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Aykut Eken
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2020 – today
- 2024
- [j3]Farhad Nassehi
, Aykut Eken
, Nart Bedin Atalay, Hikmet Firat, Osman Erogul:
Machine learning based severity classification of obstructive sleep apnea patients using awake EEG. Biomed. Signal Process. Control. 96: 106566 (2024) - [c5]Farhad Nassehi, Asuhan Par, Aykut Eken, Sinan Yetkin, Osman Erogul:
Defining The Optimal Alpha Band Connectivity Pathways To Detect Depression Using Explainable AI. SIU 2024: 1-4 - [c4]Bora Mert Sahin, Süveyda Sanli, Kübra Erdogan, Mahmut Esad Durmus, Özgür Kara, Bayram Kaymak, Murat Kara, Aykut Eken:
Identification of Neurological Markers of Sarcopenia Disease Using Functional Near-Infrared Spectroscopy and Machine Learning. SIU 2024: 1-4 - 2021
- [j2]Aykut Eken:
Assessment of flourishing levels of individuals by using resting-state fNIRS with different functional connectivity measures. Biomed. Signal Process. Control. 68: 102645 (2021)
2010 – 2019
- 2019
- [j1]Didem Gökçay
, Aykut Eken
, Serdar Baltaci:
Binary Classification Using Neural and Clinical Features: An Application in Fibromyalgia With Likelihood-Based Decision Level Fusion. IEEE J. Biomed. Health Informatics 23(4): 1490-1498 (2019) - 2017
- [c3]Aykut Eken
, Didem Gökçay, Bora Baskak, Aysegul Baltaci, Murat Kara:
The utility of fNIRS signals versus self-report for classification of fibromyalgia syndrome. SIU 2017: 1-4 - 2014
- [c2]Aykut Eken
:
Filtering of functional near infrared spectroscopy signals by eigenvalue based methods. SIU 2014: 373-376 - 2013
- [c1]Didem Gökçay, Aykut Eken
, Igor Mapelli, Oyku Cobanoglu, Gulhan Saracaydin
, Alper Kayalar, Ekin Kantar:
Representation of pain in somatosensory cortex: Preliminary results from fNIRs. SIU 2013: 1-4
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last updated on 2024-08-03 21:12 CEST by the dblp team
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