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Aysegül Güven
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2020 – today
- 2022
- [j18]Aysegül Güven, Miray Altinkaynak, Nazan Dolu, Meltem Izzetoglu, Ferhat Pektas, Sevgi Özmen, Esra Demirci, Turgay Batbat:
Correction To: Combining functional near-infrared spectroscopy and EEG measurements for the diagnosis of attention-deficit hyperactivity disorder. Neural Comput. Appl. 34(8): 6581 (2022) - 2020
- [j17]Aysegül Güven, Miray Altinkaynak, Nazan Dolu, Meltem Izzetoglu, Ferhat Pektas, Sevgi Özmen, Esra Demirci, Turgay Batbat:
Combining functional near-infrared spectroscopy and EEG measurements for the diagnosis of attention-deficit hyperactivity disorder. Neural Comput. Appl. 32(12): 8367-8380 (2020)
2010 – 2019
- 2019
- [j16]Turgay Batbat, Aysegül Güven, Nazan Dolu:
Evaluation of divided attention using different stimulation models in event-related potentials. Medical Biol. Eng. Comput. 57(9): 2069-2079 (2019) - 2015
- [j15]Aysegül Güven, Miray Altinkaynak, Nazan Dolu, Kürsat Ünlühizarci:
Advanced Analysis of Auditory Evoked Potentials in Hyperthyroid Patients: The Effect of Filtering. J. Medical Syst. 39(2): 13 (2015)
2000 – 2009
- 2009
- [j14]Kemal Polat, Sadiotak Kara, Aysegül Güven, Salih Günes:
Comparison of different classifier algorithms for diagnosing macular and optic nerve diseases. Expert Syst. J. Knowl. Eng. 26(1): 22-34 (2009) - [j13]Kemal Polat, Sadik Kara, Aysegül Güven, Salih Günes:
Usage of class dependency based feature selection and fuzzy weighted pre-processing methods on classification of macular disease. Expert Syst. Appl. 36(2): 2584-2591 (2009) - 2008
- [j12]Bayram Akdemir, Sadik Kara, Kemal Polat, Aysegül Güven, Salih Günes:
Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals. Artif. Intell. Medicine 43(2): 141-149 (2008) - [j11]Aysegül Güven, Kemal Polat, Sadik Kara, Salih Günes:
The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signals. Comput. Biol. Medicine 38(1): 62-68 (2008) - [j10]Kemal Polat, Sadik Kara, Aysegül Güven, Salih Günes:
Utilization of Discretization method on the diagnosis of optic nerve disease. Comput. Methods Programs Biomed. 91(3): 255-264 (2008) - 2007
- [j9]Sadik Kara, Aysegül Güven:
Training a learning vector quantization network using the pattern electroretinography signals. Comput. Biol. Medicine 37(1): 77-82 (2007) - [j8]Sadik Kara, Aysegül Güven, Semra Içer:
Classification of macular and optic nerve disease by principal component analysis. Comput. Biol. Medicine 37(6): 836-841 (2007) - [j7]Sadik Kara, Aysegül Güven:
Neural Network-Based Diagnosing for Optic Nerve Disease from Visual-Evoked Potential. J. Medical Syst. 31(5): 391-396 (2007) - [c1]Kemal Polat, Sadik Kara, Aysegül Güven, Salih Günes:
A Hybrid Automated Detection System Based on Least Square Support Vector Machine Classifier and k -NN Based Weighted Pre-processing for Diagnosing of Macular Disease. ICANNGA (2) 2007: 338-345 - 2006
- [j6]Sadik Kara, Aysegül Güven, Ayse Öztürk Öner:
Utilization of artificial neural networks in the diagnosis of optic nerve diseases. Comput. Biol. Medicine 36(4): 428-437 (2006) - [j5]Sadik Kara, Aysegül Güven, Mustafa Okandan, Fatma Dirgenali:
Utilization of artificial neural networks and autoregressive modeling in diagnosing mitral valve stenosis. Comput. Biol. Medicine 36(5): 473-483 (2006) - [j4]Aysegül Güven, Sadik Kara:
Diagnosis of the macular diseases from pattern electroretinography signals using artificial neural networks. Expert Syst. Appl. 30(2): 361-366 (2006) - [j3]Aysegül Güven, Sadik Kara:
Classification of electro-oculogram signals using artificial neural network. Expert Syst. Appl. 31(1): 199-205 (2006) - [j2]Semra Içer, Sadik Kara, Aysegül Güven:
Comparison of multilayer perceptron training algorithms for portal venous doppler signals in the cirrhosis disease. Expert Syst. Appl. 31(2): 406-413 (2006) - 2005
- [j1]Sadik Kara, Semra Kemaloglu, Aysegül Güven:
Detection of femoral artery occlusion from spectral density of Doppler signals using the artificial neural network. Expert Syst. Appl. 29(4): 945-952 (2005)
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