Author

Alice Blondel

InsermORCID 0000-0002-5826-0310Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Thomas WalteriD· 2 shared Anthony ColéoniD· 1 shared Aurélien de ReynièsiD· 1 shared Christian PfisteriD· 1 shared Clarice S. GroeneveldiD· 1 shared Clémentine Krucker· 1 shared Florian MuelleriD· 1 shared Guilherme Dias de MeloiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Thomas WalterORCID

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2 papers

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedJan 30, 2026

RNA2seg: a generalist model for cell segmentation in image-based spatial transcriptomics

Thomas Defard, Alice Blondel, Sébastien Bellow…·Florian Mueller

RNA2seg is a cell segmentation model for spatial transcriptomics trained on MERFISH and CosMx data, showing superior performance in zero-shot and few-shot settings.

4 citationstop 3%

humanspatial transcriptomics

𝕏 PostBluesky

Cancer BiologybioRxivPreprintOct 23, 2025

Deep Learning Bridges Histology and Transcriptomics to Predict Molecular Subtypes and Outcomes in Muscle-Invasive Bladder Cancer

Alice Blondel, Clémentine Krucker, Valentin Harter…·Jacqueline Fontugne

This paper develops a deep learning model to predict molecular subtypes and outcomes in muscle-invasive bladder cancer using histopathological images instead of RNA sequencing.

DOI 10.1101/2025.10.23.684013

humanspatial transcriptomics

𝕏 PostBluesky