A new method for automatic counting of ovarian follicles on whole slide histological images based on convolutional neural network. - Özkan Inik; Ayse Ceyhan; Esra Balcioglu; Erkan Ülker (Comput. Biol. Medicine, 2019)

Derin öğrenme kullanarak ovaryum follikülerinin sınıflandırılması (Classification of ovarian follicles with deep learning) - Özkan Inik (2019)

CnnSound: Convolutional Neural Networks for the Classification of Environmental Sounds. - Huseyin Seker; Özkan Inik (ICAAI, 2020)

B-Spline Curve Approximation by Utilizing Big Bang-Big Crunch Method. - Özkan Inik; Erkan Ülker; Ismail Kox (Comput. Syst. Sci. Eng., 2020)

MODE-CNN: A fast converging multi-objective optimization algorithm for CNN-based models. - Özkan Inik; Mustafa Altiok; Erkan Ülker; Baris Koçer (Appl. Soft Comput., 2021)

Optimization of deep learning based segmentation method. - Özkan Inik; Erkan Ülker (Soft Comput., 2022)

Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification. - Muhammed Celik; Özkan Inik (Expert Syst. Appl., 2024)

SwarmCNN: An efficient method for CNN hyperparameter optimization using PSO and ABC metaheuristic algorithms. - Özkan Inik (J. Supercomput., 2025)