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20212024
most citedIdentification of Rare Cortical Folding Patterns using Unsupervised Deep Learning

9 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CV2024

Separating common from salient patterns with Contrastive Representation Learning

Robin Louiset, Edouard Duchesnay, Antoine Grigis +1

Contrastive Analysis is a sub-field of Representation Learning that aims at separating common factors of variation between two datasets, a background (i.e., healthy subjects) and a…

cs.CV2023

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones

Robin Louiset, Edouard Duchesnay, Antoine Grigis +2

Contrastive Analysis VAE (CA-VAEs) is a family of Variational auto-encoders (VAEs) that aims at separating the common factors of variation between a background dataset (BG) (i.e.,…