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ORCIDMurat Ceylan
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2020 – today
- 2025
[j24]Mücahit Cihan, Murat Ceylan, Murat Konak, Hanifi Soylu:
Involution-based HarmonyNet: An efficient hyperspectral imaging model for automatic detection of neonatal health status. Biomed. Signal Process. Control. 100: 106982 (2025)- 2024
- [j23]Hüseyin Yasar
, Murat Ceylan:
Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images. Cogn. Comput. 16(4): 1806-1833 (2024) - [j22]Hüseyin Yasar, Murat Ceylan, Hakan Cebeci, Abidin Kilinçer, Fikret Kanat, Mustafa Koplay:
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. 36(4): 563-583 (2024) - [j21]Mücahit Cihan, Murat Ceylan:
IRSN: Involutional Residual Spectral Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j20]Ahmet Haydar Ornek, Murat Ceylan:
HayCAMJ: A new method to uncover the importance of main filter for small objects in explainable artificial intelligence. Neural Comput. Appl. 36(18): 10791-10798 (2024) - [c21]Seyda Besnili, Ilayda Dinkul, Ahmet Bayrak, Mahmut Çevik, Murat Ceylan:
The Effects of Balance and Strength on Thermal Heatmap. AIIIMA 2024: 102-113 - [c20]Mete Can Yasar, Mahmut Çevik, Seyda Besnili, Murat Ceylan:
Comparison of Architectures of Deep Learning-Based Segmentation in Lower Extremity Human Thermal Imaging. AIIIMA 2024: 114-126 - 2023
- [j19]Hüseyin Yasar, Murat Ceylan:
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. 29(6): 3931-3949 (2023) - [j18]Fatih Mehmet Senalp, Batuhan Orhan, Murat Ceylan:
Cloud environment-based super resolution application for thermal images using the new approach TSRGAN+ model. Multim. Tools Appl. 82(12): 18483-18500 (2023) - [c19]Mahmut Çevik, Murat Ceylan:
Performance Evaluation of Convolutional Segmentation Models with Human Hand Thermal Images (H2TI) Dataset. AIIIMA@MICCAI 2023: 80-90 - [c18]Mehmet Celalettin Ergene, Ahmet Bayrak, Mahmut Çevik, Murat Ceylan:
Evaluation of Deep Learning Models for Lower Extremity Muscle Segmentation in Thermal Imaging. AIIIMA@MICCAI 2023: 109-120 - 2022
- [j17]Saim Ervural, Murat Ceylan:
Classification of neonatal diseases with limited thermal Image data. Multim. Tools Appl. 81(7): 9247-9275 (2022) - [j16]Fatih Mehmet Senalp, Murat Ceylan:
Effects of the deep learning-based super-resolution method on thermal image classification applications. Multim. Tools Appl. 81(7): 9313-9330 (2022) - [j15]Ahmet Haydar Ornek, Murat Ceylan:
Medical thermograms' classification using deep transfer learning models and methods. Multim. Tools Appl. 81(7): 9367-9384 (2022) - [c17]Dilruba Topçuoglu, Berat Utkan Mentes, Nur Askin, Ayse Damla Sengul, Zeynep Deniz Cankut, Talip Akdemir, Murat Ayvaz, Elif Kurt, Ozge Erdohan, Tumay Temiz, Murat Ceylan:
Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process. DATA 2022: 500-503 - 2021
- [j14]Hüseyin Yasar, Murat Ceylan:
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. 51(5): 2740-2763 (2021) - [j13]Hüseyin Yasar, Murat Ceylan:
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. 80(4): 5423-5447 (2021) - [j12]Saim Ervural, Murat Ceylan:
Convolutional Neural Networks-Based Approach to Detect Neonatal Respiratory System Anomalies with Limited Thermal Image. Traitement du Signal 38(2): 437-442 (2021) - [j11]Ahmet Haydar Örnek, Murat Ceylan:
Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps. Traitement du Signal 38(5): 1271-1279 (2021) - [j10]Fatih M. Senalp, Murat Ceylan:
Deep Learning Based Super Resolution and Classification Applications for Neonatal Thermal Images. Traitement du Signal 38(5): 1361-1368 (2021) - [c16]Mücahit Cihan, Murat Ceylan:
Comparison of Linear Discriminant Analysis, Support Vector Machines and Naive Bayes Methods in the Classification of Neonatal Hyperspectral Signatures. SIU 2021: 1-4 - 2020
- [j9]Ahmet Haydar Ornek, Saim Ervural, Murat Ceylan, Murat Konak, Hanifi Soylu, Duygu Savasci:
Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning Algorithms. Traitement du Signal 37(4): 611-617 (2020) - [c15]Ahmet Haydar Örnek, Murat Ceylan:
Classification of Medical Thermograms using Transfer Learning. SIU 2020: 1-4 - [c14]Ahmet Haydar Örnek, Murat Ceylan:
Explainable Features in Classification of Neonatal Thermograms. SIU 2020: 1-4
2010 – 2019
- 2019
- [c13]Ahmet Haydar Ornek, Murat Ceylan:
Comparison of Traditional Transformations for Data Augmentation in Deep Learning of Medical Thermography. TSP 2019: 191-194 - 2018
- [c12]Saim Ervural, Murat Ceylan:
Increasing lesion specificity with fusion of manually and automatically segmented liver MR images. SIU 2018: 1-4 - [c11]Duygu Savasci, Murat Ceylan:
Thermal image analysis for neonatal intensive care units (First evaluation results). SIU 2018: 1-4 - 2017
- [j8]Turev Sarikurt, Murat Ceylan, Abdulkadir Balikci:
A parametric battery state of health estimation method for electric vehicle applications. Turkish J. Electr. Eng. Comput. Sci. 25: 2860-2870 (2017) - [c10]Saim Ervural, Murat Ceylan:
Determination of benign and malign lesions by fusion of the different phases of liver MR. SIU 2017: 1-4 - 2016
- [c9]Hüseyin Yasar, Murat Ceylan:
New approaches based on real and complex forms of ripplet-I transform for image analysis. SIU 2016: 745-748 - [c8]Hüseyin Yasar, Murat Ceylan:
A new method for extraction of image's features: Complex discrete Ripplet-II transform. SIU 2016: 1673-1676 - 2015
- [c7]Ayse Elif Ozturk, Murat Ceylan:
Fusion and ANN based classification of liver focal lesions using phases in magnetic resonance imaging. ISBI 2015: 415-419 - [c6]Hüseyin Yasar, Murat Ceylan:
Investigation of image representation and denoising performances of real and complex valued fast finite shearlet transform. SIU 2015: 1429-1432 - 2014
- [c5]Murat Ceylan, Turev Sarikurt, Abdulkadir Balikci:
A novel Lithium-Ion-Polymer battery model for hybrid/electric vehicles. ISIE 2014: 366-369 - [c4]Turev Sarikurt, Murat Ceylan, Abdulkadir Balikci:
An analytical battery state of health estimation method. ISIE 2014: 1605-1609 - [c3]Murat Ceylan, Ayse Elif Ozturk:
Determining the number of tetrominoe orders for denoising applications performed by Tetrolet transform. SIU 2014: 216-219 - 2013
- [c2]Murat Ceylan, Hüseyin Yasar:
Blood vessel extraction from retinal images using Complex Wavelet Transform and Complex-Valued Artificial Neural Network. TSP 2013: 822-825 - 2012
- [j7]Rachid Jennane, Gabriel Aufort, Claude Laurent Benhamou, Murat Ceylan, Yüksel Özbay, Osman N. Uçan:
A New Method for 3D Thinning of Hybrid Shaped Porous Media Using Artificial Intelligence. Application to Trabecular Bone. J. Medical Syst. 36(2): 497-510 (2012) - 2011
- [j6]Rahime Ceylan, Murat Ceylan, Yüksel Özbay, Sadik Kara:
Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease. Expert Syst. Appl. 38(8): 9744-9751 (2011) - [j5]Rahime Ceylan, Murat Ceylan, Yüksel Özbay, Sadik Kara:
Corrigendum to "Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease" [Expert Systems with Applications 38 (2011) 9744-9751]. Expert Syst. Appl. 38(12): 15595-15598 (2011)
2000 – 2009
- 2008
- [j4]Murat Ceylan, Rahime Ceylan, Yüksel Özbay, Sadik Kara:
Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network. Artif. Intell. Medicine 44(1): 65-76 (2008) - 2007
- [j3]Yüksel Özbay, Sadik Kara, Fatma Latifoglu, Rahime Ceylan, Murat Ceylan:
Complex-valued wavelet artificial neural network for Doppler signals classifying. Artif. Intell. Medicine 40(2): 143-156 (2007) - [j2]Murat Ceylan, Rahime Ceylan, Fatma Dirgenali, Sadik Kara, Yüksel Özbay:
Classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network. Comput. Biol. Medicine 37(1): 28-36 (2007) - [j1]Yüksel Özbay, Murat Ceylan:
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 37(3): 287-295 (2007) - 2005
- [c1]Murat Ceylan, Nurettin Çetinkaya, Rahime Ceylan, Yüksel Özbay:
Comparison of Complex-Valued Neural Network and Fuzzy Clustering Complex-Valued Neural Network for Load-Flow Analysis. TAINN 2005: 92-99
Coauthor Index
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