Beomseok Sohn (B Sohn)

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 26

Top Topics

Magnetic Resonance Imaging

Squamous Cell Carcinoma

Top Venues

European radiology

Yonsei medical journal

Korean journal of radiology

AJNR. American journal of neuroradiology

This page only lists publications with an associated author ORCID identifier.

Publications

JoonNyung Heo, Beomseok Sohn
Prediction of hemorrhagic transformation in acute ischemic stroke: a never-ending endeavor. European radiology (2024)
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
Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization. European radiology (2024)
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
Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization. European radiology 34 (9) (2024)
So Yeon Won, Ilah Shin, Eung Yeop Kim, Seung-Koo Lee, Youngno Yoon, Beomseok Sohn
Development and Multicenter, Multiprotocol Validation of Neural Network for Aberrant Right Subclavian Artery Detection. Yonsei medical journal 65 (9) (2024)
So Yeon Won, Ilah Shin, Eung Yeop Kim, Seung-Koo Lee, Youngno Yoon, Beomseok Sohn
Development and Multicenter, Multiprotocol Validation of Neural Network for Aberrant Right Subclavian Artery Detection. Yonsei medical journal 65 (9) (2024)
Yongsik Sim, Beomseok Sohn, Sooyon Kim, Hye Ryun Kim, Min Hee Hong, Jinna Kim, Seung-Koo Lee, Sun Min Lim
Radiomics and PD-L1 expression predict immunotherapy benefits in patients with head and neck squamous cell carcinoma. Future oncology (London, England) (2024)
JoonNyung Heo, Beomseok Sohn
Prediction of hemorrhagic transformation in acute ischemic stroke: a never-ending endeavor. European radiology 34 (8) (2024)
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
Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization. European radiology 34 (9) (2024)
So Yeon Won, Ilah Shin, Eung Yeop Kim, Seung-Koo Lee, Youngno Yoon, Beomseok Sohn
Development and Multicenter, Multiprotocol Validation of Neural Network for Aberrant Right Subclavian Artery Detection. Yonsei medical journal 65 (9) (2024)
JoonNyung Heo, Beomseok Sohn
Prediction of hemorrhagic transformation in acute ischemic stroke: a never-ending endeavor. European radiology 34 (8) (2024)
So Yeon Won, Ilah Shin, Eung Yeop Kim, Seung-Koo Lee, Youngno Yoon, Beomseok Sohn
Development and Multicenter, Multiprotocol Validation of Neural Network for Aberrant Right Subclavian Artery Detection. Yonsei medical journal 65 (9) (2024)
Kyung Min Kim, Heewon Hwang, Beomseok Sohn
Response to "Radiomic Models for Diagnosing Juvenile Myoclonic Epilepsy Should Note Its Genetic Heterogeneity". Korean journal of radiology 24 (2) (2023)
Yongsik Sim, Seung-Koo Lee, Min Kyung Chu, Won-Joo Kim, Kyoung Heo, Kyung Min Kim, Beomseok Sohn
MRI-Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy from Epilepsy with Generalized Tonic-Clonic Seizures Alone. Journal of magnetic resonance imaging : JMRI (2023)
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
Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype. Journal of neuro-oncology (2023)
Jeong Eun Shin, Beomseok Sohn
Term equivalent age brain MRI of preterm newborns: gathering the pieces for prognostication. European radiology 33 (10) (2023)
Minjae Kim, Kai Tzu-Iunn 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, Beomseok Sohn
Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports. European radiology (2023)
Yongsik Sim, Minjae Kim, Jinna Kim, Seung-Koo Lee, Kyunghwa Han, Beomseok Sohn
Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques. European radiology (2023)
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
Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT. European radiology (2023)
Kyung Min Kim, Heewon Hwang, Beomseok Sohn
Response to "Radiomic Models for Diagnosing Juvenile Myoclonic Epilepsy Should Note Its Genetic Heterogeneity". Korean journal of radiology 24 (2) (2023)
Kwan Hyeong Jo, Jinna Kim, Hojin Cho, Won Jun Kang, Seung-Koo Lee, Beomseok Sohn
18 F-FDG PET/CT Parameters Enhance MRI Radiomics for Predicting Human Papilloma Virus Status in Oropharyngeal Squamous Cell Carcinoma. Yonsei medical journal 64 (12) (2023)
Kyung Min Kim, Heewon Hwang, Beomseok Sohn
Response to "Radiomic Models for Diagnosing Juvenile Myoclonic Epilepsy Should Note Its Genetic Heterogeneity". Korean journal of radiology 24 (2) (2023)
Taeyoun Lee, Kyungchul Song, Beomseok Sohn, Jihwan Eom, Sung Soo Ahn, Ho Seong Kim, Seung-Koo Lee
A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI. Yonsei medical journal 63 (9) (2022)
Ilah Shin, Hwiyoung Kim, Sung Soo Ahn, Beomseok Sohn, Sohi Bae, Jie Eun Park, Ho Sung Kim, Seung-Koo Lee
Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images. AJNR. American journal of neuroradiology 42 (5) (2021)
Beomseok Sohn, Keun Young Park, J Choi, J H Koo, Kyung Hwa Han, Bio Joo, So Yeon Won, Jihoon Cha, Hyun Seok Choi, Seung-Koo Lee
Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA. AJNR. American journal of neuroradiology 42 (10) (2021)
Bio Joo, Hyun Seok Choi, Sung Soo Ahn, Jihoon Cha, So Yeon Won, Beomseok Sohn, Hwiyoung Kim, Kyung Hwa Han, Hwa Pyung Kim, Jong Mun Choi, Sang Min Lee, Tae Gyu Kim, Seung-Koo Lee
A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm. Yonsei medical journal 62 (11) (2021)
Sohi Bae, Yoon Seong Choi, Beomseok Sohn, Sung Soo Ahn, Seung-Koo Lee, Jaemoon Yang, Jinna Kim
Squamous Cell Carcinoma and Lymphoma of the Oropharynx: Differentiation Using a Radiomics Approach. Yonsei medical journal 61 (10) (2020)
Beomseok Sohn, Myung Joon Kim, Sang Won Han, Young Jae Im, Mi-Jung Lee
Shear wave velocity measurements using acoustic radiation force impulse in young children with normal kidneys versus hydronephrotic kidneys. Ultrasonography (Seoul, Korea) 33 (2) (2014)