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Rahime Ceylan graduated from Electrical-Electronics Engineering Department of Selcuk University with B.Sc. degree in 2000 and from Electrical-Electronics Engineering Department of Selcuk University with M.Sc. degree in 2004. She completed her PhD degree at the Electrical-Electronics Engineering Department of Selcuk University in 2009. Her current research interests are artificial neural networks, fuzzy clustering, biomedical signal and image processing, pattern recognition and classification.
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- 6 Article
Results 1-6 of 6 (Search time: 0.001 seconds).
|1||2020||Adrenal tumor characterization on magnetic resonance images||Barstuğan, Mücahid ; Ceylan, Rahime ; Asoğlu, Semih; Cebeci, Hakan; Koplay, Mustafa|
|2||2018||Adrenal tumor segmentation method for MR images||Barstuğan, Mücahid ; Ceylan, Rahime ; Asoğlu, Semih; Cebeci, Hakan; Koplay, Mustafa|
|3||2020||The effect of dictionary learning on weight update of AdaBoost and ECG classification||Barstuğan, Mücahid ; Ceylan, Rahime|
|4||2019||An extensive study for binary characterisation of adrenal tumours||Koyuncu, Hasan ; Ceylan, Rahime ; Asoğlu, Semih; Cebeci, Hakan; Koplay, Mustafa|
|5||2019||A PSO based approach: Scout particle swarm algorithm for continuous global optimization problems||Koyuncu, Hasan ; Ceylan, Rahime|
|6||2020||RESHAPING HUMAN INTENTION ON HUMAN-MACHINE INTERACTION BY USING HOLOGRAMS||Erdoğan, Kemal ; Durdu, Akif ; Ceylan, Rahime|