Co-occurring keywords · papers mentioning both
Papers
A comprehensive benchmark of graph neural networks, graph kernels, and classical machine learning approaches on rs-fMRI brain graphs
MIDL 2026
Predicting Task fMRI Contrasts from Resting-State fMRI Using Sparse 3D Convolutions
WACV 2026
Extracting the Multiscale Causal Backbone of Brain Dynamics
CLeaR 2024
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI
AAAI 2019
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
NeurIPS 2010
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
NeurIPS 2009