Author

Ayşegül Güven

Erciyes UniversityORCID 0000-0001-8517-3530Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Carsten Hermann WoltersiD· 1 shared Christoph KellinghausiD· 1 shared Daniela CzernochowskiiD· 1 shared Demet Yeşi̇lbaşiD· 1 shared Gabriel MöddeliD· 1 shared Lala JafarovaiD· 1 shared Sebastian SägeriD· 1 shared Stefan RamppiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Carsten Hermann WoltersORCID

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1 paper

Recent·Most cited

Machine-Learning-Based spike marking in signal and source space EEG from a patient with focal epilepsy

Lala Jafarova, Demet Yeşi̇lbaş, Christoph Kellinghaus, Gabriel Möddel, Stjepana Kovac, Stefan Rampp, Daniela Czernochowski, Sebastian Säger, Ayşegül Güven, Turgay Batbat, Carsten Hermann Wolters

This paper uses artificial neural networks to classify interictal epileptiform discharges in EEG data from a patient with focal epilepsy, achieving high accuracy in signal and source space analyses.

bioRxiv · Mar 10, 2026 · PreprintNeuroscience