Benoît Schmauch
6PUBLICATIONS
38CO-AUTHORS
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Publications (6)
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|Nov 27, 2025
A deep learning-based multiscale integration of spatial omics with tumor morphology.Benoît Schmauch, Loïc Herpin, Antoine Olivier
|Jul 02, 2025
Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides.I Garberis, V Gaury, C Saillard
|Jul 24, 2023
Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor.Yu Fu, Marie Karanian, Raul Perret
|Jun 13, 2023
Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.Charlie Saillard, Flore Delecourt, Benoit Schmauch
|Jan 19, 2023
Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer.Jean Ogier du Terrail, Armand Leopold, Clément Joly
|Aug 05, 2020
A deep learning model to predict RNA-Seq expression of tumours from whole slide images.Benoît Schmauch, Alberto Romagnoni, Elodie Pronier
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Frequent Collaborators
3 joint publications
Aurélie Kamoun
2 joint publications
Jean-François Emile
2 joint publications
Charlie Saillard
2 joint publications
Damien Drubay
2 joint publications
Loïc Herpin
2 joint publications
Jean Ogier du Terrail
2 joint publications
Magali Lacroix-Triki
1 joint publications
I Garberis
1 joint publications
A Jaeger
1 joint publications
J Linhart
