Author

Gaëtan Gruel

Institut de Radioprotection et de Sûreté NucléaireORCID 0000-0001-7856-818XUnclaimed 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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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Antonin Deschemps· 1 shared Aurélie VaurijouxiD· 1 shared Charles Kervrann AiD· 1 shared Delphine Dugué· 1 shared Emmanuel MoebeliD· 1 shared Eric GrégoireiD· 1 shared Juan S. Martinez· 1 shared Laure BobykiD· 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

Antonin Deschemps

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 11, 2023

Ensembling Unets, sparse representation and low dimensional visualization for rare chromosomal aberration detection in light microscopy images

Antonin Deschemps, Eric Grégoire, Juan S. Martinez…·Charles Kervrann A

The paper develops an automated system for detecting rare chromosomal aberrations in microscopy images using deep learning, sparse representation, and dimensionality reduction, achieving improved performance over existing methods.

DOI 10.1101/2023.09.11.557124

humanimaging

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