Author

Tristan Lazard

InsermORCID 0000-0002-3553-768XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Anne Vincent‐SalomoniD· 2 shared Thomas WalteriD· 2 shared Anne‐Sophie HamyiD· 1 shared Étienne DecencièreiD· 1 shared Fabien ReyaliD· 1 shared Guillaume BatailloniD· 1 shared Manuel Jorge RodriguesiD· 1 shared Marc‐Henri SterniD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Anne Vincent‐SalomonORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Democratizing computational pathology: optimized Whole Slide Image representations for The Cancer Genome Atlas

Tristan Lazard, Marvin Lerousseau, Sophie Gardrat, Anne Vincent‐Salomon, Marc‐Henri Stern, Manuel Jorge Rodrigues, Étienne Decencière, Thomas Walter

This paper introduces Giga-SSL, a self-supervised method for learning Whole Slide Image representations from The Cancer Genome Atlas data, improving classification performance and enabling efficient analysis.

bioRxiv · Dec 4, 2023 · PreprintBioinformatics

Neural network for the prediction of treatment response in triple negative breast cancer

Peter Naylor, Tristan Lazard, Guillaume Bataillon, Marick E Lae, Anne Vincent‐Salomon, Anne‐Sophie Hamy, Fabien Reyal, Thomas Walter

The paper proposes a modified cross-validation approach and a new neural network architecture for treatment response prediction in small Triple Negative Breast Cancer cohorts.

bioRxiv · Jan 31, 2022 · PreprintBioinformatics