314-DeepCor: Contrastive Autoencoders for fMRI Denoising

Paper Talk · Dec 13, 2025 · 12m

This research introduces DeepCor, a novel method for denoising functional magnetic resonance imaging (fMRI) data, which addresses the issue of noise obscuring meaningful neural patterns. DeepCor utilizes a contrastive variational autoencoder (CVAE), a form of deep generative model, to disentangle neural signal features (from regions of interest, ROI) from common noise features (shared with regions of no interest, RONI). Evaluation demonstrated that DeepCor significantly surpassed traditional and other deep-learning denoising techniques, achieving a 339% improvement over the CompCor method in…