Sohi Bae
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Explore the profile of Sohi Bae including associated specialties, affiliations and a list of published articles.
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13
Citations
385
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Recent Articles
1.
Yang S, Bae S, Seo J, Cho H, Kim C, Ha J
J Rhinol
. 2024 Dec;
29(2):101-105.
PMID: 39665060
Gossypiboma, an infrequent surgical complication, describes a mass of cotton material inadvertently left in the body cavity after an operation. It is an extremely rare iatrogenic complication of nasal surgery,...
2.
Bae S, Choi Y, Sohn B, Ahn S, Lee S, Yang J, et al.
Yonsei Med J
. 2020 Sep;
61(10):895-900.
PMID: 32975065
The purpose of this study was to evaluate the diagnostic performance of magnetic resonance (MR) radiomics-based machine learning algorithms in differentiating squamous cell carcinoma (SCC) from lymphoma in the oropharynx....
3.
Choi Y, Bae S, Chang J, Kang S, Kim S, Kim J, et al.
Neuro Oncol
. 2020 Jul;
23(2):304-313.
PMID: 32706862
Background: Glioma prognosis depends on isocitrate dehydrogenase (IDH) mutation status. We aimed to predict the IDH status of gliomas from preoperative MR images using a fully automated hybrid approach with...
4.
Bae S, An C, Ahn S, Kim H, Han K, Kim S, et al.
Sci Rep
. 2020 Jul;
10(1):12110.
PMID: 32694637
We evaluated the diagnostic performance and generalizability of traditional machine learning and deep learning models for distinguishing glioblastoma from single brain metastasis using radiomics. The training and external validation cohorts...
5.
Joo B, Ahn S, Yoon P, Bae S, Sohn B, Lee Y, et al.
Eur Radiol
. 2020 Jun;
30(11):5785-5793.
PMID: 32474633
Objectives: To develop a deep learning algorithm for automated detection and localization of intracranial aneurysms on time-of-flight MR angiography and evaluate its diagnostic performance. Methods: In a retrospective and multicenter...
6.
Lee M, Han K, Ahn S, Bae S, Choi Y, Hong J, et al.
J Neurooncol
. 2019 Jan;
142(1):129-138.
PMID: 30604396
Purpose: To determine whether radiological phenotype can improve the predictive performance of the risk model based on molecular subtype and clinical risk factors in anaplastic glioma patients. Methods: This retrospective...
7.
Bae S, Choi Y, Ahn S, Chang J, Kang S, Kim E, et al.
Radiology
. 2018 Oct;
289(3):797-806.
PMID: 30277442
Purpose To investigate whether radiomic features at MRI improve survival prediction in patients with glioblastoma multiforme (GBM) when they are integrated with clinical and genetic profiles. Materials and Methods Data...
8.
Bae S, Lee H, Nam W, Koh Y, Choi E, Kim J
Head Neck
. 2018 Apr;
40(7):1483-1488.
PMID: 29633413
Background: The purpose of this study was to evaluate the feasibility of MR lymphography with interstitial injection of a gadolinium-based contrast agent for identifying sentinel lymph nodes in patients with...
9.
Suh H, Choi Y, Bae S, Ahn S, Chang J, Kang S, et al.
Eur Radiol
. 2018 Apr;
28(9):3832-3839.
PMID: 29626238
Objectives: To evaluate the diagnostic performance of magnetic resonance (MR) radiomics-based machine-learning algorithms in differentiating primary central nervous system lymphoma (PCNSL) from non-necrotic atypical glioblastoma (GBM). Methods: Seventy-seven patients (54...
10.
Bae S, Ahn S, Chang J, Kim S
Clin Neuroradiol
. 2017 Jun;
28(1):127-135.
PMID: 28577042
Intracranial schwannomas are common but intra-suprasellar schwannomas are extremely rare. We represent the case of a 57-year-old woman with an intra-suprasellar tumor that was presurgically diagnosed as an anterior clinoidal...