Author

Koraly Lessard

Université Laval

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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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Andréanne DeschênesiD· 1 shared Anthony BilodeauiD· 1 shared Christian GagnéiD· 1 shared Flavie Lavoie‐CardinaliD· 1 shared Frédéric BeaupréiD· 1 shared Jean-Michel Bellavance· 1 shared Julia ChabbertiD· 1 shared Kamylle ThériaultiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andréanne DeschênesORCID

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1 paper

Recent·Most cited

A Self-Supervised Foundation Model for Robust and Generalizable Representation Learning in STED Microscopy

Anthony Bilodeau, Frédéric Beaupré, Julia Chabbert, Kamylle Thériault, Andréanne Deschênes, Jean-Michel Bellavance, Koraly Lessard, Renaud Bernatchez, Paul De Koninck, Christian Gagné, Flavie Lavoie‐Cardinal

This paper introduces STED-FM, a foundation model for STED microscopy that learns robust representations without extensive annotations, improving downstream tasks like classification, segmentation, and image denoising.

bioRxiv · Jun 6, 2025 · PreprintBioinformatics