Author

Julien Laval

Centre National de la Recherche ScientifiqueORCID 0009-0009-1577-466XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Julien Laval1 paper · New York Genome Center

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Antoine DufournetiD· 1 shared Clara FischeriD· 1 shared Denis RivièreiD· 1 shared Jean‐François ManginiD· 1 shared Joël ChavasiD· 1 shared Vincent FrouiniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperGenomics

Antoine DufournetORCID

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintSep 18, 2026

Self-supervised representations reveal the genetic architecture of human cortical folding

Antoine Dufournet, Julien Laval, Joël Chavas…·Jean‐François Mangin

The paper uses self-supervised deep learning representations of cortical folding to identify more genetic loci associated with cortical shape than classical morphometry in a large cohort.

DOI 10.64898/2026.07.23.740040

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