Nokta bulutu verilerinden nesne ayırt etme (Distinguishing objects on point cloud data) - Erdal Özbay (2018)

A Comparative Study of Object Classification Methods Using 3D Zernike Moment on 3D Point Clouds. - Erdal Özbay; Ahmet Cevahir Cinar (Traitement du Signal, 2019)

3D Human Activity Classification with 3D Zernike Moment Based Convolutional, LSTM-Deep Neural Networks. - Erdal Özbay; Ahmet Çinar; Feyza Altunbey Özbay (Traitement du Signal, 2021)

Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing. - Erdal Özbay; Feyza Altunbey Özbay (Comput. Biol. Medicine, 2023)

An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm. - Erdal Özbay (Artif. Intell. Rev., 2023)

Interpretable features fusion with precision MRI images deep hashing for brain tumor detection. - Erdal Özbay; Feyza Altunbey Özbay (Comput. Methods Programs Biomed., 2023)

Brain tumor detection with mRMR-based multimodal fusion of deep learning from MR images using Grad-CAM. - Feyza Altunbey Özbay; Erdal Özbay (Iran J. Comput. Sci., 2023)

Classification of satellite images for ecology management using deep features obtained from convolutional neural network models. - Erdal Özbay; Muhammed Yildirim (Iran J. Comput. Sci., 2023)

Gastrointestinal Tract Disease Classification Using Residual-Inception Transformer With Wireless Capsule Endoscopy Images Segmentation. - Erdal Özbay (IEEE Access, 2024)

Visualization and classification of mushroom species with multi-feature fusion of metaheuristics-based convolutional neural network model. - Erdal Özbay; Feyza Altunbey Özbay; Farhad Soleimanian Gharehchopogh (Appl. Soft Comput., 2024)