Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR. - Yesim Eroglu; Muhammed Yildirim; Ahmet Çinar (Comput. Biol. Medicine, 2021)

Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model. - Yesim Eroglu; Kadir Yildirim; Ahmet Çinar; Muhammed Yildirim (Comput. Methods Programs Biomed., 2021)

Classification of Pneumonia Cell Images Using Improved ResNet50 Model. - Ahmet Çinar; Muhammed Yildirim; Yesim Eroglu (Traitement du Signal, 2021)

mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images. - Yesim Eroglu; Muhammed Yildirim; Ahmet Çinar (Int. J. Imaging Syst. Technol., 2022)

COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers. - Muhammed Yildirim; Orkun Eroglu; Yesim Eroglu; Ahmet Çinar; Emine Cengil (New Gener. Comput., 2022)

Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model. - Ugur Demiroglu; Bilal Senol; Muhammed Yildirim; Yesim Eroglu (Multim. Tools Appl., 2023)

Diagnosis of periventricular leukomalacia in children with artificial intelligence-based models developed using brain magnetic resonance images. - Yesim Eroglu; Muhammed Yildirim; Ahmet Çinar (Signal Image Video Process., 2023)

Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model. - Muhammed Yildirim; Emine Cengil; Yesim Eroglu; Ahmet Çinar (Iran J. Comput. Sci., 2023)