Hyun-Chul Kim

Assistant Professor

Kyungpook National University

South Korea

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About

Hyun-Chul Kim is an Assistant Professor at Kyungpook National University in South Korea. His research areas include transcranial focused ultrasound, neuroimaging techniques, and their applications in both clinical and preclinical settings. Recent publications focus on the effects of low-intensity ultrasound in treating major depressive disorder, as well as advancements in systematic generalization for linear transformers. His work also explores various auditory and cognitive processes using advanced imaging methods.

Articles (12)

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2025

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2024

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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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2021

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2020

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2020

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2020

Collaborators (4)

Jong-Hwan Lee

Assistant, Associate, and Full Professor

Korea University

SOUTH KOREA

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Jaeho Kim

Assistant Professor

Hallym University Dongtan Sacred Heart Hospital

SOUTH KOREA

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Junhyung Kim

SOUTH KOREA

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Hyu Seok ‍Jeong

Clinical assistant professor, M.D.

Dankook University Hospital

SOUTH KOREA

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Hyun-Chul Kim

Research Interests

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Articles (12)

Transcranial focused ultrasound to nucleus accumbens reverses fentanyl-induced conditioned place preference in rats

Effect of Low-Intensity Transcranial Focused Ultrasound Stimulation in Patients With Major Depressive Disorder: A Randomized, Double-Blind, Sham-Controlled Clinical Trial

Evaluation of advective solute infiltration into porous media by pulsed focused ultrasound-induced acoustic streaming effects

Improving Systematic Generalization of Linear Transformer Using Normalization Layers and Orthogonality Loss Function

High Incidence of Intracerebral Hemorrhaging Associated with the Application of Low-Intensity Focused Ultrasound Following Acute Cerebrovascular Injury by Intracortical Injection

Focused ultrasound enhances the anesthetic effects of topical lidocaine in rats

Transcranial focused ultrasound modulates cortical and thalamic motor activity in awake sheep

Mixed‐effects multilevel analysis followed by canonical correlation analysis is an effective fMRI tool for the investigation of idiosyncrasies

Transcutaneous application of ultrasound enhances the effects of finasteride in a murine model of androgenic alopecia.

fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations

Personalized prediction of smartphone-based psychotherapeutic micro-intervention success using machine learning

Test–retest reliability of spatial patterns from resting-state functional MRI using the restricted Boltzmann machine and hierarchically organized spatial patterns from the deep belief network

Collaborators (4)

Jong-Hwan Lee

Jaeho Kim

Junhyung Kim

Hyu Seok ‍Jeong

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