Rahime Ceylan - researchr alias

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Viewing Publication 1 - 30 from 30

2024

Adrenal Tumor Segmentation on U-Net: A Study About Effect of Different Parameters in Deep LearningAhmet Solak, Rahime Ceylan, Mustafa Alper Bozkurt, Hakan Cebeci, Mustafa Koplay. vjcs, 11(1):111-135, February 2024. [doi]

2023

The use of augmented reality in the teaching and training of basic exercises involved in the non-surgical treatment of neck painKemal Erdogan, Rahime Ceylan, Ilknur Albayrak Gezer. vr, 27(1):481-492, March 2023. [doi]

A sensitivity analysis for polyp segmentation with U-NetAhmet Solak, Rahime Ceylan. mta, 82(22):34199-34227, September 2023. [doi]

2020

The effect of dictionary learning on weight update of AdaBoost and ECG classificationMücahid Barstugan, Rahime Ceylan. jksucis, 32(10):1149-1157, 2020. [doi]

Adrenal tumor characterization on magnetic resonance imagesMücahid Barstugan, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay. imst, 30(1):252-265, 2020. [doi]

Pancreas Segmentation in Abdominal CT Images with U-Net ModelEnder Kurnaz, Rahime Ceylan. siu 2020: 1-4 [doi]

2019

A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN)Rahime Ceylan, Hasan Koyuncu. jksucis, 31(2):235-251, 2019. [doi]

An extensive study for binary characterisation of adrenal tumoursHasan Koyuncu, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay. mbec, 57(4):849-862, 2019. [doi]

A PSO based approach: Scout particle swarm algorithm for continuous global optimization problemsHasan Koyuncu, Rahime Ceylan. jcde, 6(2):129-142, 2019. [doi]

2018

Adrenal tumor segmentation method for MR imagesMücahid Barstugan, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay. cmpb, 164:87-100, 2018. [doi]

Automatic Liver Segmentation in Abdomen CT Images using SLIC and AdaBoost AlgorithmsMücahid Barstugan, Rahime Ceylan, Mesut Sivri, Hasan Erdogan. icbbb 2018: 129-133 [doi]

Machine Learning for Analyzing Gait in Parkinson's Patients Using Wearable Force SensorsAsma Channa, Rahime Ceylan, Attiya Baqai. intap 2019: 548-559 [doi]

Elimination of white Gaussian noise in arterial phase CT images to bring adrenal tumours into the forefrontHasan Koyuncu, Rahime Ceylan. cmig, 65:46-57, 2018. [doi]

A novel pipeline for adrenal tumour segmentationHasan Koyuncu, Rahime Ceylan, Hasan Erdogan, Mesut Sivri. cmpb, 159:77-86, 2018. [doi]

An Efficient Pipeline for Abdomen Segmentation in CT ImagesHasan Koyuncu, Rahime Ceylan, Mesut Sivri, Hasan Erdogan. jdi, 31(2):262-274, 2018. [doi]

Multithresholding of Benchmark Images by A Novel Optimization ApproachHasan Koyuncu, Rahime Ceylan. csit 2019: 322-325 [doi]

2017

Classification of adrenal lesions by bounded PSO-NNHasan Koyuncu, Rahime Ceylan. siu 2017: 1-4 [doi]

2016

A New Breakpoint in Hybrid Particle Swarm-Neural Network Architecture: Individual Boundary AdjustmentRahime Ceylan, Hasan Koyuncu. ijitdm, 15(6):1313-1344, 2016. [doi]

Optic Disc Segmentation with Kapur-ScPSO Based Cascade MultithresholdingHasan Koyuncu, Rahime Ceylan. iwbbio 2016: 206-215 [doi]

2013

Artificial neural network based on rotation forest for biomedical pattern classificationHasen Koyuncu, Rahime Ceylan. arbeitspl 2013: 581-585 [doi]

2011

2009

A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural networkRahime Ceylan, YÃ¼ksel Ã–zbay, Bekir Karlik. eswa, 36(3):6721-6726, 2009. [doi]

2008

Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural networkMurat Ceylan, Rahime Ceylan, Yüksel Özbay, Sadik Kara. artmed, 44(1):65-76, 2008. [doi]

2007

2006

A fuzzy clustering neural network architecture for classification of ECG arrhythmiasYüksel Özbay, Rahime Ceylan, Bekir Karlik. cbm, 36(4):376-388, 2006. [doi]

2005

Comparison of Complex-Valued Neural Network and Fuzzy Clustering Complex-Valued Neural Network for Load-Flow AnalysisMurat Ceylan, Nurettin Çetinkaya, Rahime Ceylan, Yüksel Özbay. tainn 2006: 92-99 [doi]

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