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Muhammed Yildirim
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2020 – today
- 2024
- [j29]Muhammed Yildirim, Hursit Burak Mutlu:
Automatic detection of knee osteoarthritis grading using artificial intelligence-based methods. Int. J. Imaging Syst. Technol. 34(2) (2024) - [j28]Nadide Yucel, Muhammed Yildirim:
Automated deep feature fusion based approach for the classification of multiclass rice diseases. Iran J. Comput. Sci. 7(1): 131-138 (2024) - [j27]Soner Kiziloluk, Muhammed Yildirim, Harun Bingol, Bilal Alatas:
Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases. PeerJ Comput. Sci. 10: e1919 (2024) - [j26]Sercan Yalçin, Muhammed Yildirim, Bilal Alatas:
Advanced convolutional neural network modeling for fuel cell system optimization and efficiency in methane, methanol, and diesel reforming. PeerJ Comput. Sci. 10: e2113 (2024) - [j25]Muhammed Yildirim, Soner Kiziloluk, Serpil Aslan, Eser Sert:
A new hybrid approach based on AOA, CNN and feature fusion that can automatically diagnose Parkinson's disease from sound signals: PDD-AOA-CNN. Signal Image Video Process. 18(2): 1227-1240 (2024) - 2023
- [j24]Sinem Akyol, Muhammed Yildirim, Bilal Alatas:
Multi-feature fusion and improved BO and IGWO metaheuristics based models for automatically diagnosing the sleep disorders from sleep sounds. Comput. Biol. Medicine 157: 106768 (2023) - [j23]Muhammet Serdar Bugday, Mehmet Akcicek, Harun Bingol, Muhammed Yildirim:
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. Int. J. Imaging Syst. Technol. 33(2): 760-769 (2023) - [j22]Erdal Özbay, Muhammed Yildirim:
Classification of satellite images for ecology management using deep features obtained from convolutional neural network models. Iran J. Comput. Sci. 6(3): 185-193 (2023) - [j21]Muhammed Yildirim, Emine Cengil, Yesim Eroglu, Ahmet Çinar:
Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model. Iran J. Comput. Sci. 6(4): 455-464 (2023) - [j20]Ugur Demiroglu, Bilal Senol, Muhammed Yildirim, Yesim Eroglu:
Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model. Multim. Tools Appl. 82(21): 33379-33400 (2023) - [j19]Harun Bingol, Muhammed Yildirim, Kadir Yildirim, Bilal Alatas:
Automatic classification of kidney CT images with relief based novel hybrid deep model. PeerJ Comput. Sci. 9: e1717 (2023) - [j18]Murat Kursat, Muhammed Yildirim, Irfan Emre:
Classification of the images (Plant-21) in the dataset created with 21 different Euphorbia Taxons with the developed AI-based hybrid model. Signal Image Video Process. 17(8): 4153-4161 (2023) - [j17]Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar:
Diagnosis of periventricular leukomalacia in children with artificial intelligence-based models developed using brain magnetic resonance images. Signal Image Video Process. 17(8): 4543-4550 (2023) - 2022
- [j16]Emine Cengil, Ahmet Çinar, Muhammed Yildirim:
A hybrid approach for efficient multi-classification of white blood cells based on transfer learning techniques and traditional machine learning methods. Concurr. Comput. Pract. Exp. 34(6) (2022) - [j15]Muhammed Yildirim:
Automatic classification and diagnosis of heart valve diseases using heart sounds with MFCC and proposed deep model. Concurr. Comput. Pract. Exp. 34(24) (2022) - [j14]Muhammed Yildirim, Ahmet Çinar:
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET. Int. J. Imaging Syst. Technol. 32(1): 155-162 (2022) - [j13]Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar:
mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images. Int. J. Imaging Syst. Technol. 32(2): 517-527 (2022) - [j12]Orkun Eroglu, Muhammed Yildirim:
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid-based deep models. Int. J. Imaging Syst. Technol. 32(3): 717-727 (2022) - [j11]Sevim Cengiz, Muhammed Yildirim, Abdullah Bas, Esin Ozturk-Isik:
ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis. Int. J. Imaging Syst. Technol. 32(4): 1068-1083 (2022) - [j10]Muhammed Yildirim, Orkun Eroglu, Yesim Eroglu, Ahmet Çinar, Emine Cengil:
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers. New Gener. Comput. 40(4): 1077-1091 (2022) - 2021
- [b1]Muhammed Yildirim:
Derin öğrenme yöntemleri kullanılarak görüntüler üzerinde insan hareketlerinin ve hastalıklarının sınıflandırılması (Classification of human movements and diseases on images using deep learning methods). Fırat University, Turkey, 2021 - [j9]Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar:
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR. Comput. Biol. Medicine 133: 104407 (2021) - [j8]Muhammed Yildirim, Ahmet Çinar:
A new model for classification of human movements on videos using convolutional neural networks: MA-Net. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(6): 651-659 (2021) - [j7]Yesim Eroglu, Kadir Yildirim, Ahmet Çinar, Muhammed Yildirim:
Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model. Comput. Methods Programs Biomed. 210: 106369 (2021) - [j6]Ahmet Çinar, Muhammed Yildirim, Yesim Eroglu:
Classification of Pneumonia Cell Images Using Improved ResNet50 Model. Traitement du Signal 38(1): 165-173 (2021) - 2020
- [j5]Ahmet Çinar, Muhammed Yildirim:
Classification of Malaria Cell Images with Deep Learning Architectures. Ingénierie des Systèmes d Inf. 25(1): 35-39 (2020) - [j4]Muhammed Yildirim, Ahmet Çinar:
Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method. Ingénierie des Systèmes d Inf. 25(4): 413-418 (2020) - [j3]Muhammed Yildirim, Ahmet Çinar:
A Deep Learning Based Hybrid Approach for COVID-19 Disease Detections. Traitement du Signal 37(3): 461-468 (2020)
2010 – 2019
- 2019
- [j2]Muhammed Yildirim, Ahmet Çinar:
Classification of White Blood Cells by Deep Learning Methods for Diagnosing Disease. Rev. d'Intelligence Artif. 33(5): 335-340 (2019) - 2017
- [j1]Gokce Hale Hatay, Muhammed Yildirim, Esin Ozturk-Isik:
Considerations in applying compressed sensing to in vivo phosphorus MR spectroscopic imaging of human brain at 3T. Medical Biol. Eng. Comput. 55(8): 1303-1315 (2017) - 2014
- [c1]Fusun Citak Er, Gokce Hale Hatay, Emre Okeer, Muhammed Yildirim, Bahattin Hakyemez, Esin Ozturk-Isik:
Classification of phosphorus magnetic resonance spectroscopic imaging of brain tumors using support vector machine and logistic regression at 3T. EMBC 2014: 2392-2395
2000 – 2009
- 2003
- [p1]Robert J. McEliece, Muhammed Yildirim:
Belief Propagation on Partially Ordered Sets. Mathematical Systems Theory in Biology, Communications, Computation, and Finance 2003: 275-299
Coauthor Index
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