| Brain tumor detection based on Convolutional Neural Network with neutrosophic expert maximum fuzzy sure entropy F Özyurt, E Sert, E Avci, E Dogantekin Measurement 147, 106830, 2019 | 248 | 2019 |
| A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models M Toğaçar, B Ergen, Z Cömert, F Özyurt IRBM, 2019 | 248 | 2019 |
| White blood cells detection and classification based on regional convolutional neural networks H Kutlu, E Avci, F Özyurt Medical hypotheses 135, 109472, 2020 | 207 | 2020 |
| An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine F Özyurt, E Sert, D Avcı Medical hypotheses 134, 109433, 2020 | 192 | 2020 |
| An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image T Tuncer, S Dogan, F Ozyurt Chemometrics and Intelligent Laboratory Systems, 104054, 2020 | 188 | 2020 |
| Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method M Toğaçar, Z Cömert, B Ergen, F Özyurt Expert Systems with Applications 149, 113274, 2020 | 111 | 2020 |
| A fused CNN model for WBC detection with MRMR feature selection and extreme learning machine F Özyurt Soft Computing, 1-10, 2020 | 105 | 2020 |
| A novel liver image classification method using perceptual hash-based convolutional neural network F Özyurt, T Tuncer, E Avci, M Koç, İ Serhatlioğlu Arabian Journal for Science and Engineering 44 (4), 3173-3182, 2019 | 97 | 2019 |
| A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network E Sert, F Özyurt, A Doğantekin Medical hypotheses 133, 109413, 2019 | 95 | 2019 |
| Efficient deep feature selection for remote sensing image recognition with fused deep learning architectures F Özyurt The Journal of Supercomputing, 1-19, 2020 | 93 | 2020 |
| Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice T Tuncer, S Dogan, F Özyurt, SB Belhaouari, H Bensmail IEEE Access 8, 84532-84540, 2020 | 88 | 2020 |
| A novel Covid-19 and pneumonia classification method based on F-transform T Tuncer, F Ozyurt, S Dogan, A Subasi Chemometrics and Intelligent Laboratory Systems 210, 104256, 2021 | 71 | 2021 |
| A novel approach for liver image classification: PH-C-ELM A Doğantekin, F Özyurt, E Avcı, M Koç Measurement 137, 332-338, 2019 | 67 | 2019 |
| An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning F Ozyurt, T Tuncer, A Subasi Computers in Biology and Medicine 132, 104356, 2021 | 49 | 2021 |
| UC-Merced Image Classification with CNN Feature Reduction Using Wavelet Entropy Optimized with Genetic Algorithm. F Özyurt, E Avcı, E Sert Traitement du Signal 37 (3), 2020 | 20 | 2020 |
| Evrişimsel Sinir Ağı Modellerinde Özellik Seçim Yöntemlerini Kullanarak Çiçek Görüntülerinin Sınıflandırılması M TOĞAÇAR, B ERGEN, F ÖZYURT Fırat Üniversitesi Mühendislik Bilimleri Dergisi 32 (1), 47-56, 2020 | 17 | 2020 |
| Examination of the ECG signal classification technique DEA-ELM using deep convolutional neural network features A Diker, Y Sönmez, F Özyurt, E Avcı, D Avcı Multimedia Tools and Applications 80, 24777-24800, 2021 | 15 | 2021 |
| Sentiment Analysis of Fast Food Companies With Deep Learning Models G Abdalla, F Özyurt The Computer Journal 64 (3), 383-390, 2021 | 14 | 2021 |
| Automated COVID-19 Detection from CT Images Using Deep Learning A Subasi, A Mitra, F Ozyurt, T Tuncer Computer-aided Design and Diagnosis Methods for Biomedical Applications, 153-176, 2021 | 13 | 2021 |
| A New Technique for Sentiment Analysis System Based on Deep Learning Using Chi-Square Feature Selection Methods M Hussein, F Özyurt Balkan Journal of Electrical and Computer Engineering 9 (4), 320-326, 2021 | 13 | 2021 |
Engin AvciYazılım Mühendisliği, Firat UniversityDirección de correo verificada de firat.edu.tr
