Author

S. Legendre

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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Ecology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

A. Camoirano· 1 shared D. H. Milone· 1 shared D. McCandlish· 1 shared E. Akcay· 1 shared E. Ferrante· 1 shared E. Lambert· 1 shared F. Ariel· 1 shared F. Bienvenu· 1 shared

Activity by Year

2016-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant Biology

A. Camoirano

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2 papers

Recent·Most cited

ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture

N. Gaggion, F. Ariel, V. Daric, E. Lambert, S. Legendre, T. Roule, A. Camoirano, D. H. Milone, M. Crespi, T. Blein, E. Ferrante

ChronoRoot uses deep segmentation networks and 3D-printed hardware to enable high-temporal-resolution root phenotyping, revealing new time-related root growth parameters.

bioRxiv · Oct 27, 2020Plant Biology

The genealogical decomposition of a matrix population model with applications to the aggregation of stages

F. Bienvenu, E. Akcay, S. Legendre, D. McCandlish

This paper decomposes matrix population models into a triple of components and introduces a method to aggregate stages while preserving key demographic properties.

bioRxiv · Aug 4, 2016Ecology