Author

Arnaud Scherpereel

Université de LilleORCID 0000-0002-7607-1863Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Fabien ForestiD· 1 shared Farzaneh SeyedshahiiD· 1 shared Francesca DamiolaiD· 1 shared John P. C. Le QuesneiD· 1 shared Ke YuaniD· 1 shared Ruth SequeirosiD· 1 shared Sylvie LantuéjouliD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

Fabien ForestORCID

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1 paper

Recent·Most cited

Self-Supervised AI Discovery of Histomorphological Phenotypes from Routine Mesothelioma Biopsies

Farzaneh Seyedshahi, Francesca Damiola, Ruth Sequeiros, Fabien Forest, Arnaud Scherpereel, Ke Yuan, Sylvie Lantuéjoul, John P. C. Le Quesne

This paper uses self-supervised learning to discover histomorphological phenotypes from mesothelioma biopsies, linking tissue patterns to molecular and clinical outcomes.

bioRxiv · Sep 10, 2026 · PreprintCancer Biology