Author

Paul V. Watkins

Center of Advanced European Studies and ResearchORCID 0000-0002-2561-3458Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:zebrafish· 1

Frequent Co-Authors

A.M. IvanenkoiD· 1 shared Bernhard EnglitziD· 1 shared Kara A. FultoniD· 1 shared Kevin L. BriggmaniD· 1 shared Kurt HammerschmidtiD· 1 shared Marcel A. J. van GerveniD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperBioinformatics

A.M. IvanenkoORCID

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2 papers

Recent·Most cited

NeuroscienceCell Reports MethodsPeer-reviewedMar 1, 2024

GAUSS-EM: Guided accumulation of ultrathin serial sections with a static magnetic field for volume electron microscopy

Kara A. Fulton, Paul V. Watkins, Kevin L. Briggman

GAUSS-EM is a high-throughput method for serial sectioning electron microscopy that efficiently collects and packs thousands of ultrathin sections onto silicon wafers, enabling large 3D EM volumes with high resolution and low cost.

13 citations

zebrafishmouse

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BioinformaticsPLoS Computational BiologyPeer-reviewedJun 22, 2020

Classification of mouse ultrasonic vocalizations using deep learning

A.M. Ivanenko, Paul V. Watkins, Marcel A. J. van Gerven…·Bernhard Englitz

This paper uses deep learning to classify mouse ultrasonic vocalizations by sex, achieving 84% accuracy compared to 64% and 52% with other methods.

45 citationstop 2%

mousedeep learning

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