Yazar "Kaba, Esat" için listeleme
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Accuracy and readability of ChatGPT on potential complications of interventional radiology procedures: AI-powered patient interviewing
Kaba, Esat; Beyazal, Mehmet; Çeliker, Fatma Beyazal; Yel, İbrahim; Vogl, Thomas J (Elsevier, 2024)Rationale and Objectives: It is crucial to inform the patient about potential complications and obtain consent before interventional radiology procedures. In this study, we investigated the accuracy, reliability, and ... -
Accuracy of large language models in thyroid nodule-related questions based on the Korean thyroid imaging reporting and data system (K-TIRADS)
Kaba, Esat; Hürsoy, Nur; Solak, Merve; Çeliker, Fatma Beyazal (Korean Radiological Society, 2024)We read with great pleasure the review article “Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals” by Kim et al. [1] which was published online in ... -
Acute-onset left upper quadrant pain in a young woman
Kaba, Esat; Solak, Merve; Çubukçu, Yusuf; Yılmaz, Yusuf Enes; Beyazal, Mehmet (Elsevier, 2025)..... -
Assessing ChatGPT’s summarization of 68Ga PSMA PET/CT reports for patients
Bülbül, Ogün; Bülbül, Hande Melike; Kaba, Esat (Springer, 2024)Purpose: ChatGPT has recently been the subject of many studies, and its responses to medical questions have been successful. We examined ChatGPT-4’s evaluation of structured 68Ga prostate-specific membrane antigen (PSMA) ... -
Blockchain, teleradiology, and large language models: future perspectives
Kaba, Esat (American Roentgen Ray Society, 2025)... -
Can we use large language models for the use of contrast media in radiology?
Kaba, Esat; Vogl, Thomas J. (Elsevier, 2023).... -
Comparative parotid gland segmentation by using ResNet-18 and MobileNetV2 based DeepLab v3+architectures from magnetic resonance images
Sünnetçi, Kubilay Muhammed; Kaba, Esat; Çeliker, Fatma Beyazal; Alkan, Ahmet (Wiley, 2022)Nowadays, artificial intelligence-based medicine plays an important role in determining correlations not comprehensible to humans. In addition, the segmentation of organs at risk is a tedious and time-consuming procedure. ... -
Correction to: Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening (Japanese Journal of Radiology, (2024), 42, 8, (872-879), 10.1007/s11604-024-01558-8)
Bülbül, Hande Melike; Burakgazi, Gülen; Kesimal, Uğur; Kaba, Esat (Springer, 2024)In this article the title was incorrectly given as 'Radiomics‑based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening' but should have been 'Radiomics‑based ... -
Deep network-based comprehensive parotid gland tumor detection
Sünnetçi, Kubilay Muhammed; Kaba, Esat; Çeliker, Fatma Beyazal; Alkan, Ahmet (Elsevier, 2023)Rationale and Objectives: Salivary gland tumors constitute 2%-6% of all head and neck tumors and are most common in the parotid gland. Magnetic resonance (MR) imaging is the most sensitive imaging modality for diagnosis. ... -
The effectiveness of deep learning in the differential diagnosis of hemorrhagic transformation and contrast accumulation after endovascular thrombectomy in acute ischemic stroke patients
Beyazal, Mehmet; Solak, Merve; Tören, Murat; Asan, Berkutay; Kaba, Esat; Çeliker, Fatma Beyazal (MDPI (Multidisciplinary Digital Publishing Institute), 2025)Objectives: Differentiation of hyperdense areas on non-contrast computed tomography (NCCT) images as hemorrhagic transformation (HT) and contrast accumulation (CA) after endovascular thrombectomy (EVT) in acute ischemic ... -
Effectiveness of endovascular treatment in native hemodialysis fistula dysfunction: long-term outcomes
Beyazal, Mehmet; Kaba, Esat (MDPI, 2025)Objectives: This study aimed to present our single-center experience on the efficacy of endovascular treatment for the dysfunction of hemodialysis arteriovenous fistulas (AVF). Methods: This retrospective study analyzed ... -
Generative adversarial network based contrast enhancement: synthetic contrast brain magnetic resonance imaging
Solak, Merve; Tören, Murat; Asan, Berkutay; Kaba, Esat; Beyazal, Mehmet; Çeliker, Fatma Beyazal (Elsevier, 2024)Rationale and Objectives: Magnetic resonance imaging (MRI) is a vital tool for diagnosing neurological disorders, frequently utilising gadolinium-based contrast agents (GBCAs) to enhance resolution and specificity. However, ... -
The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules
Kaba, Esat; Solak, Merve; Varlık, Ayşenur Topçu; Çubukçu, Yusuf; Sağır, Lütfullah; Sünnetci, Kubilay Muhammed; Alkan, Ahmet; Gündoğdu, Hasan; Çeliker, Fatma Beyazal; Beyazal, Mehmet (Societatea Romana de Ultrasonografie in Medicina si Biologie, 2025)Aims: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant with ultrasonography (US). In addition, this study investigates the impact of DL on the diagnostic success of radiologists ... -
Interventricular membranous septal aneurysm
Kaba, Esat; Tabakoğlu, Serdar (Turkish Society of Cardiology, 2025)..... -
Is it possible to make LI-RADS easier?
Solak, Merve; Kaba, Esat; Beyazal, Mehmet (Wiley, 2024).... -
MR image fusion-based parotid gland tumor detection
Sünnetçi, Kubilay Muhammed; Kaba, Esat; Çeliker, Fatma Beyazal; Alkan, Ahmet (Springer, 2024)The differentiation of benign and malignant parotid gland tumors is of major significance as it directly affects the treatment process. In addition, it is also a vital task in terms of early and accurate diagnosis of parotid ...
