Author

Anaïs Badoual

Centre National de la Recherche ScientifiqueORCID 0000-0001-7303-6344Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

Charles Kervrann AiD· 2 shared Cesar Augusto Valades‐CruziD· 1 shared Jean SalameroiD· 1 shared Julien DumontiD· 1 shared Ludovic LeconteiD· 1 shared Quentin RapillyiD· 1 shared Salomé PapereuxiD· 1 shared Tianyan LiuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Charles Kervrann AORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 6, 2026

Deep Learning-Meets-Active Surfaces: A Unified Framework for Multi-Object Segmentation and Shape Analysis in 3D Fluorescence Microscopy

Quentin Rapilly, Anaïs Badoual, You-Hsuan Liu, Charles Kervrann A

This paper introduces Nagini3D, a 3D image segmentation method combining deep learning and active surfaces for improved shape analysis and consistency across 3D volumes.

DOI 10.64898/2026.09.30.755627

imagingdeep learning

𝕏 PostBluesky

BioinformaticsCommunications BiologyPeer-reviewedFeb 26, 2025

DeepCristae, a CNN for the restoration of mitochondria cristae in live microscopy images

Salomé Papereux, Ludovic Leconte, Cesar Augusto Valades‐Cruz…·Anaïs Badoual

DeepCristae restores mitochondria cristae in low-resolution microscopy images using a CNN trained on STED data and specialized loss functions.

6 citations

imagingdeep learning

𝕏 PostBluesky