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ORCIDRahime Ceylan
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2020 – today
- 2024
[j23]Ender Kurnaz, Rahime Ceylan, Mustafa Alper Bozkurt, Hakan Cebeci, Mustafa Koplay:
A Novel Deep Learning Model for Pancreas Segmentation: Pascal U-Net. Inteligencia Artif. 27(74): 22-36 (2024)- [j22]Ahmet Solak
, Rahime Ceylan, Mustafa Alper Bozkurt, Hakan Cebeci, Mustafa Koplay:
Adrenal Tumor Segmentation on U-Net: A Study About Effect of Different Parameters in Deep Learning. Vietnam. J. Comput. Sci. 11(1): 111-135 (2024) - 2023
- [j21]Ahmet Solak, Rahime Ceylan:
A sensitivity analysis for polyp segmentation with U-Net. Multim. Tools Appl. 82(22): 34199-34227 (2023) - [j20]Kemal Erdogan, Rahime Ceylan, Ilknur Albayrak Gezer:
The use of augmented reality in the teaching and training of basic exercises involved in the non-surgical treatment of neck pain. Virtual Real. 27(1): 481-492 (2023) - 2020
- [j19]Mücahid Barstugan, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay:
Adrenal tumor characterization on magnetic resonance images. Int. J. Imaging Syst. Technol. 30(1): 252-265 (2020) - [j18]Mücahid Barstugan, Rahime Ceylan:
The effect of dictionary learning on weight update of AdaBoost and ECG classification. J. King Saud Univ. Comput. Inf. Sci. 32(10): 1149-1157 (2020) - [c8]Ender Kurnaz, Rahime Ceylan:
Pancreas Segmentation in Abdominal CT Images with U-Net Model. SIU 2020: 1-4
2010 – 2019
- 2019
- [j17]Hasan Koyuncu, Rahime Ceylan:
A PSO based approach: Scout particle swarm algorithm for continuous global optimization problems. J. Comput. Des. Eng. 6(2): 129-142 (2019) - [j16]Rahime Ceylan, Hasan Koyuncu:
A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN). J. King Saud Univ. Comput. Inf. Sci. 31(2): 235-251 (2019) - [j15]Hasan Koyuncu, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay:
An extensive study for binary characterisation of adrenal tumours. Medical Biol. Eng. Comput. 57(4): 849-862 (2019) - 2018
- [j14]Hasan Koyuncu, Rahime Ceylan:
Elimination of white Gaussian noise in arterial phase CT images to bring adrenal tumours into the forefront. Comput. Medical Imaging Graph. 65: 46-57 (2018) - [j13]Hasan Koyuncu, Rahime Ceylan, Hasan Erdogan, Mesut Sivri:
A novel pipeline for adrenal tumour segmentation. Comput. Methods Programs Biomed. 159: 77-86 (2018) - [j12]Mücahid Barstugan, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay:
Adrenal tumor segmentation method for MR images. Comput. Methods Programs Biomed. 164: 87-100 (2018) - [j11]Hasan Koyuncu, Rahime Ceylan, Mesut Sivri, Hasan Erdogan:
An Efficient Pipeline for Abdomen Segmentation in CT Images. J. Digit. Imaging 31(2): 262-274 (2018) - [c7]Hasan Koyuncu, Rahime Ceylan:
Multithresholding of Benchmark Images by A Novel Optimization Approach. CSIT (1) 2018: 322-325 - [c6]Mücahid Barstugan, Rahime Ceylan, Mesut Sivri, Hasan Erdogan:
Automatic Liver Segmentation in Abdomen CT Images using SLIC and AdaBoost Algorithms. ICBBB 2018: 129-133 - [c5]Asma Channa, Rahime Ceylan, Attiya Baqai:
Machine Learning for Analyzing Gait in Parkinson's Patients Using Wearable Force Sensors. INTAP 2018: 548-559 - 2017
- [c4]Hasan Koyuncu, Rahime Ceylan:
Classification of adrenal lesions by bounded PSO-NN. SIU 2017: 1-4 - 2016
- [j10]Rahime Ceylan, Hasan Koyuncu:
A New Breakpoint in Hybrid Particle Swarm-Neural Network Architecture: Individual Boundary Adjustment. Int. J. Inf. Technol. Decis. Mak. 15(6): 1313-1344 (2016) - [c3]Hasan Koyuncu, Rahime Ceylan:
Optic Disc Segmentation with Kapur-ScPSO Based Cascade Multithresholding. IWBBIO 2016: 206-215 - 2013
- [c2]Hasen Koyuncu, Rahime Ceylan:
Artificial neural network based on rotation forest for biomedical pattern classification. TSP 2013: 581-585 - 2011
- [j9]Yüksel Özbay, Rahime Ceylan, Bekir Karlik:
Integration of type-2 fuzzy clustering and wavelet transform in a neural network based ECG classifier. Expert Syst. Appl. 38(1): 1004-1010 (2011) - [j8]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) - [j7]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
- 2009
- [j6]Rahime Ceylan, Yüksel Özbay, Bekir Karlik:
A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural network. Expert Syst. Appl. 36(3): 6721-6726 (2009) - 2008
- [j5]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
- [j4]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) - [j3]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) - [j2]Rahime Ceylan, Yüksel Özbay:
Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network. Expert Syst. Appl. 33(2): 286-295 (2007) - 2006
- [j1]Yüksel Özbay, Rahime Ceylan, Bekir Karlik:
A fuzzy clustering neural network architecture for classification of ECG arrhythmias. Comput. Biol. Medicine 36(4): 376-388 (2006) - 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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