| 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 | 618 | 2020 |
| A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization M Nour, Z Cömert, K Polat Applied Soft Computing 97, 106580, 2020 | 360 | 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 | 296 | 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 | 284 | 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 | 248 | 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 | 203 | 2020 |
| Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach Y Altuntaş, Z Cömert, AF Kocamaz Computers and Electronics in Agriculture 163, 104874, 2019 | 181 | 2019 |
| Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images Ü Budak, Z Cömert, ZN Rashid, A Şengür, M Çıbuk Applied Soft Computing 85, 105765, 2019 | 164 | 2019 |
| Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks M Toğaçar, Z Cömert, B Ergen Chaos, Solitons & Fractals 144, 110714, 2021 | 149 | 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 | 130 | 2020 |
| Waste Classification using AutoEncoder Network with Integrated Feature Selection Method in Convolutional Neural Network Models M Toğaçar, B Ergen, Z Cömert Measurement, 107459, 2020 | 129 | 2020 |
| A study of artificial neural network training algorithms for classification of cardiotocography signals Z Cömert, A Kocamaz Bitlis Eren University journal of science and technology 7 (2), 93-103, 2017 | 124 | 2017 |
| 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 | 120 | 2020 |
| Comparison of machine learning techniques for fetal heart rate classification Z Cömert, A Kocamaz Acta Physica Polonica A 132 (3), 451-454, 2017 | 117 | 2017 |
| Machine learning approach equipped with neighbourhood component analysis for DDoS attack detection in software-defined networking Ö Tonkal, H Polat, E Başaran, Z Cömert, R Kocaoğlu Electronics 10 (11), 1227, 2021 | 110 | 2021 |
| 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 | 108 | 2020 |
| Computer-aided diagnosis system of fetal hypoxia incorporating recurrence plot with convolutional neural network Z Zhao, Y Zhang, Z Comert, Y Deng Frontiers in physiology 10, 255, 2019 | 96 | 2019 |
| Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment Z Cömert, AF Kocamaz, V Subha Computers in biology and medicine 99, 85-97, 2018 | 92 | 2018 |
| Convolutional neural network approach for automatic tympanic membrane detection and classification E Başaran, Z Cömert, Y Çelik Biomedical Signal Processing and Control 56, 101734, 2020 | 84 | 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 | 83 | 2020 |
Mesut ToğaçarAssoc. Prof., Management Information Systems, Fırat University確認したメール アドレス: firat.edu.tr