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Young-geun Choi

Sungkyunkwan University · 医学

研究室紹介

Professor Young-geun Choi's research lab specializes in spinal surgery and spinal disorders, with a focus on minimally invasive surgical techniques, spinal infection management, and clinical outcomes in degenerative and infectious spinal conditions. The lab investigates advanced spinal fixation and fusion methods, including anterior and posterior approaches, and evaluates biomarkers like C-reactive protein (CRP) for early detection of postoperative infections. Additionally, the lab explores the impact of systemic factors—such as statin use and patient-related variables—on surgical outcomes in complex conditions like COVID-19 and spinal stenosis.

spinal surgeryminimally invasive techniquesspinal infectionCRP biomarkerspinal fusion

Research Overview

Papers
65
Total Citations
1,044
Papers (5y)
26
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
26total
2022
2023
2024
2025
2026
Citations per year (5y)
81total
20222023202420252026

Selected Papers

15
1
Article|189 citations·2009
Comparison of Percutaneous Endoscopic Lumbar Discectomy and Open Lumbar Microdiscectomy for Recurrent Disc Herniation
Dong Yeob Lee, Chan Shik Shim, Yong Ahn, Young‐Geun Choi, Ho Jin Kim, Sang‐Ho Lee
SJR Q2Journal of Korean Neurosurgical SocietyOA

OBJECTIVE: The purpose of this study was to compare clinical and radiological outcomes of percutaneous endoscopic lumbar discectomy (PELD) and open lumbar microdiscectomy (OLM) for recurrent disc herniation. METHODS: Fifty-four patients, who underwent surgery, either PELD (25 patients) or repeated OLM (29 patients), due to recurrent disc herniation at L4-5 level, were divided into two groups according to the surgical methods. Excluded were patients with sequestrated disc, calcified disc, severe

Pathology and Forensic MedicineMedicine
2
Article|136 citations·2008
Anterior debridement and fusion followed by posterior pedicle screw fixation in pyogenic spondylodiscitis: autologous iliac bone strut versus cage
Yong Hun Pee, Jong Dae Park, Young‐Geun Choi, Sang‐Ho Lee
SJR Q1Journal of Neurosurgery Spine

OBJECT: An anterior approach for debridement and fusion with autologous bone graft has been recommended as the gold standard for surgical treatment of pyogenic spondylodiscitis. The use of anterior foreign body implants at the site of active infection is still a challenging procedure for spine surgeons. Several authors have recently introduced anterior grafting with titanium mesh cages instead of autologous bone strut in the treatment of spondylodiscitis. The authors present their experience of

SurgeryMedicine
3
Article|124 citations·2009
Mini-Transforaminal Lumbar Interbody Fusion Versus Anterior Lumbar Interbody Fusion Augmented by Percutaneous Pedicle Screw Fixation
Jin-Sung Kim, Byung-Uk Kang, Sang‐Ho Lee, Byungjoo Jung, Young‐Geun Choi, Sang Hyeop Jeon, Ho Yeon Lee
Journal of Spinal Disorders & Techniques

The mini-ALIF group demonstrated key radiographic advantages compared with the mini-TLIF group for adult low-grade isthmic spondylolisthesis. However, clinical and functional outcomes did not demonstrate significant differences between groups.

Pathology and Forensic MedicineMedicine
4
Article|102 citations·2010
Surgical site infection in spinal surgery: detection and management based on serial C-reactive protein measurements
Byung-Uk Kang, Sang-Ho Lee, Yong Ahn, Won-Chul Choi, Young‐Geun Choi
SJR Q1Journal of Neurosurgery Spine

OBJECT: C-reactive protein (CRP) is a well-known sensitive laboratory parameter that shows an increase within 6 hours after the onset of bacterial infection. In relation to surgery, a normal CRP response is a rapid increase followed by a gradual reduction, eventually returning to the normal range. The goal of this study was to determine the diagnostic significance of CRP as a detector for early onset surgical site infection in spinal surgery and to discuss effective medical treatment through cli

SurgeryMedicine
5
Article|15 citations·2018
Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage
Young‐Geun Choi, Johan Lim, Anindya Roy, Junyong Park
SJR Q1Journal of Multivariate AnalysisOA
Computational MechanicsEngineering
6
Article|9 citations·2023
The association between the risk perceptions of COVID-19, trust in the government, political ideologies, and socio-demographic factors: A year-long cross-sectional study in South Korea
Yo Han Lee, Hyun-Hee Heo, Hyerim Noh, Deok Hyun Jang, Young‐Geun Choi, Won Mo Jang, Jin Yong Lee
SJR Q1PLoS ONEOA

Risk perception research, targeting the general public, necessitates the study of the multi-faceted aspects of perceived risk through a holistic approach. This study aimed to investigate the association between the two dimensions of risk perception of COVID-19, i.e., risk as a feeling and analysis, trust in the current government, political ideologies, and socio-demographic factors in South Korea. This study used a year-long repeated cross-sectional design, in which a national sample (n = 23,018

Sociology and Political ScienceSocial Sciences
7
Article|9 citations·2022
The association between statin and COVID-19 adverse outcomes: national COVID-19 cohort in South Korea
Ronald Chow, Jihui Lee, Hyerim Noh, Jongseong Lee, Charles B. Simone, Hyun Joon Shin, Young‐Geun Choi
Annals of Palliative MedicineOA

Pre-hospitalization statin use is not detrimental and may be beneficial amongst hypertensive COVID-19 patients. Further investigation into statin is needed for more conclusive effects of statins for treatment of COVID-19.

Infectious DiseasesMedicine
8
Article|8 citations·2019
High-dimensional Markowitz portfolio optimization problem: empirical comparison of covariance matrix estimators
Young‐Geun Choi, Johan Lim, Sujung Choi
SJR Q2Journal of Statistical Computation and Simulation

We compare the performance of recently developed regularized covariance matrix estimators for Markowitz's portfolio optimization and of the minimum variance portfolio (MVP) problem in particular. We focus on seven estimators that are applied to the MVP problem in the literature; three regularize the eigenvalues of the sample covariance matrix, and the other four assume the sparsity of the true covariance matrix or its inverse. Comparisons are made with two sets of long-term S&P 500 stock return

FinanceEconomics, Econometrics and Finance
9
Article|6 citations·2020
Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records
Young‐Geun Choi, Lawrence P. Hanrahan, Derek Norton, Ying‐Qi Zhao
SJR Q1BiometricsOA

Electronic health records (EHRs) have become a platform for data-driven granular-level surveillance in recent years. In this paper, we make use of EHRs for early prevention of childhood obesity. The proposed method simultaneously provides smooth disease mapping and outlier information for obesity prevalence that are useful for raising public awareness and facilitating targeted intervention. More precisely, we consider a penalized multilevel generalized linear model. We decompose regional contrib

EpidemiologyMedicine
10
Article|4 citations·2022
The association between immunosuppressants use and COVID-19 adverse outcomes: national COVID-19 cohort in South Korea
Hyun Joon Shin, Ronald Chow, Hyerim Noh, Jongseong Lee, Jihui Lee, Charles B. Simone, Young‐Geun Choi
Annals of Palliative MedicineOA

Immunosuppressant use was associated with worse outcomes among COVID-19 patients. These findings support the latest guidelines from the CDC that people on immunosuppressants are at high risk of severe COVID-19 and that immunocompromised people may benefit from booster COVID-19 vaccinations.

Infectious DiseasesMedicine
11
Article|3 citations·2023
Model-Based Clustering of Mixed Data With Sparse Dependence
Young‐Geun Choi, Soohyun Ahn, Jayoun Kim
SJR Q1IEEE AccessOA

Mixed data refers to a mixture of continuous and categorical variables. The clustering problem with mixed data is a long-standing statistical problem. The latent Gaussian mixture model, a model-based approach for such a problem, has received attention owing to its simplicity and interpretability. However, these approaches are prone to dimensionality problems. Specifically, parameters must be estimated for each group, and the number of covariance parameters is quadratic in the number of variables

Artificial IntelligenceComputer Science
12
Article|3 citations·2021
An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units
Young‐Geun Choi, Seung-Hwan Lee, Donghyeon Yu
SJR Q2Computational Statistics
Statistics and ProbabilityMathematics
13
Article|3 citations·2022
The prognostic role of anticoagulants in COVID-19 patients: national COVID-19 cohort in South Korea
Hyerim Noh, Jongseong Lee, Ronald Chow, Jihui Lee, Charles B. Simone, Hyun Joon Shin, Young‐Geun Choi
Annals of Palliative MedicineOA

Pre-admission anticoagulants were not determined to have a protective role against severe COVID-19 outcomes.

Infectious DiseasesMedicine
14
Article|3 citations·2023
Semi-parametric contextual bandits with graph-Laplacian regularization
Young‐Geun Choi, Gi-Soo Kim, Seunghoon Paik, Myunghee Cho Paik
SJR Q1Information Sciences
Management Science and Operations ResearchDecision Sciences
15
Article|2 citations·2016
Regularized LRT for large scale covariance matrices: One sample problem
Young‐Geun Choi, Chi Tim Ng, Johan Lim
SJR Q2Journal of Statistical Planning and InferenceOA
Statistics and ProbabilityMathematics

Research Areas

Infectious DiseasesStatistics and ProbabilityPathology and Forensic MedicineComputer Vision and Pattern RecognitionImmunologySurgery

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