Determination of QT interval on synthetic electrocardiogram. - Zafer Cömert; Adnan Fatih Kocamaz (SIU, 2015)

Cardiotocography signals with artificial neural network and extreme learning machine. - Zafer Cömert; Adnan Fatih Kocamaz; Sami Gungor (SIU, 2016)

Using wavelet transform for cardiotocography signals classification. - Zafer Cömert; Adnan Fatih Kocamaz (SIU, 2017)

Cardiotocography analysis based on segmentation-based fractal texture decomposition and extreme learning machine. - Zafer Cömert; Adnan Fatih Kocamaz (SIU, 2017)

Kardiyotokografi işaretlerinin analizi ve makine öğrenmesi teknikleri ile sınıflandırılması (Analysis of cardiotocography signals and classifying with machine learning techniques) - Zafer Cömert (2017)

Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach. - Zafer Cömert; Adnan Fatih Kocamaz (CSOS (1), 2018)

The influences of different window functions and lengths on image-based time-frequency features of fetal heart rate signals. - Zafer Cömert; A. Manivanna Boopathi; Subha Velappan; Zhang Yang; Adnan Fatih Kocamaz (SIU, 2018)

Performance evaluation of Empirical Mode Decomposition and Discrete Wavelet Transform for computerized hypoxia detection and prediction. - Zafer Cömert; Zhang Yang; Subha Velappan; A. Manivanna Boopathi; Adnan Fatih Kocamaz (SIU, 2018)

Classification of ECG signal by using machine learning methods. - Aykut Diker; Engin Avci; Zafer Cömert; Derya Avci; Emine Kacar; Ihsan Serhatlioglu (SIU, 2018)

Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals. - Aykut Diker; Zafer Cömert; Engin Avci; Subha Velappan (SIU, 2018)

Open-access software for analysis of fetal heart rate signals. - Zafer Cömert; Adnan Fatih Kocamaz (Biomed. Signal Process. Control., 2018)

Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment. - Zafer Cömert; Adnan Fatih Kocamaz; Velappan Subha (Comput. Biol. Medicine, 2018)

Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. - Ümit Budak; Zafer Cömert; Zryan Najat Rashid; Abdulkadir Sengür; Musa Çibuk (Appl. Soft Comput., 2019)

Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach. - Yahya Altuntas; Zafer Cömert; Adnan Fatih Kocamaz (Comput. Electron. Agric., 2019)

Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. - Zafer Cömert; Abdulkadir Sengür; Ümit Budak; Adnan Fatih Kocamaz (Health Inf. Sci. Syst., 2019)

Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time-frequency information. - Nihat Daldal; Zafer Cömert; Kemal Polat (Appl. Soft Comput., 2020)

A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization. - Majid Kamal A. Nour; Zafer Cömert; Kemal Polat (Appl. Soft Comput., 2020)

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)

Convolutional neural network approach for automatic tympanic membrane detection and classification. - Erdal Basaran; Zafer Cömert; Yüksel Çelik (Biomed. Signal Process. Control., 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)

Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism. - Ümit Budak; Musa Çibuk; Zafer Cömert; Abdulkadir Sengür (J. Digit. Imaging, 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)

A systematic review of automated pre-processing, feature extraction and classification of cardiotocography. - Shahad Al-yousif; Ariep Jaenul; Wisam Al-Dayyeni; Abdullah Hussein Alamoodi; Ihab Jabori; Nooritawati Md Tahir; Ali Amer Ahmed Alrawi; Zafer Cömert; Nael A. Al-shareefi; Abbadullah H. Saleh (PeerJ Comput. Sci., 2021)

Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm. - Adi Alhudhaif; Zafer Cömert; Kemal Polat (PeerJ Comput. Sci., 2021)

Neighbourhood component analysis and deep feature-based diagnosis model for middle ear otoscope images. - Erdal Basaran; Zafer Cömert; Yüksel Çelik (Neural Comput. Appl., 2022)

Scene Text Recognition Using Permutated Autoregressive Sequence Model and YOLOv8. - Berna Gürler Ari; Zafer Cömert (SIU, 2024)

Computerized otoscopy image-based artificial intelligence model utilizing deep features provided by vision transformer, grid search optimization, and support vector machine for otitis media diagnosis. - Zafer Cömert; Agnese Sbrollini; Furkancan Demircan; Laura Burattini (Neural Comput. Appl., 2024)

MobileNet- and attention-based MLP-Mixer architecture for geographical-region recognition of a marine fish (Perciformes: Carangidae) using otolith images. - Ömerhan Dürrani; Seda Isgüzar; Andac Imak; Tuncay Atessahin; Zafer Cömert; Syeda Zahra Dürrani; Muammer Türkoglu (Expert Syst. Appl., 2025)

Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification. - Zafer Cömert; Ferat Efil; Muammer Türkoglu (Int. J. Imaging Syst. Technol., 2025)

Enhancing intra-aural disease classification with attention-based deep learning models. - Furkancan Demircan; Murat Ekinci; Zafer Cömert (Neural Comput. Appl., 2025)