Author

Maryam Karimi

Université Paris-SaclayORCID 0000-0003-3301-8795Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Maryam Karimi1 paper · Technical University of Munich

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 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alice BlondeliD· 1 shared Aurélien de ReynièsiD· 1 shared Christian PfisteriD· 1 shared Clarice S. GroeneveldiD· 1 shared Clémentine Krucker· 1 shared Isabelle Bernard‐PierrotiD· 1 shared Jacqueline FontugneiD· 1 shared Melissa Da Silva· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Alice BlondelORCID

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1 paper

Recent·Most cited

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

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