Blending of 2D Objects Using Fuzzy Logic. - Ahmet Çinar; Ahmet Arslan (Fuzzy Days, 2001)

Fuzzy Object Blending in 2-D. - Ahmet Çinar; Ahmet Arslan (International Conference on Computational Science (2), 2001)

Neural Networks Based Mesh Generation Method in 2-D. - Ahmet Çinar; Ahmet Arslan (EurAsia-ICT, 2002)

Fuzzy blending of materials. - Ahmet Çinar (GRAPHITE, 2004)

A Method Based on Fuzzy Logic Technique for Smoothing in 2D. - Ahmet Çinar (International Conference on Computational Science, 2004)

A Method for Local Tuning of Fuzzy Membership Functions. - Ahmet Çinar (International Conference on Computational Science (3), 2005)

Classification of Human Driving Behaviour Images Using Convolutional Neural Network Architecture. - Emine Cengil; Ahmet Çinar (HAIS, 2019)

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)

Prioritized single nurse routing and scheduling for home healthcare services. - Ahmet Çinar; F. Sibel Salman; Burçin Bozkaya (Eur. J. Oper. Res., 2021)

Determining and Measuring the Amount of Region Having COVID-19 on Lung Images. - Seda Arslan Tuncer; Ahmet Çinar; Taner Tuncer; Fatih Çolak (Appl. Comput. Syst., 2021)

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

3D Human Activity Classification with 3D Zernike Moment Based Convolutional, LSTM-Deep Neural Networks. - Erdal Özbay; Ahmet Çinar; Feyza Altunbey Özbay (Traitement du Signal, 2021)

Hybrid CNN Based Computer-Aided Diagnosis System for Choroidal Neovascularization, Diabetic Macular Edema, Drusen Disease Detection from OCT Images. - Seda Arslan Tuncer; Ahmet Çinar; Murat Firat (Traitement du Signal, 2021)

Prediction of Pentacam image after corneal cross-linking by linear interpolation technique and U-NET based 2D regression model. - Murat Firat; Ahmet Çinar; Cem Çankaya; Ilknur Tuncer Firat; Taner Tuncer (Comput. Biol. Medicine, 2022)

Hybrid convolutional neural network based classification of bacterial, viral, and fungal diseases on tomato leaf images. - Emine Cengil; Ahmet Çinar (Concurr. Comput. Pract. Exp., 2022)

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)

The effect of deep feature concatenation in the classification problem: An approach on COVID-19 disease detection. - Emine Cengil; Ahmet Çinar (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)

Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning. - Murat Firat; Cem Çankaya; Ahmet Çinar; Taner Tuncer (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)

Detection of autism spectrum disorder from changing of pupil diameter using multi-modal feature fusion based hybrid CNN model. - Dilber Çetintas; Taner Tuncer; Ahmet Çinar (J. Ambient Intell. Humaniz. Comput., 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)

Deep Multi-Modal Fusion Model for Identification of Eight Different Particles in Urinary Sediment. - Seda Arslan Tuncer; Ahmet Çinar; Merve Erkus; Taner Tuncer (Appl. Comput. Syst., 2024)

Managing Home Health-Care Services With Dynamic Arrivals During a Public Health Emergency. - Ahmet Çinar; F. Sibel Salman; Ozgur M. Araz; Mert Parcaoglu (IEEE Trans. Engineering Management, 2024)

YOLOv5 based detector for eight different urine particles components on single board computer. - Ahmet Çinar; Merve Erkus; Taner Tuncer; Hakan Ayyildiz; Seda Arslan Tuncer (Int. J. Imaging Syst. Technol., 2024)