Author

Giles Tetteh

Technical University of Munich

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

Frequent Co-Authors

Ali ErtürkiD· 1 shared Bjoern H. MenzeiD· 1 shared Johannes Christian PaetzoldiD· 1 shared Katalin VölgyiiD· 1 shared Marco DueringiD· 1 shared Marie PiraudiD· 1 shared Martin DichgansiD· 1 shared Mihail Ivilinov TodoroviD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Ali ErtürkORCID

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1 paper

Recent·Most cited

Automated analysis of whole brain vasculature using machine learning

Mihail Ivilinov Todorov, Johannes Christian Paetzold, Oliver Schoppe, Giles Tetteh, Velizar Efremov, Katalin Völgyi, Marco Duering, Martin Dichgans, Marie Piraud, Bjoern H. Menze, Ali Ertürk

The paper develops a deep learning framework to analyze whole brain vasculature in cleared mouse brains, revealing new insights into vascular architecture and collateralization.

bioRxiv · Apr 18, 2019 · PreprintNeuroscience