Author

Dursun Ali Ekinci

Istanbul Technical UniversityORCID 0000-0001-5475-8915Unclaimed 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 Sibel ÇimeniD· 1 shared Umut Engin AyteniD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Abdulkerim ÇaparORCID

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1 paper

Recent·Most cited

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

Sibel Çimen, Abdulkerim Çapar, Dursun Ali Ekinci, Umut Engin Ayten, Bilal E. Kerman, 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.

European Signal Processing Conference (EUSIPCO) · Sep 1, 2018Peer-reviewedNeuroscience