Author

Stergios Christodoulidis

Université Paris-SaclayORCID 0000-0002-8773-1070Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 3 Assay:spatial transcriptomics· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:experimental assay· 1

Frequent Co-Authors

Paul-Henry CournèdeiD· 3 shared Quentin BlampeyiD· 3 shared Félicie Giraud-SauveuriD· 2 shared Hakim BenkiraneiD· 2 shared Arianna MarinelloiD· 1 shared Charles‐Antoine DutertreiD· 1 shared Fabrice AndréiD· 1 shared Florent GinhouxiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Paul-Henry CournèdeORCID

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Author profile →

3 papers

Recent·Most cited

ALHENA, an H&E encoder distilled from transcriptomic foundation models for multi-scale slide analysis

Félicie Giraud-Sauveur, Quentin Blampey, Pierre Marza, Hakim Benkirane, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis

ALHENA improves transcriptomic signature prediction and cell-type separability using H&E images alone, without requiring spatial transcriptomics data.

bioRxiv · Oct 25, 2026 · PreprintBioinformatics

STHELAR, a multi-tissue dataset linking spatial transcriptomics and histology for cell type annotation

Félicie Giraud-Sauveur, Quentin Blampey, Hakim Benkirane, Arianna Marinello, Paul-Henry Cournède, Stergios Christodoulidis

The paper introduces STHELAR, a multi-tissue dataset integrating spatial transcriptomics and H&E images for cell type annotation in cancer research.

Scientific Data · Mar 12, 2026Peer-reviewedCell Biology

Sopa: a technology-invariant pipeline for analyses of image-based spatial-omics

Quentin Blampey, Kevin Mulder, Margaux Gardet, Stergios Christodoulidis, Charles‐Antoine Dutertre, Fabrice André, Florent Ginhoux, Paul-Henry Cournède

Sopa provides a technology-invariant pipeline for analyzing image-based spatial-omics data, offering unified visualization and analysis tools.

Nature Communications · Jun 11, 2024Peer-reviewedBioinformatics