Artemis: Anatomy-Resolved inTervention for Eliminating Multimodal NeuroImage confounderS

In three linesArtemis is a causal framework for graph neural networks addressing demographic confounders (age, sex) in multimodal brain imaging (fMRI + DTI). The method applies causal interventions at each brain region independently to learn invariant representations. Tested on ADNI, OASIS, and HCP benchmarks, it improves disease diagnosis and classification tasks.

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