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20212024
most citedOptimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging

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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…