삼성서울병원

Ko En

영상의학과 손범석 교수

진료분야
진료일정 10 月
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오전
오후
진료일정 11 月
날짜
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오후

학력

학력
2023.08 연세대학교 의학과 박사
2014.02 연세대학교 의학과 석사
2010.02 연세대학교 의학과 학사

경력

경력
2024.03 ~현재 삼성서울병원 전임대우조교수
2023.03 ~ 2024.02 삼성서울병원 진료조교수
2020.03 ~ 2023.02 세브란스병원 임상조교수
2019.03 ~ 2020.02 홍익병원 영상의학과 과장
2018.05 ~ 2019.02 세브란스병원 강사
2011.03 ~ 2015.02 세브란스병원 레지던트
2010.03 ~ 2011.02 세브란스병원 인턴

학회활동

학회활동
대한신경두경부영상의학회 정회원
대한영상의학회 정회원
대한자기공명의과학회 정회원
2023.05 ~ 현재 대한신경두경부영상의학회 총무간사

수상이력

수상이력
2024.03 European Radiology - Reviewer of The Year 2023
2024.02 삼성서울병원 영상의학과 Best Researcher of The Year 2023
  • YONSEI MED J 2024 10.3349/ymj.2023.0590 Development and Multicenter, Multiprotocol Validation of Neural Network for Aberrant Right Subclavian Artery Detection Won, SY; Shin, I; Kim, EY; Lee, SK; Yoon, Y; Sohn, B
    View PubMed
  • NMR BIOMED 2024 10.1002/nbm.5226 A human brain atlas of χ-separation for normative iron and myelin distributions Min, K; Sohn, B; Kim, WJ; Park, CJ; Song, S; Shin, DH; Chang, KW; Shin, NY; Kim, M; Shin, HG; Lee, PH; Lee, J
    View PubMed
  • FUTURE ONCOL 2024 10.1080/14796694.2024.2342226 Radiomics and PD-L1 expression predict immunotherapy benefits in patients with head and neck squamous cell carcinoma Sim, Y; Sohn, B; Kim, S; Kim, HR; Hong, MH; Kim, J; Lee, SK; Lim, SM
    View PubMed
  • EUR RADIOL 2024 10.1007/s00330-024-10618-6 Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization Heo, J; Sim, Y; Kim, BM; Kim, DJ; Kim, YD; Nam, HS; Choi, YS; Lee, SK; Kim, EY; Sohn, B
    View PubMed
  • EUR RADIOL 2024 10.1007/s00330-024-10582-1 Prediction of hemorrhagic transformation in acute ischemic stroke: a never-ending endeavor Heo, J; Sohn, B
    View PubMed
  • YONSEI MED J 2023 10.3349/ymj.2023.0187 18F-FDG PET/CT Parameters Enhance MRI Radiomics for Predicting Human Papilloma Virus Status in Oropharyngeal Squamous Cell Carcinoma Jo, KH; Kim, J; Cho, H; Kang, WJ; Lee, SK; Sohn, B
    View PubMed
  • EUR RADIOL 2023 10.1007/s00330-023-10432-6 Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT Heo, J; Yoon, Y; Han, HJ; Kim, JJ; Park, KY; Kim, BM; Kim, DJ; Kim, YD; Nam, HS; Lee, SK; Sohn, B
    View PubMed
  • EUR RADIOL 2023 10.1007/s00330-023-10338-3 Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques Sim, Y; Kim, M; Kim, J; Lee, SK; Han, K; Sohn, B
    View PubMed
  • J MAGN RESON IMAGING 2023 10.1002/jmri.29024 MRI-Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy from Epilepsy with Generalized Tonic-Clonic Seizures Alone Sim, Y; Lee, SK; Chu, MK; Kim, WJ; Heo, K; Kim, KM; Sohn, B
    View PubMed
  • EUR RADIOL 2023 10.1007/s00330-023-09885-6 Term equivalent age brain MRI of preterm newborns: gathering the pieces for prognostication Shin, JE; Sohn, B
    View PubMed
  • J NEURO-ONCOL 2023 10.1007/s11060-023-04435-y Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype Sohn, B; Park, K; Ahn, SS; Park, YW; Choi, SH; Kang, SG; Kim, SH; Chang, JH; Lee, SK
    View PubMed
  • EUR RADIOL 2023 10.1007/s00330-023-10061 Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports Kim, M; Ong, KTI; Choi, S; Yeo, J; Kim, S; Han, K; Park, JE; Kim, HS; Choi, YS; Ahn, SS; Kim, J; Lee, SK; Sohn, B
    View PubMed

해당하는 결과가 없습니다.