Author

Martin Schilling

Universitätsmedizin Göttingen

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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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 Research Focus:software / tool· 1 Organism:zebrafish· 1

Frequent Co-Authors

Aleyna Miraç Diniz· 1 shared Anupriya ThirumalaiiD· 1 shared Constantin PapeiD· 1 shared Elisabeth KoertiD· 1 shared Jan HuiskeniD· 1 shared Kathrin KuschiD· 1 shared Lennart RoosiD· 1 shared Mara UhliD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Aleyna Miraç Diniz

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1 paper

Recent·Most cited

CochleaNet: deep learning-based image analysis for cochlear connectomics and gene therapy

Lennart Roos, Aleyna Miraç Diniz, Elisabeth Koert, Martin Schilling, Mara Uhl, Anupriya Thirumalai, Mostafa Aakhte, Kathrin Kusch, Jan Huisken, Tobias Moser, Constantin Pape

CochleaNet is a deep learning framework for analyzing cochlea imaging data, enabling segmentation and analysis of cochlear structures and gene therapy products.

bioRxiv · Nov 16, 2025 · PreprintNeuroscience