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Ho Jin Kim

Yonsei University · Medicine

About the Lab

Professor Ho Jin Kim's research lab specializes in advanced materials and structural engineering, with a focus on improving the durability and performance of concrete structures under extreme dynamic loads such as explosions. The lab develops high-fidelity physics-based finite element analysis methods using explicit dynamics codes like LS-DYNA to accurately model material behavior under high strain rates, particularly for fiber-reinforced concrete and corrosion-affected reinforced concrete. Additionally, the lab contributes to clinical neuroscience by validating biomarkers like the kappa free light chain index for neurological disorders such as multiple sclerosis, neuromyelitis optica spectrum disorder, and MOG antibody-associated disease in Asian populations.

high-fidelity analysisconcrete structuresdynamic loadingneuromyelitis opticabiomarker validation

Research Overview

Papers
10
Total Citations
226
Papers (5y)
9
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
9total
2007
2020
2023
2025
2026
Citations per year (5y)
225total
20072020202320252026

Selected Papers

10
1
Article|191 citations·2023
Ravulizumab in Aquaporin‐4–Positive Neuromyelitis Optica Spectrum Disorder
Sean J. Pittock, Michael Barnett, Jeffrey L. Bennett, Achim Berthele, de Sèze, Michael Levy, Ichiro Nakashima, Celia Oreja‐Guevara, Jacqueline Palace, Friedemann Paul, Carlo Pozzilli, Marcus Yountz
SJR Q1Annals of NeurologyOA

OBJECTIVE: CHAMPION-NMOSD (NCT04201262) is a phase 3, open-label, externally controlled interventional study evaluating the efficacy and safety of the terminal complement inhibitor ravulizumab in adult patients with anti-aquaporin-4 antibody-positive (AQP4+) neuromyelitis optica spectrum disorder (NMOSD). Ravulizumab binds the same complement component 5 epitope as the approved therapeutic eculizumab but has a longer half-life, enabling an extended dosing interval (8 vs 2 weeks). METHODS: The av

Pathology and Forensic MedicineMedicine
2
Article|16 citations·2007
폭발하중을 받는 콘크리트 벽체 구조물의 보강성능에 대한 해석적 분석
김호진, 남진원, 김성배, 김장호, 변근주

폭발하중을 받는 콘크리트 구조물을 섬유복합재 등의 보강재료를 사용하여 보강하는 경우에는 강성 증가와 함께 적절한 연성을 확보할 수 있어야 한다. 그러나, 폭발하중을 받는 구조물의 설계 및 해석에 일반적으로 사용되는 기존의 근사적이며 단순화 모델은 보강재료에 대한 효과를 정확히 반영할 수 없을 뿐 아니라 해석결과의 정확성 및 신뢰성에 문제가 제기되어왔다. 또한, 동적하중에 대한 콘크리트와 철근의 응답은 정적하중에 대한 응답과 상이하기 때문에 기존의 정적, 준정적하에서 정의된 재료물성값들을 폭발하중에 대한 응답계산에 사용하는 것은 부적절하다. 따라서, 본 연구에서는 명시적(explicit) 해석프로그램인 LS-DYNA를 사용하여 매우 빠른 재하속도를 갖는 폭발하중에 대하여 강도증진 및 변형률 속도 효과가 반영된 재료모델을 포함하고 있는 정밀 HFPB(high fidelity physics based) 유한요소 해석기법을 제시하였다. 제시된 해석적 기법을 통하여 탄소섬유복합재와 유리섬유복

3
Article|8 citations·2023
Serum neurofilament and glial fibrillary acidic protein in idiopathic and seropositive transverse myelitis
Hye Lim Lee, Jin Myoung Seok, Yeon Hak Chung, Ju‐Hong Min, Seol‐Hee Baek, Sung‐Min Kim, Eun Hee Sohn, Juhyeon Kim, Sa‐Yoon Kang, Yoon‐Ho Hong, Ha Young Shin, Joong‐Yang Cho
SJR Q1Multiple Sclerosis and Related Disorders
Cellular and Molecular NeuroscienceNeuroscience
4
Article|7 citations·2007
폭발하중을 받는 콘크리트 벽체구조의 HFPB 해석
남진원, 김호진, 변근주, 김성배

폭발하중은 매우 빠른 시간 내에 구조물에 큰 압력으로 작용하는 하중이므로 변형률 속도와 구조물의 국부적인 손상을 고려하여 동적응답을 평가해야한다. 그러나 폭발하중을 받는 구조물의 설계 및 해석에 일반적으로 사용되고 있는 기존의 근사적 해석기법은 폭발하중에 대한 경계조건과 동적재료특성을 정확하게 반영하지 못할 뿐 아니라 폭발하중을 받는 구조물이 나타내는 국부적인 거동을 나타내지 못한다. 또한 근사적 해석기법 결과의 정확도와 신뢰성에 대한 문제는 꾸준히 지적되어오고 있다. 게다가 동적하중에 대한 콘크리트와 철근의 응답은 정적하중에 대한 응답과 상이하므로 폭발하중에 대한 응답을 계산하는데 있어 정적하중이나 준정적하중상태로 정의되는 재료 모델을 사용하는 것은 적합하지 않다. 따라서, 본 연구에서는 폭발하중에 대한 콘크리트 구조물의 동적거동을 예측하기 위해 물리적 현상에 충실하는 정밀해석 방법인 HFPB(high fidelity physics based) 해석방법을 사용하였다. HFPB 해석

5
Article|3 citations·2025
Optimizing kappa free light chain index thresholds for multiple sclerosis (MS) diagnosis in low-MS prevalence regions: Insights from an Asian cohort
Su-Hyun Kim, You-Ri Kang, Jieun Chung, Minji Joo, Rosah May Palermo Payumo, Ki Hoon Kim, Jae-Won Hyun, Ho Jin Kim
SJR Q1Multiple Sclerosis Journal

BACKGROUND: The kappa free light chain (KFLC) index is a quantitative marker of intrathecal immunoglobulin synthesis with diagnostic performance comparable to cerebrospinal fluid (CSF)-restricted oligoclonal bands (OCBs). Its utility in Asian populations, where multiple sclerosis (MS) is less prevalent and mimics such as neuromyelitis optica spectrum disorder (NMOSD) and MOG antibody-associated disease (MOGAD) are common, remains underexplored. OBJECTIVES: We aimed to validate the KFLC index and

Pathology and Forensic MedicineMedicine
6
Article|1 citations·2005
A Micro-Mechanics Based Corrosion Model for the Prediction of Service Life in Reinforced Concrete Structures
변근주, 송하원, 김호진, Tae-Hwan Kim, Seung-Hoon Lee

Reinforcing steel bars in reinforced concrete structures are protected from corrosion by passive film on the steel surface inside concrete with high alkalinity. However, when the passive film breaks down due to chloride ion ingressed into the RC structures, a corrosion initiates at the surface of steel bars. Then, internal pressure by volume expansion of corrosion products in reinforcing bars induces cracking and spalling of cover concrete, which reduces not only durability performance but also

8
Article|0 citations·2026
Disability and Relapse Risk in Late-Onset Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease
Hyunjin Ju, Ki Hoon Kim, Sook Young Woo, Yeon Hak Chung, Ho Jin Kim, Hyunjin Kim, Eun‐Jae Lee, Young-Min Lim, Woohee Ju, Sung-Min Kim, Young Nam Kwon, Seung Woo Kim
SJR Q1JAMA Network OpenOA

Importance: The impact of late onset in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is still controversial. Objective: To investigate the association of late onset MOGAD with moderate disability and relapse in Korean patients. Design, Setting, and Participants: This nationwide, multicenter, retrospective cohort study included adult patients with a diagnosis of MOGAD according to the 2023 international diagnostic criteria between August 2018 and September 2024 across 2

Pathology and Forensic MedicineMedicine
9
Article|0 citations·2020
History of the Photon Beam Dose Calculation Algorithm in Radiation Treatment Planning System
김동욱, 박광우, 김호진, 김진성
http://www.progmedphys.org/journal/view.html?uid=868&sort=book_Seq&scale=&key=year&keyword=&s_v=31&s_n=3&pn=vol&year=2020&vmd=Full

Dose calculation algorithms play an important role in radiation therapy and are even the basis for optimizing treatment plans, an important feature in the development of complex treatment technologies such as intensity-modulated radiation therapy. We reviewed the past and current status of dose calculation algorithms used in the treatment planning system for radiation therapy. The radiation-calculating dose calculation algorithm can be broadly classified into three main groups based on the mecha

10
Article|0 citations·2025
Enhancing Brain Metastases Detection and Segmentation in Black-Blood MRI Using Deep Learning and Segment Anything Model (SAM)
유상균, 김태형, 김진성, 안성수, 김의현, 성원모, 김호진, 윤홍인
https://www.eymj.org/DOIx.php?id=10.3349/ymj.2024.0198

Purpose: Black-blood (BB) magnetic resonance images (MRI) offer superior image contrast for the detection and segmentation of brain metastases (BMs). This study investigated the efficacy and accuracy of deep learning (DL) architectures and post-processing for BMs detection and segmentation with BB images. Materials and Methods: The BB images of 50 patients were collect to train (40) and test (10) the DL model. To ensure consistency, we implemented piecewise linear histogram matching for intensit

Research Areas

Pathology and Forensic MedicineCellular and Molecular Neuroscience

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