Author

M. LESAGE

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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Cell Biology· 1

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

J. BUGEON· 1 shared M. THOMAS· 1 shared T. PECOT· 1 shared V. THERMES· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperCell Biology

J. BUGEON

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1 paper

Recent·Most cited

An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of Medaka ovaries

M. LESAGE, V. THERMES, J. BUGEON, M. THOMAS, T. PECOT

The paper develops an end-to-end pipeline using open-source deep learning tools to analyze complex 3D fluorescent images of Medaka ovaries for accurate quantitative measurement of ovarian content.

bioRxiv · Aug 3, 2022 · PreprintCell Biology