Author

Sibel Çimen

Yıldız Technical UniversityORCID 0000-0003-3790-7362Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Abdulkerim ÇapariD· 1 shared Behçet Uğur TöreyıniD· 1 shared Bilal E. KermaniD· 1 shared Dursun Ali EkinciiD· 1 shared Umut Engin AyteniD· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperNeuroscience

Abdulkerim ÇaparORCID

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1 paper

Recent·Most cited

NeuroscienceEuropean Signal Processing Conference (EUSIPCO)Peer-reviewedSep 1, 2018

DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images

Sibel Çimen, Abdulkerim Çapar, Dursun Ali Ekinci…·Behçet Uğur Töreyın

DeepMQ quantifies myelin sheaths in fluorescence images of mouse stem cell-derived cells with 93.38% accuracy using a feature extraction and deep learning classification approach.

5 citations

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