Author

Kamylle Thériault

Université LavalORCID 0009-0004-0423-0759Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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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 Koraly Lessard· 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

BioinformaticsbioRxivPreprintJun 6, 2025

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

Anthony Bilodeau, Frédéric Beaupré, Julia Chabbert…·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.

3 citations

imagingdeep learning

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