| COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches M Toğaçar, B Ergen, Z Cömert Computers in biology and medicine 121, 103805, 2020 | 574 | 2020 |
| 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 41 (4), 212-222, 2020 | 249 | 2020 |
| BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model M Toğaçar, B Ergen, Z Cömert Medical hypotheses 134, 109531, 2020 | 224 | 2020 |
| BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer M Toğaçar, KB Özkurt, B Ergen, Z Cömert Physica A: Statistical Mechanics and its Applications 545, 123592, 2020 | 214 | 2020 |
| Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks M Toğaçar, B Ergen, Z Cömert Biocybernetics and Biomedical Engineering 40 (1), 23-39, 2020 | 165 | 2020 |
| Signal and image denoising using wavelet transform B Ergen Advances in Wavelet Theory and Their Applications in Engineering, Physics …, 2012 | 128 | 2012 |
| Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks M Toğaçar, Z Cömert, B Ergen Chaos, Solitons & Fractals 144, 110714, 2021 | 115 | 2021 |
| Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method M Toğaçar, Z Cömert, B Ergen Expert Systems with Applications 149, 113274, 2020 | 111 | 2020 |
| Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models M Toğaçar, B Ergen, Z Cömert Measurement 153, 107459, 2020 | 104 | 2020 |
| Time–frequency analysis of phonocardiogram signals using wavelet transform: a comparative study B Ergen, Y Tatar, HO Gulcur Computer methods in biomechanics and biomedical engineering 15 (4), 371-381, 2012 | 103 | 2012 |
| Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer … M Toğaçar, B Ergen, Z Cömert Medical hypotheses 135, 109503, 2020 | 95 | 2020 |
| Facial emotion recognition on a dataset using convolutional neural network V Tümen, ÖF Söylemez, B Ergen 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 90 | 2017 |
| Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods M Toğaçar, B Ergen, Z Cömert Applied Soft Computing 97, 106810, 2020 | 89 | 2020 |
| A novel chaos-based post-processing for TRNG E Avaroğlu, T Tuncer, AB Özer, B Ergen, M Türk Nonlinear Dynamics 81, 189-199, 2015 | 74 | 2015 |
| Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models M Toğaçar, B Ergen, Z Cömert Measurement 158, 107703, 2020 | 63 | 2020 |
| Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks M Toğaçar, B Ergen, Z Cömert Medical & Biological Engineering & Computing 59 (1), 57-70, 2021 | 50 | 2021 |
| A novel application based on spectrogram and convolutional neural network for ECG classification A Diker, Z Cömert, E Avcı, M Toğaçar, B Ergen 2019 1st International Informatics and Software Engineering Conference …, 2019 | 48 | 2019 |
| Subclass separation of white blood cell images using convolutional neural network models M Togacar, B Ergen, ME Sertkaya Elektronika ir Elektrotechnika 25 (5), 63-68, 2019 | 44 | 2019 |
| Zatürre Hastalığının Derin Öğrenme Modeli ile Tespiti. M Toğaçar, B Ergen, ME Sertkaya Firat University Journal of Engineering Science 31 (1), 2019 | 38 | 2019 |
| Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs M Toğaçar, N Muzoğlu, B Ergen, BSB Yarman, AM Halefoğlu Biomedical Signal Processing and Control 71, 103128, 2022 | 37 | 2022 |
Yetkin TATARFirat Universitesi, Bilgisayar Muh. BolumuVerified email at firat.edu.tr
