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Mehmet Feyzi Aksahin

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affiliation: Baskent University, Ankara, Turkey

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Journal Articles

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2021
[j5]
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Burcu Oltu, Mehmet Feyzi Aksahin, Seda Kibaroglu:
A novel electroencephalography based approach for Alzheimer's disease and mild cognitive impairment detection. Biomed. Signal Process. Control. 63: 102223 (2021)
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Gökay Karayegen, Mehmet Feyzi Aksahin:
Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region. Biomed. Signal Process. Control. 66: 102458 (2021)
[j3]
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Busra Kubra Karaca, Mehmet Feyzi Aksahin, Ruhsen Öcal:
Detection of multiple sclerosis from photic stimulation EEG signals. Biomed. Signal Process. Control. 67: 102571 (2021)
2020
[j2]
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Aykut Erdamar, Mehmet Feyzi Aksahin:
Multi-scale classification of single-cell gel electrophoresis assay using deep learning algorithm. Biomed. Signal Process. Control. 56 (2020)
[j1]
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Aykut Erdamar, Mehmet Feyzi Aksahin:
Quantitative sleep EEG synchronization analysis for automatic arousals detection. Biomed. Signal Process. Control. 59: 101895 (2020)

Conference and Workshop Papers

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2018
[c6]
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Mehmet Feyzi Aksahin, Burcu Oltu, Busra Kubra Karaca:
Sleep apnea detection using blood pressure signal. SIU 2018: 1-4
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Busra Kubra Karaca, Burcu Oltu, Tugce Kantar Ugur, Erkin Kilic, Mehmet Feyzi Aksahin, Aykut Erdamar:
Classification of heart sound recordings with continuous wavelet transform based algorithm. SIU 2018: 1-4
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Sinasi Kutay Ozen, Mehmet Feyzi Aksahin:
Neurofeedback system design based on discrete wavelet transform. SIU 2018: 1-4
[c3]
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Tansel Uyar, Aykut Erdamar, Mehmet Feyzi Aksahin, Menemse Gumusderelioglu, Gulseren Irmak, Osman Erogul:
Segmentation of live and dead cells in tissue scaffolds. SIU 2018: 1-4
2017
[c2]
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Mehmet Feyzi Aksahin, Aykut Erdamar, Atakan Isik, Asena Karaduman:
Sleep apnea detection using with EEG, ECG and respiratory signals. SIU 2017: 1-4
2016
[c1]
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  - conf/siu/OzkanDKAE16
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Cansu Özkan, Seda Dogan, Tugce Kantar Ugur, Mehmet Feyzi Aksahin, Aykut Erdamar:
Detection of epilepsy disease from EEG signals with artificial neural networks. SIU 2016: 693-696

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