Author

Maris‐Johanna Tahk

University of TartuORCID 0000-0002-4566-9192Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1

Frequent Co-Authors

Ago RinkeniD· 1 shared Dmytro FishmaniD· 1 shared Jane TorpiD· 1 shared Kaspar HolloiD· 1 shared Kaupo PaloiD· 1 shared Leopold PartsiD· 1 shared Mohammed A. S. AliiD· 1 shared Tõnis LaasfeldiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Ago RinkenORCID

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1 paper

Recent·Most cited

ArtSeg: Rapid Artifact Segmentation and Removal in Brightfield Cell Microscopy Images

Mohammed A. S. Ali, Kaspar Hollo, Tõnis Laasfeld, Jane Torp, Maris‐Johanna Tahk, Ago Rinken, Kaupo Palo, Leopold Parts, Dmytro Fishman

ArtSeg uses a deep learning model to automatically segment and remove artifacts from brightfield microscopy images using image-level labels, improving downstream analysis without requiring pixel-level annotations.

Scientific Reports · Jul 6, 2022Peer-reviewedBioinformatics