Sung-Hong Park

Associate Professor

Korea Advanced Institute of Science and Technology

South Korea

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Dr. Sung-Hong Park is an Associate Professor at the Korea Advanced Institute of Science and Technology in South Korea. His research focuses on advanced imaging techniques, including cerebral blood flow measurement, glymphatic system studies, and quantitative MRI methods. He has contributed to the development of deep learning-based approaches for imaging reconstruction and monitoring within the tumor microenvironment.

Articles (17)

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2025

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2025

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2024

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2024

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2024

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2024

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2022

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (4)

Eung Yeop Kim

Professor

Samsung Medical Center

SOUTH KOREA

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Won-Jin Moon

Professor

Konkuk University Medical Center

SOUTH KOREA

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Seung Hong Choi

Professor

Seoul National University College of Medicine

SOUTH KOREA

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Jaeseok Park

Sungkyunkwan University

SOUTH KOREA

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Sung-Hong Park

Research Interests

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About

Articles (17)

Simultaneous measurement of cerebral blood flow and cerebrospinal fluid flow using pseudo-continuous arterial spin labeling

Long-term physical exercise facilitates putative glymphatic and meningeal lymphatic vessel flow in humans

SPINNED: Simulation‐based physics‐informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data

Noninvasive ROS imaging and drug delivery monitoring in the tumor microenvironment

A review of deep learning-based reconstruction methods for accelerated MRI using spatiotemporal and multi-contrast redundancies

Quantitative mapping of renal oxygen consumption using pseudo‐continuous arterial spin labeling and quantitative susceptibility mapping in humans

Measurement of changes in cerebrospinal fluid pulsation after traumatic brain injury using echo‐planar imaging‐based functional MRI

Perfusion Maps Acquired From Dynamic Angiography MRI Using Deep Learning Approaches

SIMPLEX: Multiple phase-cycled bSSFP quantitative magnetization transfer imaging with physic-guided simulation learning of neural network

Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization

Measuring glomerular blood transfer rate in kidney using diffusion‐weighted arterial spin labeling

Varying undersampling directions for accelerating multiple acquisition magnetic resonance imaging

Single‐shot pseudo‐centric EPI for magnetization‐prepared imaging

qMTNet: Accelerated quantitative magnetization transfer imaging with artificial neural networks

Artificial neural network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI

Quantitative susceptibility map reconstruction using annihilating filter‐based low‐rank Hankel matrix approach

Reconstruction of multicontrast MR images through deep learning

Collaborators (4)

Eung Yeop Kim

Won-Jin Moon

Seung Hong Choi

Jaeseok Park

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