Yazar "Solak, Merve" için listeleme
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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)..... -
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 ... -
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 ... -
Is it possible to make LI-RADS easier?
Solak, Merve; Kaba, Esat; Beyazal, Mehmet (Wiley, 2024).... -
Relationship between breast cancer and cardiac myxoma
Hürsoy, Nur; Solak, Merve; Nak, Demet (Tehran University of Medical Sciences, 2024)... -
The role of prompt engineering in radiology applications of generative aI
Kaba, Esat; Solak, Merve; Çeliker, Fatma Beyazal (Elsevier, 2024)..... -
Ultrasound findings in infantile haemangioma of the parotid gland
Solak, Merve; Kaba, Esat; Burakgazi, Gülen (Elsevier, 2024).....
