Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods. - Mesut Togaçar; Burhan Ergen; Zafer Cömert (Appl. Soft Comput., 2020)

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches. - Mesut Togaçar; Burhan Ergen; Zafer Cömert (Comput. Biol. Medicine, 2020)

Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method. - Mesut Togaçar; Zafer Cömert; Burhan Ergen (Expert Syst. Appl., 2020)

Corrigendum to "Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method" Expert Systems with Applications 149 (2020) 1-8 /113274. - Mesut Togaçar; Zafer Cömert; Burhan Ergen; Fatih Özyurt (Expert Syst. Appl., 2020)

Detection of segmented uterine cancer images by Hotspot Detection method using deep learning models, Pigeon-Inspired Optimization, types-based dominant activation selection approaches. - Mesut Togaçar (Comput. Biol. Medicine, 2021)

Disease type detection in lung and colon cancer images using the complement approach of inefficient sets. - Mesut Togaçar (Comput. Biol. Medicine, 2021)

Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks. - Mesut Togaçar; Burhan Ergen; Zafer Cömert (Medical Biol. Eng. Comput., 2021)

Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model. - Mesut Togaçar; Zafer Cömert; Burhan Ergen (Neural Comput. Appl., 2021)

Detection of weather images by using spiking neural networks of deep learning models. - Mesut Togaçar; Burhan Ergen; Zafer Cömert (Neural Comput. Appl., 2021)

Tıbbi beyin MR görüntülerinde kitle tespiti için yeni bir evrişimsel sinir ağı modelinin geliştirilmesi (Development of a new convolutional neural network model for mass detection in medical brain MR images) - Mesut Togaçar (2021)

Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs. - Mesut Togaçar; Nedim Muzoglu; Burhan Ergen; Bekir Siddik Binboga Yarman; Ahmet Mesrur Halefoglu (Biomed. Signal Process. Control., 2022)

Classification of cloud images by using super resolution, semantic segmentation approaches and binary sailfish optimization method with deep learning model. - Mesut Togaçar; Burhan Ergen (Comput. Electron. Agric., 2022)

Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images. - Mesut Togaçar (Comput. Methods Programs Biomed., 2022)

Using DarkNet models and metaheuristic optimization methods together to detect weeds growing along with seedlings. - Mesut Togaçar (Ecol. Informatics, 2022)

Detecting attacks on IoT devices with probabilistic Bayesian neural networks and hunger games search optimization approaches. - Mesut Togaçar (Trans. Emerg. Telecommun. Technol., 2022)

Experimental and artificial intelligence approaches to measuring the wear behavior of DIN St28 steel boronized by the box boronizing method using a mechanically alloyed powder source. - Muhammet Gökhan Albayrak; Ertan Evin; Oktay Yigit; Mesut Togaçar; Burhan Ergen (Eng. Appl. Artif. Intell., 2023)

Processing 2D barcode data with metaheuristic based CNN models and detection of malicious PDF files. - Mesut Togaçar; Burhan Ergen (Appl. Soft Comput., 2024)