Author

C. Saillard

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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Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

A. Kamoun· 2 shared B. Schmauch· 2 shared P. Courtiol· 2 shared A. Bardier-Dupas· 1 shared A. de Lavergne· 1 shared A. Jacquet· 1 shared A. Jaeger· 1 shared A. Sarrazin· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersPathology

A. Kamoun

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Author profile →

2 papers

Recent·Most cited

Deep Learning Allows Assessment of Risk of Metastatic Relapse from Invasive Breast Cancer Histological Slides

I. Garberis, V. Gaury, C. Saillard, D. Drubay, K. Elgui, B. Schmauch, A. Jaeger, L. Herpin, J. Linhart, M. Sapateiro, F. Bernigole, A. Kamoun, E. Bendjebbar, A. de Lavergne, R. Dubois, , M. Lacroix-Triki

This paper develops a deep learning model to assess metastatic relapse risk in ER+/HER2-negative breast cancer patients using histological slides, showing improved prognostic performance over clinical factors.

bioRxiv · Nov 28, 2022Pathology

PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides

C. Saillard, F. Delecourt, B. Schmauch, O. Moindrot, M. Svrcek, A. Bardier-Dupas, J.-F. Emile, M. Ayadi, V. Rebours, L. de Mestier, P. Hammel, C. Neuzillet, J.-B. Bachet, J. Iovanna, N. Dusetti, , J. Cros

PACpAInt uses deep learning to identify molecular subtypes of pancreatic adenocarcinoma on histology slides, revealing prognostic heterogeneity and novel subtypes.

bioRxiv · Jan 4, 2022 · PreprintCancer Biology