Author

M. Wöllhaf

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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Animal Behavior & Cognition· 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

C. Thöne-Reineke· 1 shared K. Hohlbaum· 1 shared L. Lewejohann· 1 shared N. Andresen· 1 shared O. Hellwich· 1 shared V. Belik· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

C. Thöne-Reineke

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1 paper

Recent·Most cited

Animal Behavior & CognitionPLOS ONEPeer-reviewedApr 15, 2020

Towards a fully automated surveillance of well-being status in laboratory mice using deep learning

N. Andresen, M. Wöllhaf, K. Hohlbaum…·V. Belik

This paper develops a semi-automated system to assess mouse well-being using deep learning, achieving up to 99% accuracy in pain/no-pain classification.

DOI 10.1371/journal.pone.0228059

mouseimaging

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