Skip to main content

Woo Young Kang

Korea University · 医学

研究室紹介

Professor Woo Young Kang's research lab specializes in medical imaging and geriatric health, focusing on the application of artificial intelligence—particularly deep learning—in diagnostic imaging for aging populations and musculoskeletal disorders. The lab conducts population-based studies on frailty and geriatric syndromes in rural communities, while also advancing automated, AI-driven quantitative imaging techniques such as deep learning-based bone mineral density (BMD) measurement from routine CT scans. Their work bridges clinical geriatrics with cutting-edge medical image analysis, aiming to improve early detection of osteoporosis and spinal conditions through non-invasive, opportunistic screening methods. The lab also explores smart materials and structural actuation using piezoelectric polymers, demonstrating interdisciplinary innovation in biomedical engineering.

deep learningosteoporosis screeninggeriatric assessmentquantitative CTmedical imaging

Research Overview

Papers
35
Total Citations
343
Papers (5y)
20
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
20total
2020
2022
2023
2024
2025
Citations per year (5y)
125total
20202022202320242025

Selected Papers

15
1
Article|132 citations·2016
Prevalence of Frailty and Aging-Related Health Conditions in Older Koreans in Rural Communities: a Cross-Sectional Analysis of the Aging Study of Pyeongchang Rural Area
Hee‐Won Jung, Il‐Young Jang, Young Soo Lee, Chang Ki Lee, Eun-Il Cho, Woo Young Kang, Jeoung Hee Chae, Eun‐Ju Lee, Dae Hyun Kim
SJR Q2Journal of Korean Medical ScienceOA

Frailty has been previously studied in Western countries and the urban Korean population; however, the burden of frailty and geriatric conditions in the aging populations of rural Korean communities had not yet been determined. Thus, we established a population-based prospective study of adults aged ≥ 65 years residing in rural communities of Korea between October 2014 and December 2014. All participants underwent comprehensive geriatric assessment that encompassed the assessment of cognitive an

Geriatrics and GerontologyMedicine
2
Article|36 citations·2024
Evaluation of deep learning-based quantitative computed tomography for opportunistic osteoporosis screening
Sangseok Oh, Woo Young Kang, Heejun Park, Zepa Yang, Jemyoung Lee, Chang-Won Kim, Ok Hee Woo, Suk‐Joo Hong
SJR Q1Scientific ReportsOA

To evaluate diagnostic efficacy of deep learning (DL)-based automated bone mineral density (BMD) measurement for opportunistic screening of osteoporosis with routine computed tomography (CT) scans. A DL-based automated quantitative computed tomography (DL-QCT) solution was evaluated with 112 routine clinical CT scans from 84 patients who underwent either chest (N:39), lumbar spine (N:34), or abdominal CT (N:39) scan. The automated BMD measurements (DL-BMD) on L1 and L2 vertebral bodies from DL-Q

Orthopedics and Sports MedicineMedicine
3
Article|23 citations·2024
Automated deep learning-based bone mineral density assessment for opportunistic osteoporosis screening using various CT protocols with multi-vendor scanners
Heejun Park, Woo Young Kang, Ok Hee Woo, Jemyoung Lee, Zepa Yang, Sangseok Oh
SJR Q1Scientific ReportsOA

This retrospective study examined the diagnostic efficacy of automated deep learning-based bone mineral density (DL-BMD) measurements for osteoporosis screening using 422 CT datasets from four vendors in two medical centers, encompassing 159 chest, 156 abdominal, and 107 lumbar spine datasets. DL-BMD values on L1 and L2 vertebral bodies were compared with manual BMD (m-BMD) measurements using Pearson's correlation and intraclass correlation coefficients. Strong agreement was found between m-BMD

Radiology, Nuclear Medicine and ImagingMedicine
4
Article|20 citations·2017
Comparison of MRI grading for cervical neural foraminal stenosis based on axial and oblique sagittal images: Concordance and reliability study
Wooil Kim, Kyung‐Sik Ahn, Chang Ho Kang, Woo Young Kang, Kyung‐Sook Yang
SJR Q2Clinical Imaging
Biomedical EngineeringEngineering
5
Article|19 citations·2019
Systemic effects of fluoroscopically guided epidural steroid injection with dexamethasone
Woo Young Kang, Joon Woo Lee, Eugene Lee, Yusuhn Kang, Joong Mo Ahn, Heung Sik Kang
SJR Q1The Korean journal of painOA

Approximately 4.8% of the patients who underwent ESI with dexamethasone experienced minor and transient systemic effects. These effects were more common in patients who had undergone a previous spine surgery or received a cervical ESI.

Pathology and Forensic MedicineMedicine
6
Article|19 citations·2022
Diagnostic performance of electron-density dual-energy CT in detection of cervical disc herniation in comparison with standard gray-scale CT and virtual non-calcium images
Euddeum Shim, Baek Hyun Kim, Woo Young Kang, Suk‐Joo Hong, Chang Ho Kang, Kyung‐Sik Ahn, Hyeonbin Lee, Thomas J. Kwack
SJR Q1European RadiologyOA
Biomedical EngineeringEngineering
7
Article|15 citations·1995
Elastic Tailoring of Laminated Composite Plate by Anisotropic Piezoelectric Polymers-Theory, Computation, and Experiment
Jeoung Yoel Yu, Woo Young Kang, Seung Jo Kim
SJR Q2Journal of Composite Materials

Using the fact that polyvinylidene fluoride polymer (PVDF) has the anisotropic property, the experimental and numerical investigations were performed to study the static behavior of lasted composite plate when the PVDF was used as a continuous actuator. In this way, it was confirmed that not only the directionality of the composite material, but also the directionality of the PVDF could influence the deformation of the structure. With combination of the different layer angles of both composite a

Aerospace EngineeringEngineering
8
Article|15 citations·2018
Efficacy and outcome predictors of fluoroscopy-guided facet joint injection for spondylolysis
Woo Young Kang, Joon Woo Lee, Eugene Lee, Yusuhn Kang, Joong Mo Ahn, Heung Sik Kang
SJR Q2Skeletal Radiology
Pathology and Forensic MedicineMedicine
9
Article|11 citations·2024
Electron density dual-energy CT can improve the detection of lumbar disc herniation with higher image quality than standard and virtual non-calcium images
Juhyun Jeong, Sungwon Ham, Euddeum Shim, Baek Hyun Kim, Woo Young Kang, Chang Ho Kang, Kyung‐Sik Ahn, Kyu-Chong Lee, Hangseok Choi
SJR Q1European Radiology
Biomedical EngineeringEngineering
10
Article|10 citations·2020
Langerhans Cell Histiocytosis of the Rib of an Adult Female Patient: a Case Report
Chang Hoon Oh, Woo Young Kang, Ok-Jun Lee
SJR Q4Investigative Magnetic Resonance ImagingOA
PhysiologyMedicine
11
Article|8 citations·2016
Is multidetector computed tomography comparable to magnetic resonance imaging for assessment of lumbar foraminal stenosis?
Woo Young Kang, Joong Mo Ahn, Joon Woo Lee, Eugene Lee, Yun Jung Bae, Jiwoon Seo, Junghoon Kim, Heung Sik Kang
SJR Q3Acta Radiologica

Background Both multidetector computed tomography (MDCT) and magnetic resonance imaging (MRI) are used for assessment of lumbar foraminal stenosis (LFS). Therefore, it is relevant to assess agreement between these imaging modalities. Purpose To determine intermodality, inter-, and intra-observer agreement for assessment of LFS on MDCT and MRI. Material and Methods A total of 120 foramina in 20 patients who visited our institution in January and February 2014 were evaluated by six radiologists wi

Pathology and Forensic MedicineMedicine
12
Article|7 citations·2022
Difference between bone age at the hand and elbow at the onset of puberty
Woo Young Jang, Kyung‐Sik Ahn, Saelin Oh, Ji Eun Lee, Jimi Choi, Chang Ho Kang, Woo Young Kang, Suk‐Joo Hong, Euddeum Shim, Baek Hyun Kim, Bo‐Kyung Je, Hae Woon Jung
SJR Q3MedicineOA

ABSTRACT: In the pubertal period, bone age advances rapidly in conjunction with growth spurts. Precise bone-age assessments in this period are important, but results from the hand and elbow can be different. We aimed to compare the bone age between the hand and elbow around puberty onset and to elucidate the chronological age confirming puberty onset according to elbow-based bone age.A total of 211 peripubertal subjects (127 boys and 84 girls) who underwent hand and elbow radiographs within 2 mo

RehabilitationMedicine
13
Article|4 citations·2024
Improved Detection Accuracy of Chronic Vertebral Compression Fractures by Integrating Height Loss Ratio and Deep Learning Approaches
Jemyoung Lee, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, Jong Hyo Kim
SJR Q2DiagnosticsOA

OBJECTIVES: This study aims to assess the limitations of the height loss ratio (HLR) method and introduce a new approach that integrates a deep learning (DL) model to enhance vertebral compression fracture (VCF) detection performance. METHODS: We conducted a retrospective study on 589 patients with chronic VCFs. We compared four different methods: HLR-only, DL-only, a combination of HLR and DL for positive VCF, and a combination of HLR and DL for negative VCF. The models were evaluated using dic

Biomedical EngineeringEngineering
14
Article|4 citations·2015
Acute benign vertebral compression fractures: “see-through sign” on contrast-enhanced MR images
Eugene Lee, Joon Woo Lee, Jinyoung Lee, Guen Young Lee, Woo Young Kang, Bo Reum Yoo, Yoon Joo Shin, Joong Mo Ahn, Heung Sik Kang, Joong Mo Ahn, Heung Sik Kang
SJR Q1European Spine Journal
SurgeryMedicine
15
Article|4 citations·2024
Automated Opportunistic Osteoporosis Screening Using Low-Dose Chest CT among Individuals Undergoing Lung Cancer Screening in a Korean Population
Woo Young Kang, Zepa Yang, Heejun Park, Jemyoung Lee, Suk‐Joo Hong, Euddeum Shim, Ok Hee Woo
SJR Q2DiagnosticsOA

Opportunistic osteoporosis screening using deep learning (DL) analysis of low-dose chest CT (LDCT) scans is a potentially promising approach for the early diagnosis of this condition. We explored bone mineral density (BMD) profiles across all adult ages and prevalence of osteoporosis using LDCT with DL in a Korean population. This retrospective study included 1915 participants from two hospitals who underwent LDCT during general health checkups between 2018 and 2021. Trabecular volumetric BMD of

Radiology, Nuclear Medicine and ImagingMedicine

Research Areas

RheumatologyBiomedical EngineeringSurgeryOrthopedics and Sports MedicineRadiology, Nuclear Medicine and ImagingPathology and Forensic Medicine

Woo Young Kangの研究をNubintでさらに深く

この研究室の論文をアプリで開き、AIと共に読み、要約し、引用しましょう。