Author

Begum Bilir

Delft University of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Alessandro SavinoiD· 1 shared Gabriella OlmoiD· 1 shared Gianluca AmprimoiD· 1 shared Lorenzo MartiniiD· 1 shared Roberta BardiniiD· 1 shared Stefano Di CarloiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Alessandro SavinoORCID

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1 paper

Recent·Most cited

Spike Train Scalograms (STS): a Deep Learning Classification Pipeline for Neuronal Cell Types

Gianluca Amprimo, Lorenzo Martini, Begum Bilir, Roberta Bardini, Alessandro Savino, Gabriella Olmo, Stefano Di Carlo

The paper introduces a deep learning pipeline using wavelet transforms to classify neuronal cell types from electrophysiological data with high accuracy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · Jul 14, 2025Peer-reviewedBioinformatics