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Deep Dynamic Effective Connectivity Estimation from Multivariate Time
  Series

Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series

4 February 2022
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
ArXivPDFHTML

Papers citing "Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series"

4 / 4 papers shown
Title
Graph-in-Graph (GiG): Learning interpretable latent graphs in
  non-Euclidean domain for biological and healthcare applications
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Mullakaeva
Luca Cosmo
Anees Kazi
Seyed-Ahmad Ahmadi
Nassir Navab
Michael M. Bronstein
12
6
0
01 Apr 2022
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
S. Gadgil
Qingyu Zhao
A. Pfefferbaum
E. Sullivan
Ehsan Adeli
K. Pohl
53
150
0
24 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,230
0
24 Nov 2016
1