Author

Abigail M. Smith

University of OtagoORCID 0000-0001-6468-9124Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andrea WaeschenbachiD· 1 shared Arthur PortoiD· 1 shared Björn BerningiD· 1 shared Dennis P.‏ GordoniD· 1 shared Emanuela Di MartinoiD· 1 shared Henrique L Ribeiro· 1 shared Kjetil Lysne VojeiD· 1 shared Lee Hsiang LiowiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrea WaeschenbachORCID

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1 paper

Recent·Most cited

DeepBryo: a web app for AI-assisted morphometric characterization of cheilostome bryozoans

Emanuela Di Martino, Björn Berning, Dennis P.‏ Gordon, Piotr Kukliński, Lee Hsiang Liow, Mali H. Ramsfjell, Henrique L Ribeiro, Abigail M. Smith, Paul David Taylor, Kjetil Lysne Voje, Andrea Waeschenbach, Arthur Porto

DeepBryo is a web app that uses deep learning to automate morphometric analysis of cheilostome bryozoans, achieving high accuracy and reducing manual effort.

Limnology and Oceanography Methods · Jul 4, 2023Peer-reviewedBioinformatics