Murat Ceylan
Orcid: 0000-0001-6503-9668
According to our database1,
Murat Ceylan
authored at least 45 papers
between 2005 and 2025.
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Bibliography
2025
Involution-based HarmonyNet: An efficient hyperspectral imaging model for automatic detection of neonatal health status.
Biomed. Signal Process. Control., 2025
2024
Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images.
Cogn. Comput., July, 2024
A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey.
J. Exp. Theor. Artif. Intell., May, 2024
HayCAMJ: A new method to uncover the importance of main filter for small objects in explainable artificial intelligence.
Neural Comput. Appl., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
Comparison of Architectures of Deep Learning-Based Segmentation in Lower Extremity Human Thermal Imaging.
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications, 2024
Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications, 2024
2023
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.
Multim. Syst., December, 2023
Cloud environment-based super resolution application for thermal images using the new approach TSRGAN+ model.
Multim. Tools Appl., May, 2023
Evaluation of Deep Learning Models for Lower Extremity Muscle Segmentation in Thermal Imaging.
Proceedings of the Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023), 2023
Performance Evaluation of Convolutional Segmentation Models with Human Hand Thermal Images (H2TI) Dataset.
Proceedings of the Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023), 2023
2022
Effects of the deep learning-based super-resolution method on thermal image classification applications.
Multim. Tools Appl., 2022
Multim. Tools Appl., 2022
Multim. Tools Appl., 2022
Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process.
Proceedings of the 11th International Conference on Data Science, 2022
2021
Deep Learning Based Super Resolution and Classification Applications for Neonatal Thermal Images.
Traitement du Signal, 2021
Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps.
Traitement du Signal, 2021
Convolutional Neural Networks-Based Approach to Detect Neonatal Respiratory System Anomalies with Limited Thermal Image.
Traitement du Signal, 2021
A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods.
Multim. Tools Appl., 2021
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.
Appl. Intell., 2021
Comparison of Linear Discriminant Analysis, Support Vector Machines and Naive Bayes Methods in the Classification of Neonatal Hyperspectral Signatures.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021
2020
Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning Algorithms.
Traitement du Signal, 2020
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
2019
Comparison of Traditional Transformations for Data Augmentation in Deep Learning of Medical Thermography.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019
2018
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
Increasing lesion specificity with fusion of manually and automatically segmented liver MR images.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
2017
A parametric battery state of health estimation method for electric vehicle applications.
Turkish J. Electr. Eng. Comput. Sci., 2017
Determination of benign and malign lesions by fusion of the different phases of liver MR.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017
2016
A new method for extraction of image's features: Complex discrete Ripplet-II transform.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016
New approaches based on real and complex forms of ripplet-I transform for image analysis.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016
2015
Investigation of image representation and denoising performances of real and complex valued fast finite shearlet transform.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Fusion and ANN based classification of liver focal lesions using phases in magnetic resonance imaging.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Determining the number of tetrominoe orders for denoising applications performed by Tetrolet transform.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014
2013
Blood vessel extraction from retinal images using Complex Wavelet Transform and Complex-Valued Artificial Neural Network.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013
2012
A New Method for 3D Thinning of Hybrid Shaped Porous Media Using Artificial Intelligence. Application to Trabecular Bone.
J. Medical Syst., 2012
2011
Corrigendum to "Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease" [Expert Systems with Applications 38 (2011) 9744-9751].
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
2008
Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network.
Artif. Intell. Medicine, 2008
2007
Effects of window types on classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network.
Comput. Biol. Medicine, 2007
Classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network.
Comput. Biol. Medicine, 2007
Artif. Intell. Medicine, 2007
2005
Comparison of Complex-Valued Neural Network and Fuzzy Clustering Complex-Valued Neural Network for Load-Flow Analysis.
Proceedings of the Artificial Intelligence and Neural Networks, 14th Turkish Symposium, 2005