Belief Propagation on Partially Ordered Sets. - Robert J. McEliece; Muhammed Yildirim (Mathematical Systems Theory in Biology, Communications, Computation, and Finance, 2003)

Classification of phosphorus magnetic resonance spectroscopic imaging of brain tumors using support vector machine and logistic regression at 3T. - Fusun Citak Er; Gokce Hale Hatay; Emre Okeer; Muhammed Yildirim; Bahattin Hakyemez; Esin Ozturk-Isik (EMBC, 2014)

Considerations in applying compressed sensing to in vivo phosphorus MR spectroscopic imaging of human brain at 3T. - Gokce Hale Hatay; Muhammed Yildirim; Esin Ozturk-Isik (Medical Biol. Eng. Comput., 2017)

Classification of White Blood Cells by Deep Learning Methods for Diagnosing Disease. - Muhammed Yildirim; Ahmet Çinar (Rev. d'Intelligence Artif., 2019)

Classification of Malaria Cell Images with Deep Learning Architectures. - Ahmet Çinar; Muhammed Yildirim (Ingénierie des Systèmes d Inf., 2020)

Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method. - Muhammed Yildirim; Ahmet Çinar (Ingénierie des Systèmes d Inf., 2020)

A Deep Learning Based Hybrid Approach for COVID-19 Disease Detections. - Muhammed Yildirim; Ahmet Çinar (Traitement du Signal, 2020)

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)

A new model for classification of human movements on videos using convolutional neural networks: MA-Net. - Muhammed Yildirim; Ahmet Çinar (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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)

Derin öğrenme yöntemleri kullanılarak görüntüler üzerinde insan hareketlerinin ve hastalıklarının sınıflandırılması (Classification of human movements and diseases on images using deep learning methods) - Muhammed Yildirim (2021)

A hybrid approach for efficient multi-classification of white blood cells based on transfer learning techniques and traditional machine learning methods. - Emine Cengil; Ahmet Çinar; Muhammed Yildirim (Concurr. Comput. Pract. Exp., 2022)

Automatic classification and diagnosis of heart valve diseases using heart sounds with MFCC and proposed deep model. - Muhammed Yildirim (Concurr. Comput. Pract. Exp., 2022)

ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis. - Sevim Cengiz; Muhammed Yildirim; Abdullah Bas; Esin Ozturk-Isik (Int. J. Imaging Syst. Technol., 2022)

Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid-based deep models. - Orkun Eroglu; Muhammed Yildirim (Int. J. Imaging Syst. Technol., 2022)

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)

Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET. - 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)

Automatic classification of kidney CT images with relief based novel hybrid deep model. - Harun Bingol; Muhammed Yildirim; Kadir Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2023)

Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, Relief, and gradient-weighted class activation mapping based deep hybrid model. - Muhammet Serdar Bugday; Mehmet Akcicek; Harun Bingol; Muhammed Yildirim (Int. J. Imaging Syst. Technol., 2023)

Multi-feature fusion and improved BO and IGWO metaheuristics based models for automatically diagnosing the sleep disorders from sleep sounds. - Sinem Akyol; Muhammed Yildirim; Bilal Alatas (Comput. Biol. Medicine, 2023)

Classification of satellite images for ecology management using deep features obtained from convolutional neural network models. - Erdal Özbay; Muhammed Yildirim (Iran J. Comput. Sci., 2023)

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)

Classification of the images (Plant-21) in the dataset created with 21 different Euphorbia Taxons with the developed AI-based hybrid model. - Murat Kursat; Muhammed Yildirim; Irfan Emre (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)

Automatic detection of knee osteoarthritis grading using artificial intelligence-based methods. - Muhammed Yildirim; Hursit Burak Mutlu (Int. J. Imaging Syst. Technol., 2024)

Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases. - Soner Kiziloluk; Muhammed Yildirim; Harun Bingol; Bilal Alatas (PeerJ Comput. Sci., 2024)

Advanced convolutional neural network modeling for fuel cell system optimization and efficiency in methane, methanol, and diesel reforming. - Sercan Yalçin; Muhammed Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2024)

A new hybrid approach based on AOA, CNN and feature fusion that can automatically diagnose Parkinson's disease from sound signals: PDD-AOA-CNN. - Muhammed Yildirim; Soner Kiziloluk; Serpil Aslan; Eser Sert (Signal Image Video Process., 2024)

Automated deep feature fusion based approach for the classification of multiclass rice diseases. - Nadide Yucel; Muhammed Yildirim (Iran J. Comput. Sci., 2024)

Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System. - Bedriye Dogan; Hursit Burak Mutlu; Muhammed Yildirim; Sercan Yalçin; Serpil Aslan; Niranjana Sampathila; Özal Yildirim; Edward J. Ciaccio; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2025)

A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter. - Serpil Aslan; Muhammed Yildirim (PeerJ Comput. Sci., 2025)

Enhancing knee osteoarthritis detection with AI, image denoising, and optimized classification methods and the importance of physical therapy methods. - Burak Bugday; Harun Bingol; Muhammed Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2025)

Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation. - Sercan Yalçin; Zuhal Cetin Yalcin; Muhammed Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2025)