KyungHyun Sung

Associate Professor

University of California, Los Angeles

United States

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KyungHyun Sung is an Associate Professor at the University of California Los Angeles in the United States. His research primarily focuses on advanced medical imaging techniques, including MRI applications in prostate cancer and hepatocellular carcinoma. Recent work includes exploring neural networks for image segmentation and super-resolution, as well as quantitative assessments in various cancer therapies.

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2025

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2020

Collaborators (5)

Rock Hadley

UNITED STATES

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Jason Chiang

Assistant Professor

UCLA Health

UNITED STATES

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Edward Lee

Associate Professor

Ronald Reagan UCLA Medical Center

UNITED STATES

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Steven S. Raman

UNITED STATES

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Holden Wu

Associate Professor

University of California, Los Angeles

UNITED STATES

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KyungHyun Sung

Research Interests

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About

Articles (19)

Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Hepatocellular Carcinoma: A Review of Emerging Applications for Locoregional Therapy

A Neural Conditional Random Field Model Using Deep Features and Learnable Functions for End-to-End MRI Prostate Zonal Segmentation

Deep Learning-based Anatomy-Aware Morph Model for Registration of Prostate Whole-Mount Histopathology to MRI

Editorial for “T2*‐Relaxometry MRI to Assess Third‐Trimester Placental and Fetal Brain Oxygenation and Placental Characteristics in Healthy Fetuses and Fetuses with Congenital Heart Disease”

MRI Super-Resolution With Partial Diffusion Models

Quantitative 3-T Multiparametric MRI Parameters as Predictors of Aggressive Prostate Cancer

NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolution

Characterization of Microwave Generator Energy and Ablation Volumes following Transarterial Embolization in an In Vivo Porcine Liver Model

A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion Imaging

Clinical Significance of Background Parenchymal Enhancement in Breast Cancer Risk Stratification

Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI

Dynamic Contrast-Enhanced MR Imaging Evaluation of Perfusional Changes and Ablation Zone Size after Combination Embolization and Ablation Therapy

CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI

High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution

Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI

A Miniature Flexible Coil for High-SNR MRI of the Pituitary Gland

Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification

Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3‐T Multiparametric Magnetic Resonance Imaging

Characterization of Uterine Motion in Early Gestation Using MRI-Based Motion Tracking

Collaborators (5)

Rock Hadley

Jason Chiang

Edward Lee

Steven S. Raman

Holden Wu

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