Blood vessel extraction from retinal images using Complex Wavelet Transform and Complex-Valued Artificial Neural Network. - Murat Ceylan; Hüseyin Yasar (TSP, 2013)

Investigation of image representation and denoising performances of real and complex valued fast finite shearlet transform. - Hüseyin Yasar; Murat Ceylan (SIU, 2015)

New approaches based on real and complex forms of ripplet-I transform for image analysis. - Hüseyin Yasar; Murat Ceylan (SIU, 2016)

A new method for extraction of image's features: Complex discrete Ripplet-II transform. - Hüseyin Yasar; Murat Ceylan (SIU, 2016)

A novel comparative study using multi-resolution transforms and convolutional neural network (CNN) for contactless palm print verification and identification. - Firat Hardalaç; Hüseyin Yasar; Anil Akyel; Ugurhan Kutbay (Multim. Tools Appl., 2020)

A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks. - Hüseyin Yasar; Murat Ceylan (Appl. Intell., 2021)

A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods. - Hüseyin Yasar; Murat Ceylan (Multim. Tools Appl., 2021)

A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks. - Hüseyin Yasar; Murat Ceylan (Multim. Syst., 2023)

A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey. - Hüseyin Yasar; Murat Ceylan; Hakan Cebeci; Abidin Kilinçer; Fikret Kanat; Mustafa Koplay (J. Exp. Theor. Artif. Intell., 2024)

Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images. - Hüseyin Yasar; Murat Ceylan (Cogn. Comput., 2024)