| 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 | 329 | 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), 212-220, 2020 | 130 | 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, 2020 | 78 | 2020 |
| BrainMRNet: Brain Tumor Detection using Magnetic Resonance Images with a Novel Convolutional Neural Network Model M Toğaçar, B Ergen, Z Cömert Medical Hypotheses, 109531, 2020 | 76 | 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, 2020 | 71 | 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 | 61 | 2020 |
| 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, 109503, 2020 | 53 | 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, 2020 | 45 | 2020 |
| 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 | 35 | 2020 |
| 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 | 35 | 2020 |
| Diagnosis of Eye Retinal Diseases Based on Convolutional Neural Networks Using Optical Coherence Images ME Sertkaya, B Ergen, M Toğaçar 23rd International Conference Electronics, 1-5, 2019 | 24 | 2019 |
| Subclass Separation of White Blood Cell Images Using Convolutional Neural Network Models M Toğaçar, B Ergen, ME Sertkaya Elektronika ir Elektrotechnika 25 (5), 63-68, 2019 | 23 | 2019 |
| Deep learning approach for classification of breast cancer M Toğaçar, B Ergen 2018 International Conference on Artificial Intelligence and Data Processing …, 2018 | 23 | 2018 |
| Biyomedikal Görüntülerde Derin Öğrenme ile Mevcut Yöntemlerin Kıyaslanması M Toğaçar, B Ergen Fırat Üniversitesi Mühendislik Bilimleri Dergisi 31 (1), 109-121, 2019 | 21 | 2019 |
| Chronic tympanic membrane diagnosis based on deep convolutional neural network E Başaran, Z Cömert, A Şengür, Ü Budak, Y Çelik, M Toğaçar 2019 4th International Conference on Computer Science and Engineering (UBMK …, 2019 | 20 | 2019 |
| Zatürre Hastalığının Derin Öğrenme Modeli ile Tespiti M Toğaçar, B Ergen, ME Sertkaya Fırat Üniversitesi Mühendislik Bilimleri Dergisi 31 (1), 223-230, 2019 | 19 | 2019 |
| Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks M Toğaçar, Z Cömert, B Ergen Chaos, Solitons & Fractals 144, 110714, 2021 | 17 | 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 | 13 | 2019 |
| Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals W Alsaggaf, Z Cömert, M Nour, K Polat, H Brdesee, M Toğaçar Applied Acoustics 167, 107429, 2020 | 12 | 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, 1-14, 2021 | 11 | 2021 |
Burhan ErgenComputer Engineering, Firat UniversityVerified email at firat.edu.tr
