Comparison of Complex-Valued Neural Network and Fuzzy Clustering Complex-Valued Neural Network for Load-Flow Analysis. - Murat Ceylan; Nurettin Çetinkaya; Rahime Ceylan; Yüksel Özbay (TAINN, 2005)

A fuzzy clustering neural network architecture for classification of ECG arrhythmias. - Yüksel Özbay; Rahime Ceylan; Bekir Karlik (Comput. Biol. Medicine, 2006)

Complex-valued wavelet artificial neural network for Doppler signals classifying. - Yüksel Özbay; Sadik Kara; Fatma Latifoglu; Rahime Ceylan; Murat Ceylan (Artif. Intell. Medicine, 2007)

Classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network. - Murat Ceylan; Rahime Ceylan; Fatma Dirgenali; Sadik Kara; Yüksel Özbay (Comput. Biol. Medicine, 2007)

Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network. - Rahime Ceylan; Yüksel Özbay (Expert Syst. Appl., 2007)

Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network. - Murat Ceylan; Rahime Ceylan; Yüksel Özbay; Sadik Kara (Artif. Intell. Medicine, 2008)

A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural network. - Rahime Ceylan; Yüksel Özbay; Bekir Karlik (Expert Syst. Appl., 2009)

Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease. - Rahime Ceylan; Murat Ceylan; Yüksel Özbay; Sadik Kara (Expert Syst. Appl., 2011)

Corrigendum to "Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease" [Expert Systems with Applications 38 (2011) 9744-9751]. - Rahime Ceylan; Murat Ceylan; Yüksel Özbay; Sadik Kara (Expert Syst. Appl., 2011)

Integration of type-2 fuzzy clustering and wavelet transform in a neural network based ECG classifier. - Yüksel Özbay; Rahime Ceylan; Bekir Karlik (Expert Syst. Appl., 2011)

Artificial neural network based on rotation forest for biomedical pattern classification. - Hasen Koyuncu; Rahime Ceylan (TSP, 2013)

Optic Disc Segmentation with Kapur-ScPSO Based Cascade Multithresholding. - Hasan Koyuncu; Rahime Ceylan (IWBBIO, 2016)

A New Breakpoint in Hybrid Particle Swarm-Neural Network Architecture: Individual Boundary Adjustment. - Rahime Ceylan; Hasan Koyuncu (Int. J. Inf. Technol. Decis. Mak., 2016)

Classification of adrenal lesions by bounded PSO-NN. - Hasan Koyuncu; Rahime Ceylan (SIU, 2017)

Multithresholding of Benchmark Images by A Novel Optimization Approach. - Hasan Koyuncu; Rahime Ceylan (CSIT (1), 2018)

Automatic Liver Segmentation in Abdomen CT Images using SLIC and AdaBoost Algorithms. - Mücahid Barstugan; Rahime Ceylan; Mesut Sivri; Hasan Erdogan (ICBBB, 2018)

Machine Learning for Analyzing Gait in Parkinson's Patients Using Wearable Force Sensors. - Asma Channa; Rahime Ceylan; Attiya Baqai (INTAP, 2018)

Elimination of white Gaussian noise in arterial phase CT images to bring adrenal tumours into the forefront. - Hasan Koyuncu; Rahime Ceylan (Comput. Medical Imaging Graph., 2018)

Adrenal tumor segmentation method for MR images. - Mücahid Barstugan; Rahime Ceylan; Semih Asoglu; Hakan Cebeci; Mustafa Koplay (Comput. Methods Programs Biomed., 2018)

A novel pipeline for adrenal tumour segmentation. - Hasan Koyuncu; Rahime Ceylan; Hasan Erdogan; Mesut Sivri (Comput. Methods Programs Biomed., 2018)

An Efficient Pipeline for Abdomen Segmentation in CT Images. - Hasan Koyuncu; Rahime Ceylan; Mesut Sivri; Hasan Erdogan (J. Digit. Imaging, 2018)

A PSO based approach: Scout particle swarm algorithm for continuous global optimization problems. - Hasan Koyuncu; Rahime Ceylan (J. Comput. Des. Eng., 2019)

A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN). - Rahime Ceylan; Hasan Koyuncu (J. King Saud Univ. Comput. Inf. Sci., 2019)

An extensive study for binary characterisation of adrenal tumours. - Hasan Koyuncu; Rahime Ceylan; Semih Asoglu; Hakan Cebeci; Mustafa Koplay (Medical Biol. Eng. Comput., 2019)

Pancreas Segmentation in Abdominal CT Images with U-Net Model. - Ender Kurnaz; Rahime Ceylan (SIU, 2020)

Adrenal tumor characterization on magnetic resonance images. - Mücahid Barstugan; Rahime Ceylan; Semih Asoglu; Hakan Cebeci; Mustafa Koplay (Int. J. Imaging Syst. Technol., 2020)

The effect of dictionary learning on weight update of AdaBoost and ECG classification. - Mücahid Barstugan; Rahime Ceylan (J. King Saud Univ. Comput. Inf. Sci., 2020)

The use of augmented reality in the teaching and training of basic exercises involved in the non-surgical treatment of neck pain. - Kemal Erdogan; Rahime Ceylan; Ilknur Albayrak Gezer (Virtual Real., 2023)

A sensitivity analysis for polyp segmentation with U-Net. - Ahmet Solak; Rahime Ceylan (Multim. Tools Appl., 2023)

A Novel Deep Learning Model for Pancreas Segmentation: Pascal U-Net. - Ender Kurnaz; Rahime Ceylan; Mustafa Alper Bozkurt; Hakan Cebeci; Mustafa Koplay (Inteligencia Artif., 2024)

Adrenal Tumor Segmentation on U-Net: A Study About Effect of Different Parameters in Deep Learning. - Ahmet Solak; Rahime Ceylan; Mustafa Alper Bozkurt; Hakan Cebeci; Mustafa Koplay (Vietnam. J. Comput. Sci., 2024)

A preprocessing method based on 3D U-Net for abdomen segmentation. - Hasan Basri Öksüz; Rahime Ceylan (Comput. Biol. Medicine, 2025)