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A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data., , , and . EMBC, page 5537-5540. IEEE, (2018)Globally conditioned causality in estimating directed brain-heart interactions through joint MRI and RR series analysis., , , , , , and . EMBC, page 3795-3798. IEEE, (2015)Distribution-aware estimation of the minimum achievable uncertainty in diffusion-tensor imaging (DTI)., , , , , and . EMBC, page 5541-5544. IEEE, (2016)Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches., , , , , and . EMBC, page 4367-4370. IEEE, (2017)The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow., , , , , , and . NeuroImage, (2019)A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations., , , , , , , and . Entropy, 21 (7): 629 (2019)Resting-state brain correlates of instantaneous autonomic outflow., , , , , , and . EMBC, page 3325-3328. IEEE, (2017)A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease., , , , and . EMBC, page 1271-1274. IEEE, (2018)Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain., , , , , and . Entropy, 21 (7): 661 (2019)Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems., , , , , , , and . EMBC, page 137-140. IEEE, (2016)