Beomseok Sohn

741 total citations
39 papers, 499 citations indexed

About

Beomseok Sohn is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Beomseok Sohn has authored 39 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Neurology. Recurrent topics in Beomseok Sohn's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Head and Neck Cancer Studies (6 papers) and Advanced MRI Techniques and Applications (4 papers). Beomseok Sohn is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Head and Neck Cancer Studies (6 papers) and Advanced MRI Techniques and Applications (4 papers). Beomseok Sohn collaborates with scholars based in South Korea, Singapore and United States. Beomseok Sohn's co-authors include Seung‐Koo Lee, Sung Soo Ahn, Nam Kyu Kim, Myeong‐Jin Kim, Honsoul Kim, Joon Seok Lim, Sungmin Myoung, Kyunghwa Han, Jinna Kim and Sohi Bae and has published in prestigious journals such as NeuroImage, Journal of Medical Internet Research and American Journal of Neuroradiology.

In The Last Decade

Beomseok Sohn

35 papers receiving 493 citations

Peers

Countries citing papers authored by Beomseok Sohn

Since Specialization

Citations

This map shows the geographic impact of Beomseok Sohn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Beomseok Sohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beomseok Sohn more than expected).

Fields of papers citing papers by Beomseok Sohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beomseok Sohn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Beomseok Sohn. The network helps show where Beomseok Sohn may publish in the future.

Co-authorship network of co-authors of Beomseok Sohn

This figure shows the co-authorship network connecting the top 25 collaborators of Beomseok Sohn. A scholar is included among the top collaborators of Beomseok Sohn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beomseok Sohn. Beomseok Sohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Effect of Deep Learning-Based Artificial Intelligence on Radiologists’ Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging 2025 ·Korean Journal of Radiology ·(unknown), (unknown), (unknown), Han Kyu Na, Phil Hyu Lee, Sun‐Young Baek, (unknown), (unknown), Yongsik Sim, Eung Yeop Kim, Sung Tae Kim, Beomseok Sohn	0
2	Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Dong-Jin Kang, (unknown), (unknown), Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dong Ha Lee, Jinyoung Yeo	14
3	Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and Idiopathic Short Stature: Cross-Sectional, Multicenter Study 2024 ·Journal of Medical Internet Research ·Kyungchul Song, Taehoon Ko, Hyun Wook Chae, (unknown), Ho-Seong Kim, Hyun Joo Shin, Jeong‐Ho Kim, Jihoon Na, Chae Jung Park, Beomseok Sohn	1
4	The Inferior Cerebellar Peduncle Sign: A Novel Imaging Marker for Differentiating Multiple System Atrophy Cerebellar Type from Spinocerebellar Ataxia 2024 ·American Journal of Neuroradiology ·(unknown), (unknown), Beomseok Sohn, (unknown), Sung Tae Kim, (unknown), Jinyoung Youn, Eung Yeop Kim	4
5	Need for Transparency and Clinical Interpretability in Hemorrhagic Stroke Artificial Intelligence Research: Promoting Effective Clinical Application 2024 ·Yonsei Medical Journal ·(unknown), Beomseok Sohn, (unknown), Eung Yeop Kim, Sung Tae Kim, (unknown)	1
6	Real-world application of a 3D deep learning model for detecting and localizing cerebral microbleeds 2024 ·Acta Neurochirurgica ·(unknown), (unknown), (unknown), Dong‐Hyun Kim, Keun Young Park, Eung Yeop Kim, Sun‐Young Baek, (unknown), Beomseok Sohn	3
7	A human brain atlas of χ‐separation for normative iron and myelin distributions 2024 ·NMR in Biomedicine ·(unknown), Beomseok Sohn, Woo Jung Kim, Chae Jung Park, (unknown), Dong Hoon Shin, (unknown), Na‐Young Shin, (unknown), Hyeong‐Geol Shin, Phil Hyu Lee, Jongho Lee	3
8	Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization 2024 ·European Radiology ·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	15
9	The influence of pituitary volume on the growth response in growth hormone-treated children with growth hormone deficiency or idiopathic short stature 2023 ·Annals of Pediatric Endocrinology & Metabolism ·(unknown), Beomseok Sohn, Youngha Choi, Kyungchul Song, Junghwan Suh, Ahreum Kwon, Ho-Seong Kim	6
10	Development and Testing of a Machine Learning Model Using¹⁸F-Fluorodeoxyglucose PET/CT-Derived Metabolic Parameters to Classify Human Papillomavirus Status in Oropharyngeal Squamous Carcinoma 2023 ·Korean Journal of Radiology ·(unknown), (unknown), Beomseok Sohn, (unknown), Hojin Cho, Won Jun Kang, Jinna Kim, Seung‐Koo Lee	6
11	¹⁸F-FDG PET/CT Parameters Enhance MRI Radiomics for Predicting Human Papilloma Virus Status in Oropharyngeal Squamous Cell Carcinoma 2023 ·Yonsei Medical Journal ·(unknown), Jinna Kim, Hojin Cho, Won Jun Kang, Seung‐Koo Lee, Beomseok Sohn	1
12	Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports 2023 ·European Radiology ·Minjae Kim, (unknown), (unknown), Jinyoung Yeo, (unknown), Kyunghwa Han, Ji Eun Park, Ho Sung Kim, Yoon Seong Choi, Sung Soo Ahn, Jinna Kim, Seung‐Koo Lee, Beomseok Sohn	7
13	Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype 2023 ·Journal of Neuro-Oncology ·Beomseok Sohn, (unknown), Sung Soo Ahn, Yae Won Park, Seung Hong Choi, Seok‐Gu Kang, Se Hoon Kim, Jong Hee Chang, Seung‐Koo Lee	4
14	Multiparametric MRI–based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques 2023 ·European Radiology ·Yongsik Sim, Minjae Kim, Jinna Kim, Seung‐Koo Lee, Kyunghwa Han, Beomseok Sohn	5
15	A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI 2022 ·Yonsei Medical Journal ·(unknown), Kyungchul Song, Beomseok Sohn, (unknown), Sung Soo Ahn, Ho-Seong Kim, Seung‐Koo Lee	7
16	Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant 2021 ·Journal of Neuro-Oncology ·Beomseok Sohn, Chansik An, (unknown), Sung Soo Ahn, Kyunghwa Han, Se Hoon Kim, Seok‐Gu Kang, Jong Hee Chang, Seung‐Koo Lee	20
17	Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA 2021 ·American Journal of Neuroradiology ·Beomseok Sohn, Keun Young Park, Joung-Woo Choi, (unknown), Kyunghwa Han, Bio Joo, (unknown), Jihoon Cha, Hyun Seok Choi, Seung‐Koo Lee	18
18	Development and Validation of a Deep Learning–Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images 2021 ·American Journal of Neuroradiology ·(unknown), Hwiyoung Kim, Sung Soo Ahn, Beomseok Sohn, Sohi Bae, Ji Eun Park, Ho Sung Kim, Seung‐Koo Lee	42
19	MRI-detected extramural vascular invasion is an independent prognostic factor for synchronous metastasis in patients with rectal cancer 2014 ·European Radiology ·Beomseok Sohn, Joon Seok Lim, Honsoul Kim, Sungmin Myoung, (unknown), Nam Kyu Kim, Myeong‐Jin Kim	106
20	Clinical Usefulness of [18F]FDG PET-CT and CT/MRI for Detecting Nodal Metastasis in Patients with Hypopharyngeal Squamous Cell Carcinoma 2014 ·Annals of Surgical Oncology ·Na-Young Shin, Jae‐Hoon Lee, Won Jun Kang, Yoon Woo Koh, Beomseok Sohn, Jinna Kim	7

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