Author

Gilles Wainrib

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Thomas ClozeliD· 2 shared Alberto RomagnoniiD· 1 shared Benoît SchmauchiD· 1 shared Charlie SaillardiD· 1 shared Elodie Pronier· 1 shared Julien CaldéraroiD· 1 shared Matahi MoariiiD· 1 shared Meriem SeftaiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Thomas ClozelORCID

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2 papers

Recent·Most cited

Transcriptomic learning for digital pathology

Benoît Schmauch, Alberto Romagnoni, Elodie Pronier, Charlie Saillard, Pascale Maillé, Julien Caldéraro, Meriem Sefta, Sylvain Toldo, Mikhail Zaslavskiy, Thomas Clozel, Matahi Moarii, Pierre Courtiol, Gilles Wainrib

This paper introduces HE2RNA, a deep learning model that predicts RNA-Seq profiles from histology slides without expert annotation, showing improved performance in predicting microsatellite instability.

bioRxiv · Oct 11, 2019 · PreprintBioinformatics

Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an \"explainable AI\" mindset

Paul Hérent, Simon Jégou, Gilles Wainrib, Thomas Clozel

This paper develops a preprocessing pipeline and deep learning models to predict brain age from MRI data, finding significant correlations and demonstrating model interpretability.

bioRxiv · Sep 10, 2018 · PreprintNeuroscience