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Sungil Kim

Hanyang University · Computer Science

About the Lab

Professor Sungil Kim's research lab specializes in neuroimaging and brain structure-function relationships, focusing on psychiatric and neurological disorders such as obsessive-compulsive disorder, juvenile myoclonic epilepsy, and schizophrenia. The lab employs advanced neuroimaging techniques—including voxel-based morphometry, fractal analysis of EEG dynamics, and 3D shape modeling of brain structures—to investigate regional brain abnormalities, structural biomarkers, and neural circuitry disruptions. A key emphasis is placed on developing population-specific brain templates and applying quantitative imaging methods to understand the neurobiological underpinnings of mental and neurological diseases.

neuroimagingbrain morphologyOCDepilepsyEEG dynamics

Research Overview

Papers
63
Total Citations
1,493
Papers (5y)
11
Primary Field
Computer Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
11total
2010
2011
2012
2014
2026
Citations per year (5y)
32total
20102011201220142026

Selected Papers

15
1
Article|840 citations·2005
Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification
June Sic Kim, Vivek Kumar Singh, Jun Ki Lee, Jason P. Lerch, Yasser Ad-Dab’bagh, David MacDonald, Jong Min Lee, Sun I. Kim, Alan C. Evans
SJR Q1NeuroImage
Computer Vision and Pattern RecognitionComputer Science
2
Article|99 citations·2007
Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia
Uicheul Yoon, Jong‐Min Lee, Kiho Im, Yong‐Wook Shin, Baek Hwan Cho, In Young Kim, Jun Soo Kwon, Sun I. Kim
SJR Q1NeuroImage
Cognitive NeuroscienceNeuroscience
3
Article|78 citations·2008
Voxel-Based Morphometry Study of Gray Matter Abnormalities in Obsessive-Compulsive Disorder
유소영, 노명선, Jung Seok Choi, 강도형, 하태현, 이종민, In Young Kim, 김선일, 권준수
http://kmbase.medric.or.kr/Main.aspx?d=KMBASE&m=VIEW&i=0191120080230010024

To examine regional abnormalities in the brains of patients with obsessive-compulsive disorder (OCD), we assessed the gray matter (GM) density using voxel-based morphometry (VBM). We compared magnetic resonance images (MRIs) acquired from 71 OCD patients and 71 age- and gender-matched normal controls and examined the relationship between GM density and various clinical variables in OCD patients. We also investigated whether GM density differs among the subtypes of OCD compared to healthy control

4
Article|66 citations·2004
Nonlinear-analysis of human sleep EEG using detrended fluctuation analysis
Jong‐Min Lee, Dae‐Jin Kim, In Young Kim, Kwang Suk Park, Sun I. Kim
SJR Q3Medical Engineering & Physics

Quantification of the fractal scaling properties of human sleep EEG dynamics was sought and each normal sleep stage was compared with that of sleep apnea. The fractal scaling exponents that quantify power-law correlations were computed using detrended fluctuation analysis. Six healthy subjects, aged 30-35 years, participated and six recordings of the apnea were acquired from MIT/BIH polysomnography database. The data were 8-h baseline recordings (23:00-07:00 h). The EEG signals from the C4-A1 de

Economics and EconometricsEconomics, Econometrics and Finance
5
Article|54 citations·2005
Development of Korean Standard Brain Templates
이재성, 이동수, 김진수, 김유경, 강은주, 강혜진, 강건욱, 이종민, 김재진, 박해정, 권준수, 김선일
http://kmbase.medric.or.kr/Main.aspx?d=KMBASE&m=VIEW&i=0191120050200030483

We developed age, gender and ethnic specific brain templates based on MR and Positron-Emission Tomography (PET) images of Korean normal volunteers. Seventy- eight normal right-handed volunteers (M/F=49/29) underwent 3D T1-weighted SPGR MR and F-18-FDG PET scans. For the generation of standard templates, an optimal target brain that has the average global hemispheric shape was selected for each gender. MR images were then spatially normalized by linear transformation to the target brains, and nor

6
Article|45 citations·2001
Short-Term Treatment of Acrophobia with Virtual Reality Therapy (VRT): A Case Report
Young Hee Choi, Dong Pyo Jang, Jeong H. Ku, Min B. Shin, Sun I. Kim
CyberPsychology & Behavior
Human-Computer InteractionComputer Science
7
Article|39 citations·2006
Structural Brain Abnormalities in Juvenile Myoclonic Epilepsy Patients: Volumetry and Voxel-Based Morphometry
태우석, Seung Bong Hong, Eun Yun Joo, Sun Jung Han, Jae-Wook Cho, 서대원, 이종민, 김인영, 변홍식, 김선일

Objective: We aimed to find structural brain abnormalities in juvenile myoclonic epilepsy (JME) patients. Materials and Methods: The volumes of the cerebrum, hippocampus and frontal lobe and the area of the corpus callosum’s subdivisions were all semiautomatically measured, and then optimized voxel-based morphometry (VBM) was performed in 19 JME patients and 19 age/gender matched normal controls. Results: The rostrum and rostral body of the corpus callosum and the left hippocampus were significa

8
Article|34 citations·2002
Virtual Reality System for Treatment of the Fear of Public Speaking Using Image-Based Rendering and Moving Pictures
Jae Moo Lee, Jeong H. Ku, Dong Pyo Jang, Dong H. Kim, Young Hee Choi, In Y. Kim, Sun I. Kim
CyberPsychology & Behavior

The fear of speaking is often cited as the world's most common social phobia. The rapid growth of computer technology enabled us to use virtual reality (VR) for the treatment of the fear of public speaking. There have been two techniques used to construct a virtual environment for the treatment of the fear of public speaking: model-based and movie-based. Virtual audiences and virtual environments made by model-based technique are unrealistic and unnatural. The movie-based technique has a disadva

Human-Computer InteractionComputer Science
9
Article|30 citations·2005
Asymmetry analysis of deformable hippocampal model using the principal component in schizophrenia
Sun Hyung Kim, Jong‐Min Lee, Hyun‐Pil Kim, Dong Pyo Jang, Yong‐Wook Shin, Tae Hyon Ha, Jae‐Jin Kim, In Young Kim, Jun Soo Kwon, Sun I. Kim
SJR Q1Human Brain MappingOA

The hippocampus is thought to play an important role in learning and memory processing, and impairments in memory, attention, and decision making are found commonly in schizophrenia. Although many studies have reported decreases in hippocampal volume in the left hemisphere in schizophrenia, regionally specific hippocampal volume loss has not been revealed consistently using volume analysis. Recently, many studies have analyzed shape asymmetry using 3-D models; however, inconsistent results have

Geometry and TopologyMathematics
10
Article|28 citations·1998
Detection of epileptiform activities in the EEG using neural network and expert system.
Hyun S. Park, Yong H. Lee, Nam G. Kim, Doo-Soo Lee, Sun I. Kim
PubMed

This paper proposes a multichannel spike detection in long term EEG monitoring for epilepsy. It is achieved by wavelet transform(WT), artificial neural network(ANN) and the expert system. First, a small set of wavelet coefficients is used to represent the characteristics of a single channel epileptic spikes and normal activities. The purpose of this WT is to reduce the number of inputs to the ANN. Next, three layer feed-forward network employing the error back propagation algorithm is trained an

Cognitive NeuroscienceNeuroscience
11
Article|25 citations·2008
Social Pressure-Induced Craving in Patients with Alcohol Dependence: Application of Virtual Reality to Coping Skill Training
Jung Suk Lee, 남궁기, 구정훈, 조상우, Ji Yeon Park, You Kyong Choi, 김재진, 김인영, 김선일, 정영철

Objective: This study was conducted to assess the interaction between alcohol cues and social pressure in the induction of alcohol craving. Methods: Fourteen male patients with alcohol dependence and 14 age-matched social drinkers completed a virtual reality coping skill training program composed of four blocks according to the presence of alcohol cues (×2) and social pressure (×2). Before and after each block, the craving levels were measured using a visual analogue scale. Results: Patients wit

12
Article|23 citations·2003
Modified Magnetic Resonance Image Based Parcellation Method for Cerebral Cortex using Successive Fuzzy Clustering and Boundary Detection
Uicheul Yoon, Jong‐Min Lee, Jae‐Jin Kim, Sang Min Lee, In Young Kim, Jun Soo Kwon, Sun I. Kim
SJR Q2Annals of Biomedical EngineeringOA
Cognitive NeuroscienceNeuroscience
13
Article|16 citations·2009
Virtual Reality for Obsessive-Compulsive Disorder: Past and the Future
Kwanguk Kim, 노대영, 김선일, 김찬형, 김소연

The use of computers, especially for virtual reality (VR), to understand, assess, and treat various mental health problems has been developed for the last decade, including application for phobia, post-traumatic stress disorder, attention deficits, and schizophrenia. However, the number of VR tools addressing obsessive-compulsive disorder (OCD) is still lacking due to the heterogeneous symptoms of OCD and poor understanding of the relationship between VR and OCD. This article reviews the empiric

14
Article|12 citations·2006
A Novel Quantitative Validation of the Cortical Surface Reconstruction Algorithm Using MRI Phantom: Issues on Local Geometric Accuracy and Cortical Thickness
Junki Lee, Jong‐Min Lee, Jae‐Hun Kim, In Young Kim, Alan C. Evans, Sun I. Kim
SJR Q2Lecture notes in computer science
Radiology, Nuclear Medicine and ImagingMedicine
15
Article|12 citations·2011
Dual Surgical Navigation Using Augmented and Virtual Environment Techniques
Sungmin Kim, Jaesung Hong, Sanghyun Joung, Atsushi Yamada, Nozomu Matsumoto, Sun I. Kim, Young Soo Kim, Makoto Hashizume
SJR Q2International Journal of OptomechatronicsOA

To obtain additional depth and visual information in endoscopic surgery, a dual surgical navigation system using virtual reality (VR) and augmented reality (AR) techniques complementarily was developed. A VR environment was constructed in the default 3-D view of the navigation software and an AR environment was developed as a plug-in module. The spatial relationships among the target organ, endoscope, and surgical tools were visualized, and the visual information superimposing invisible organs o

Computer Vision and Pattern RecognitionComputer Science

Research Areas

Computer Vision and Pattern RecognitionCognitive NeuroscienceEconomics and EconometricsHuman-Computer InteractionGeometry and TopologyRadiology, Nuclear Medicine and Imaging

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