Author

Maxime Gestin

Stockholm UniversityORCID 0000-0002-4164-166XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Alix Le MaroisiD· 1 shared Emma LatroniD· 1 shared Erik A. SahaiiD· 1 shared Inês CunhaiD· 1 shared Juliette GriffiéiD· 1 shared Luca PanconiiD· 1 shared Sebastian BaueriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alix Le MaroisORCID

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1 paper

Recent·Most cited

AI4CellFate: Interpretable Early Cell Fate Prediction with Generative AI

Inês Cunha, Luca Panconi, Sebastian Bauer, Maxime Gestin, Emma Latron, Erik A. Sahai, Alix Le Marois, Juliette Griffié

AI4CellFate predicts cell fate from microscopy timelapses using generative AI and contrastive learning, enabling early prediction with limited annotation.

bioRxiv · May 12, 2025 · PreprintBioinformatics