Yazar "Burakgazi, Gülen" için PubMed İndeksli Yayınlar Koleksiyonu listeleme
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Could the cerebral involvement of COVID-19 disease be related to microstructural changes that are not reflected in conventional MRI images?
Çeliker, Fatma Beyazal; Kanat, Ayhan; Turan, Arzu; Beyazal, Mehmet; Burakgazi, Gülen; Hürsoy, Nur; Gündoğdu, Hasan; Polat, Hatice Beyazal (Gale Academic Onefile, 2023)In patients with COVID-19, neurodegeneration may develop before clinical symptoms appear. Diffusion-weighted (DW) MRI is an important technique for analyzing microstructural changes such as gliosis. In this study, a ... -
Diffusion-weighted MRI findings of caudate nucleus and putamen in patients with obsessive-compulsive disorder
Ağlamış, Serpil; Aydın, Ayşe Murat; Eroğlu, Yeşim; Burakgazi, Gülen; Atmaca, Murad (Cureus Inc., 2021)Objective The purpose of this study was to establish the diffusion-weighted magnetic resonance imaging (DW-MRI) findings of the caudate nucleus and putamen in patients with obsessive-compulsive disorder (OCD) and to ... -
Optical coherence tomography and shear wave elastography findings in Graves ophthalmopathy
Gürkan, Eren; Çakmak, Ayşe İdil; Burakgazi, Gülen; Keleş, Fatma Öztürk (Springer, 2024)Purpose: The main feature of Graves ophthalmopathy (GO) is revealed by determining the activity and severity of the disease. We aimed to evaluate the use of imaging methods can also provide additional information about the ... -
Preoperative assessment of grade, T stage, and lymph node involvement: machine learning-based CT texture analysis in colon cancer
Bülbül, Hande Melike; Burakgazi, Gülen; Kesimal, Uğur (Springer, 2023)Purpose To investigate whether texture analysis of primary colonic mass in preoperative abdominal computed tomography (CT) scans of patients diagnosed with colon cancer could predict tumor grade, T stage, and lymph node ... -
The R.E.N.A.L. nephrometry scoring from CT reports with ChatGPT: example with proofs
Topçu Varlık, Ayşenur; Kaba, Esat; Burakgazi, Gülen (Springer, 2024)We read with great interest, curiosity the article by Toyama et al. published in the Japanese Journal of Radiology [1]. In this article, the authors compared the response of large language models (LLMs) to the questions ... -
Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening
Bülbül, Hande Melike; Burakgazi, Gülen; Kesimal, Uğur; Kaba, Esat (Springer, 2024)PurposeTo distinguish malignant and benign bowel wall thickening (BWT) by using computed tomography (CT) texture features based on machine learning (ML) models and to compare its success with the clinical model and combined ...