Rahime Ceylan

Orcid: 0000-0003-0294-5692

According to our database1, Rahime Ceylan authored at least 30 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Adrenal Tumor Segmentation on U-Net: A Study About Effect of Different Parameters in Deep Learning.
Vietnam. J. Comput. Sci., February, 2024

2023
A sensitivity analysis for polyp segmentation with U-Net.
Multim. Tools Appl., September, 2023

The use of augmented reality in the teaching and training of basic exercises involved in the non-surgical treatment of neck pain.
Virtual Real., March, 2023

2020
The effect of dictionary learning on weight update of AdaBoost and ECG classification.
J. King Saud Univ. Comput. Inf. Sci., 2020

Adrenal tumor characterization on magnetic resonance images.
Int. J. Imaging Syst. Technol., 2020

Pancreas Segmentation in Abdominal CT Images with U-Net Model.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2019
An extensive study for binary characterisation of adrenal tumours.
Medical Biol. Eng. Comput., 2019

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

A PSO based approach: Scout particle swarm algorithm for continuous global optimization problems.
J. Comput. Des. Eng., 2019

2018
An Efficient Pipeline for Abdomen Segmentation in CT Images.
J. Digit. Imaging, 2018

A novel pipeline for adrenal tumour segmentation.
Comput. Methods Programs Biomed., 2018

Adrenal tumor segmentation method for MR images.
Comput. Methods Programs Biomed., 2018

Elimination of white Gaussian noise in arterial phase CT images to bring adrenal tumours into the forefront.
Comput. Medical Imaging Graph., 2018

Machine Learning for Analyzing Gait in Parkinson's Patients Using Wearable Force Sensors.
Proceedings of the Intelligent Technologies and Applications, 2018

Automatic Liver Segmentation in Abdomen CT Images using SLIC and AdaBoost Algorithms.
Proceedings of the 8th International Conference on Bioscience, 2018

Multithresholding of Benchmark Images by A Novel Optimization Approach.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018

2017
Classification of adrenal lesions by bounded PSO-NN.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
A New Breakpoint in Hybrid Particle Swarm-Neural Network Architecture: Individual Boundary Adjustment.
Int. J. Inf. Technol. Decis. Mak., 2016

Optic Disc Segmentation with Kapur-ScPSO Based Cascade Multithresholding.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016

2013
Artificial neural network based on rotation forest for biomedical pattern classification.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

2011
Integration of type-2 fuzzy clustering and wavelet transform in a neural network based ECG classifier.
Expert Syst. Appl., 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

Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease.
Expert Syst. Appl., 2011

2009
A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural network.
Expert Syst. Appl., 2009

2008
Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network.
Artif. Intell. Medicine, 2008

2007
Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network.
Expert Syst. Appl., 2007

Classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network.
Comput. Biol. Medicine, 2007

Complex-valued wavelet artificial neural network for Doppler signals classifying.
Artif. Intell. Medicine, 2007

2006
A fuzzy clustering neural network architecture for classification of ECG arrhythmias.
Comput. Biol. Medicine, 2006

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


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