Skip to main content

손범석 교수

Beomseok Son

성균관대학교 의학과 · 의학

연구실 소개

손범석 교수의 연구실은 의료 영상 기반 정밀의료를 핵심 목표로 하며, 특히 초음파, MRI, CT 등 다양한 영상 데이터를 활용한 레이디오믹스 기반 질병 진단 및 예후 예측 모델을 개발하고 있습니다. 신장, 간질환, 뇌신경종양, 구강암 등 다양한 종양 및 신경질환에서 영상 특징을 정량화하고, 분자유전자 정보와 연계한 다변량 예측 모델을 구축함으로써 개인화된 의료에 기여하고자 합니다. 특히 소프트웨어 기반 영상 보조 진단 도구의 임상적 유용성과 정확도 향상에 대한 연구도 활발히 진행 중입니다.

레이디오믹스의료 영상뇌신경종양암 진단개인화된 의료

연구 현황

논문 수
72
총 인용 수
772
최근 5년 논문
55
주요 분야
의학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
55총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
242총합
20222023202420252026

주요 논문

15
1
논문|인용수 146·2014
MRI-detected extramural vascular invasion is an independent prognostic factor for synchronous metastasis in patients with rectal cancer
Beomseok Sohn, Joon Seok Lim, Honsoul Kim, Sungmin Myoung, Junjeong Choi, Nam Kyu Kim, Myeong‐Jin Kim
SJR Q1European RadiologyOA
OncologyMedicine
2
논문|인용수 58·2014
Shear wave velocity measurements using acoustic radiation force impulse in young children with normal kidneys versus hydronephrotic kidneys
Beomseok Sohn, Myung‐Joon Kim, Sang Won Han, Young Jae Im, Mi‐Jung Lee
SJR Q1ULTRASONOGRAPHYOA

Obtaining ARFI measurements of the kidney is feasible in young children with median SWVs of 1.75 m/sec in normal kidneys. Median SWVs increased in high-grade hydronephrotic kidneys but were not different between hydronephrotic kidneys with and without UPJO.

Radiology, Nuclear Medicine and ImagingMedicine
3
논문|인용수 39·2020
Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI
Beomseok Sohn, Yoon Seong Choi, Sung Soo Ahn, Hwiyoung Kim, Kyunghwa Han, Seung‐Koo Lee, Jinna Kim
SJR Q1The LaryngoscopeOA

OBJECTIVES: To investigate whether a radiomic MRI feature-based prediction model can differentiate oropharyngeal squamous cell carcinoma (SCC) according to the human papillomavirus (HPV) status. STUDY DESIGN: Retrospective cohort study. METHODS: Pretreatment MRI data from 62 consecutive patients with oropharyngeal SCC were retrospectively reviewed, and chronologically allocated to training (n = 43) and test sets (n = 19). Enhancing tumors were semi-automatically segmented on each slice of the po

Radiology, Nuclear Medicine and ImagingMedicine
4
논문|인용수 28·2021
Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant
Beomseok Sohn, Chansik An, Dain Kim, Sung Soo Ahn, Kyunghwa Han, Se Hoon Kim, Seok‐Gu Kang, Jong Hee Chang, Seung‐Koo Lee
SJR Q1Journal of Neuro-OncologyOA

PURPOSE: In glioma, molecular alterations are closely associated with disease prognosis. This study aimed to develop a radiomics-based multiple gene prediction model incorporating mutual information of each genetic alteration in glioblastoma and grade 4 astrocytoma, IDH-mutant. METHODS: From December 2014 through January 2020, we enrolled 418 patients with pathologically confirmed glioblastoma (based on the 2016 WHO classification). All selected patients had preoperative MRI and isocitrate dehyd

GeneticsMedicine
5
논문|인용수 28·2024
Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization
JoonNyung Heo, Yongsik Sim, Byung Moon Kim, Dong Joon Kim, Young Dae Kim, Hyo Suk Nam, Yoon Seong Choi, Seung‐Koo Lee, Eung Yeop Kim, Beomseok Sohn
SJR Q1European Radiology
Radiology, Nuclear Medicine and ImagingMedicine
6
논문|인용수 26·2021
Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA
Beomseok Sohn, Keun Young Park, Joung-Woo Choi, Ja Ho Koo, Kyunghwa Han, Bio Joo, So Yeon Won, Jihoon Cha, Hyun Seok Choi, Seung‐Koo Lee
SJR Q1American Journal of NeuroradiologyOA

Software-aided reading showed significant incremental value in the sensitivity of clinicians in the detection of aneurysms on MRA without a significant increase in false-positive findings, especially for the neurosurgeon and neurologist. Software-aided reading showed equivocal value for the radiologist.

NeurologyMedicine
7
논문|인용수 20·2015
Is there an additive value of 18 F-FDG PET-CT to CT/MRI for detecting nodal metastasis in oropharyngeal squamous cell carcinoma patients with palpably negative neck?
Beomseok Sohn, Yoon Woo Koh, Won Jun Kang, Jae Hoon Lee, Na-Young Shin, Jinna Kim
SJR Q3Acta RadiologicaOA

Background Cervical node metastasis is one of the most significant prognostic factors in patients with oropharyngeal squamous cell carcinoma (SCC). There is little information regarding the comparison of histopathologic analysis following neck dissection with imaging results in oropharyngeal SCC. Purpose To investigate the clinical utility of PET-CT compared with computed tomography (CT) or magnetic resonance imaging (MRI) for detecting nodal metastasis in oropharyngeal SCC patients with palpabl

OtorhinolaryngologyMedicine
8
논문|인용수 17·2023
Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT
JoonNyung Heo, Youngno Yoon, Hyun Jin Han, Jung‐Jae Kim, Keun Young Park, Byung Moon Kim, Dong Joon Kim, Young Dae Kim, Hyo Suk Nam, Seung‐Koo Lee, Beomseok Sohn
SJR Q1European Radiology
EpidemiologyMedicine
9
논문|인용수 12·2023
Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports
Minjae Kim, K.T. Ong, Seonah Choi, Jinyoung Yeo, Sooyon Kim, Kyunghwa Han, Ji Eun Park, Ho Sung Kim, Yoon Seong Choi, Sung Soo Ahn, Jinna Kim, Seung‐Koo Lee
SJR Q1European Radiology
Radiology, Nuclear Medicine and ImagingMedicine
10
논문|인용수 11·2014
Intestinal lesions in pediatric Crohn disease: comparative detectability among pulse sequences at MR enterography
Beomseok Sohn, Myung‐Joon Kim, Hong Koh, Kyunghwa Han, Mi‐Jung Lee
SJR Q1Pediatric RadiologyOA
GeneticsBiochemistry, Genetics and Molecular Biology
11
논문|인용수 9·2023
MRI‐Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy from Epilepsy with Generalized Tonic–Clonic Seizures Alone
Yongsik Sim, Seung‐Koo Lee, Min Kyung Chu, Won‐Joo Kim, Kyoung Heo, Kyung Min Kim, Beomseok Sohn
SJR Q1Journal of Magnetic Resonance ImagingOA

BACKGROUND: The clinical presentation of juvenile myoclonic epilepsy (JME) and epilepsy with generalized tonic-clonic seizures alone (GTCA) is similar, and MRI scans are often perceptually normal in both conditions making them challenging to differentiate. PURPOSE: To develop and validate an MRI-based radiomics model to accurately diagnose JME and GTCA, as well as to classify prognostic groups. STUDY TYPE: Retrospective. POPULATION: 164 patients (127 with JME and 37 with GTCA) patients (age 24.0

Psychiatry and Mental healthMedicine
12
논문|인용수 9·2023
Multiparametric MRI–based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques
Yongsik Sim, Minjae Kim, Jinna Kim, Seung‐Koo Lee, Kyunghwa Han, Beomseok Sohn
SJR Q1European Radiology
Radiology, Nuclear Medicine and ImagingMedicine
13
논문|인용수 9·2023
Quality assessment of stroke radiomics studies: Promoting clinical application
Beomseok Sohn, So Yeon Won
SJR Q1European Journal of Radiology
Radiology, Nuclear Medicine and ImagingMedicine
14
논문|인용수 5·2023
Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype
Beomseok Sohn, Ki Sung Park, Sung Soo Ahn, Yae Won Park, Seung Hong Choi, Seok‐Gu Kang, Se Hoon Kim, Jong Hee Chang, Seung‐Koo Lee
SJR Q1Journal of Neuro-Oncology
Radiology, Nuclear Medicine and ImagingMedicine
15
논문|인용수 5·2003
Are Young People in Correctional Institutions Different from Community Students Who Have Never Been Convicted?: Differences in Internalizing and Externalizing Behaviours
Beomseok Sohn
SJR Q1The British Journal of Social Work

By comparing the prevalence of emotional and behaviour health problems among institutionalized juvenile offenders with that amongst a non‐offending sample of adolescents, this study indicates common characteristics of the perceived emotional and behavioural problems, and describes risk factors pertinent to persistent juvenile offending. Familial backgrounds, behavioural and emotional measures were collected through self‐report surveys. Results showed that young people in secure units claimed sig

Sociology and Political ScienceSocial Sciences

대표 연구 분야

Radiology, Nuclear Medicine and ImagingNeurologyArtificial IntelligencePediatrics, Perinatology and Child HealthPulmonary and Respiratory MedicineEpidemiology

손범석 교수의 연구를 Nubint에서 더 깊이 살펴보세요

이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.