| Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture A Çinar, M Yildirim Medical hypotheses 139, 109684, 2020 | 405 | 2020 |
| Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks ahmet cinar seda arslan tuncer Computer Methods in Biomechanics and Biomedical Engineering, 1-12, 2021 | 127* | 2021 |
| Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR Y Eroğlu, M Yildirim, A Çinar Computers in biology and medicine 133, 104407, 2021 | 120 | 2021 |
| Classification of white blood cells by deep learning methods for diagnosing disease. M Yildirim, A Çinar Rev. d'Intelligence Artif. 33 (5), 335-340, 2019 | 81 | 2019 |
| Classification of lymphocytes, monocytes, eosinophils, and neutrophils on white blood cells using hybrid Alexnet-GoogleNet-SVM A Çınar, SA Tuncer SN Applied Sciences 3, 1-11, 2021 | 79 | 2021 |
| Classification of Pneumonia Cell Images Using Improved ResNet50 Model. A Çınar, M Yıldırım, Y Eroğlu Traitement du Signal 38 (1), 165-173, 2021 | 66 | 2021 |
| A deep learning based approach to lung cancer identification E Cengil, A Cinar 2018 International conference on artificial intelligence and data processing …, 2018 | 66 | 2018 |
| Image classification with caffe deep learning framework E Cengil, A Çınar, E Özbay 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 65 | 2017 |
| Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET M Yildirim, A Cinar International Journal of Imaging Systems and Technology 32 (1), 155-162, 2022 | 60 | 2022 |
| mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images Y Eroglu, M Yildirim, A Cinar International Journal of Imaging Systems and Technology, 2022 | 57 | 2022 |
| Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method muhammed yıldırım ahmet cinar Ingénierie des Systèmes d’Information 25 (4), 413-418, 2020 | 56* | 2020 |
| A Deep Learning Based Hybrid Approach for COVID-19 Disease Detections M Yildirim, A Cinar Traitement du Signal 37 (3), 461-468, 2020 | 51 | 2020 |
| UAV traffic patrolling via road detection and tracking in anonymous aerial video frames M Karaduman, A Cınar, H Eren Journal of Intelligent & Robotic Systems 95, 675-690, 2019 | 51 | 2019 |
| A GPU-based convolutional neural network approach for image classification E Cengil, A Çinar, Z Güler 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 46 | 2017 |
| A new approach for image classification: convolutional neural network E Cengil, A CINAR European Journal of Technique 6 (2), 96-103, 2016 | 45 | 2016 |
| Multiple classification of flower images using transfer learning E Cengıl, A Çinar 2019 International Artificial Intelligence and Data Processing Symposium …, 2019 | 43 | 2019 |
| Poisonous Mushroom Detection using YOLOV5 emine cengil Ahmet cinar Turkish Journal of Science & Technology 16 (1), 119-127, 2021 | 35* | 2021 |
| Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model Y Eroglu, K Yildirim, A Çinar, M Yildirim Computer Methods and Programs in Biomedicine 210, 106369, 2021 | 29 | 2021 |
| COVID-19 detection on chest X-ray images with the proposed model using artificial intelligence and classifiers M Yildirim, O Eroğlu, Y Eroğlu, A Çinar, E Cengil New Generation Computing 40 (4), 1077-1091, 2022 | 28 | 2022 |
| A hybrid approach for efficient multi‐classification of white blood cells based on transfer learning techniques and traditional machine learning methods E Cengil, A Çınar, M Yıldırım Concurrency and Computation: Practice and Experience, e6756, 2022 | 28 | 2022 |
Muhammed YILDIRIMAssoc. Prof. Dr., Computer Engineering, Malatya Turgut Ozal UniversityCorreu electrònic verificat a ozal.edu.tr
