Author

C. Cazorla

Centre National de la Recherche Scientifique

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:clustering· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Alicia Lobeto· 1 shared Arild Christian RustaniD· 1 shared Axel LabouriD· 1 shared Benjamin LairiD· 1 shared Cédric MoroiD· 1 shared Claire LaurensiD· 1 shared Lorenzo Couloutchy· 1 shared Pierre Olivier WeissiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

Alicia Lobeto

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1 paper

Recent·Most cited

MyoFuse: A fully AI-based workflow for automated quantification of skeletal muscle cell fusion in vitro

Benjamin Lair, C. Cazorla, Alicia Lobeto, Axel Labour, Lorenzo Couloutchy, Claire Laurens, Arild Christian Rustan, Thomas Chaillou, Pierre Olivier Weiss, Remy Flores-Flores, Cédric Moro

MyoFuse is an AI-based workflow that accurately quantifies the myogenic fusion index in skeletal muscle cells by improving nucleus segmentation and classification.

Scientific Reports · Feb 17, 2026Peer-reviewedCell Biology