A. Eken

发表

Diagnostic classification of schizophrenia and bipolar disorder by using dynamic functional connectivity: An fNIRS study

B. Baskak, K. Münir, A. Eken, 2022, Journal of Neuroscience Methods.

Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity

B. Baskak, Aykut Eken, B. Çolak, 2019, Journal of neural engineering.

Assessment of flourishing levels of individuals by using resting-state fNIRS with different functional connectivity measures

Aykut Eken, A. Eken, 2021, Biomed. Signal Process. Control..

Assessment of Flourishing Levels of Individuals by Using Resting State fNIRS with Different Functional Connectivity Measures

Aykut Eken, A. Eken, 2021, bioRxiv.

The relationship of cortical activity induced by pain stimulation with clinical and cognitive features of somatic symptom disorder: A controlled functional near infrared spectroscopy study.

B. Baskak, Aykut Eken, B. Çolak, 2020, Journal of psychosomatic research.

Diagnostic Machine Learning Approaches on Clinical Populations and Clinical Conditions using Functional Near Infrared Spectroscopy : A Review

O. Erogul, A. Eken, F. Nassehi, 2023, medRxiv.

Representation of pain in somatosensory cortex: Preliminary results from fNIRs

Didem Gökçay, Igor Mapelli, Aykut Eken, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Association of Fine Motor Loss and Allodynia in Fibromyalgia: An fNIRS Study

Murat Kara, Didem Gökçay, Bora Baskak, 2018, Journal of motor behavior.

Binary Classification Using Neural and Clinical Features: An Application in Fibromyalgia With Likelihood-Based Decision Level Fusion

Didem Gökçay, Aykut Eken, Serdar Baltacı, 2019, IEEE Journal of Biomedical and Health Informatics.

Differential efficiency of transcutaneous electrical nerve stimulation in dominant versus nondominant hands in fibromyalgia: placebo-controlled functional near-infrared spectroscopy study

Murat Kara, Didem Gökçay, Aykut Eken, 2017, Neurophotonics.

The utility of fNIRS signals versus self-report for classification of fibromyalgia syndrome

Murat Kara, Didem Gökçay, Bora Baskak, 2017, 2017 25th Signal Processing and Communications Applications Conference (SIU).

Extracting, computing, coordination: what does a triphasic ERP pattern say about language processing?

Tuna Çakar, Aykut Eken, Gülay Cedden, 2021, Language, Cognition and Neuroscience.

Analyzing strain rate in echocardiography images by using MATLAB

Bulent Yilmaz, Aykut Eken, Kemal Serbetci, 2009, 2009 14th National Biomedical Engineering Meeting.

Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review

A. Eken, F. Nassehi, Osman Eroğul, 2024, Reviews in the neurosciences.

Classification of fibromyalgia syndrome by using NIRS signals

D. Gokcay, B. Baskak, Aykut Eken, 2015, 2015 Medical Technologies National Conference (TIPTEKNO).

Determination of the Optimal EEG-based Features to Detect ADHD by Machine Learning Algorithms

İrem Bigat, A. Eken, F. Nassehi, 2023, 2023 Medical Technologies Congress (TIPTEKNO).