H. Yaşar

发表

COMPARISON OF REAL AND COMPLEX-VALUED VERSIONS OF WAVELET TRANSFORM , CURVELET TRANSFORM AND RIDGELET TRANSFORM FOR MEDICAL IMAGE DENOISING

M. Ceylan, H. Yaşar, A. Ozturk, 2014 .

Real and Complex Valued Ripplet-I Transform for Medical Image Denoising and Analysis of Thresholding Constants and Scales Effects

M. Ceylan, H. Yaşar, 2017 .

A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey

M. Ceylan, H. Yaşar, H. Cebeci, 2022, J. Exp. Theor. Artif. Intell..

A New Radiomic Study on Lung CT Images of Patients with Covid-19 using LBP and Deep Learning (Convolutional Neural Networks (CNN))

M. Ceylan, H. Yaşar, 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

M. Ceylan, H. Yaşar, 2020, Applied Intelligence.

Deep Learning–Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images

M. Ceylan, H. Yaşar, 2021, Cognitive computation.

A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods

M. Ceylan, H. Yaşar, 2020, Multimedia Tools and Applications.

A new method for extraction of image's features: Complex discrete Ripplet-II transform

Murat Ceylan, Hüseyin Yasar, M. Ceylan, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

A novel comparative study using multi-resolution transforms and convolutional neural network (CNN) for contactless palm print verification and identification

Ugurhan Kutbay, Firat Hardalac, Anil Akyel, 2020, Multimedia Tools and Applications.

New approaches based on real and complex forms of ripplet-I transform for image analysis

Murat Ceylan, Hüseyin Yasar, M. Ceylan, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

A novel approach for automatic blood vessel extraction in retinal images: complex ripplet-I transform and complex valued artificial neural network

Murat Ceylan, Hüseyin Yaşar, M. Ceylan, 2016 .

Investigation of image representation and denoising performances of real and complex valued fast finite shearlet transform

Murat Ceylan, Huseyin Yasar, M. Ceylan, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

A novel approach for estimation of coronary artery calcium score class using ANN and body mass index, age and gender data

H. Yaşar, F. Hardalaç, Uğurhan Kutbay, 2018, 2018 4th International Conference on Computer and Technology Applications (ICCTA).

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

M. Ceylan, H. Yaşar, 2022, Multimedia Systems.

A Novel Study for Automatic Two-Class and Three-Class COVID-19 Severity Classification of CT Images using Eight Different CNNs and Pipeline Algorithm

H. Yaşar, Abidin Kılınçer, F. Kanat, 2023, ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal.

An automatic system of detecting changes in aerial images using ANN based contourlet transform

Murat Ceylan, Huseyin Yasar, Ridvan Safa Hatipoglu, 2015, 2015 7th International Conference on Recent Advances in Space Technologies (RAST).

A new combined system using ANN and complex wavelet transform for tissue density classification in mammography images

Hüseyin Yaşar, Uğurhan Kutbay, Fırat Hardalaç, 2018, 2018 4th International Conference on Computer and Technology Applications (ICCTA).