentation Tool for Brain Tumor MR Image Analysis

Improved Consistency of Lung Nodule Categorization in CT Scans with Heterogeneous Slice Thickness by Deep Learning-Based 3D Super-Resolution

Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study

Estimation of Noise Level and Edge Preservation for Computed Tomography Images: Comparisons in Iterative Reconstruction

Simulated Radiation Dose Reduction in Whole-Body CT on a 3rd Generation Dual-Source Scanner: An Intraindividual Comparison

Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT

Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction

Collaborators (3)

Minsoo Chun

Wookjin Choi

Ki Hong Lee

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