Ruben Sanchez-Romero
Ruben Sanchez-Romero
Rutgers-Newark Center for Molecular and Behavioral Neuroscience
Verified email at rutgers.edu - Homepage
Title
Cited by
Cited by
Year
A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic …
J Ramsey, M Glymour, R Sanchez-Romero, C Glymour
International journal of data science and analytics 3 (2), 121-129, 2017
632017
Non-Gaussian methods and high-pass filters in the estimation of effective connections
JD Ramsey, R Sanchez-Romero, C Glymour
Neuroimage 84, 986-1006, 2014
402014
Advancing functional connectivity research from association to causation
AT Reid, DB Headley, RD Mill, R Sanchez-Romero, LQ Uddin, ...
Nature neuroscience 1 (10), 2019
172019
Behind distribution shift: Mining driving forces of changes and causal arrows
B Huang, K Zhang, J Zhang, R Sanchez-Romero, C Glymour, B Schölkopf
2017 IEEE International Conference on Data Mining (ICDM), 913-918, 2017
112017
Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods
R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ...
Network Neuroscience 3 (2), 274-306, 2019
72019
Causal discovery of feedback networks with functional magnetic resonance imaging
R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ...
bioRxiv, 245936, 2018
52018
Diagnosis of autism spectrum disorder by causal influence strength learned from resting-state fMRI data
B Huang, K Zhang, R Sanchez-Romero, J Ramsey, M Glymour, ...
arXiv preprint arXiv:1902.10073, 2019
32019
Causal discovery from heterogeneous/nonstationary data
B Huang, K Zhang, J Zhang, J Ramsey, R Sanchez-Romero, C Glymour, ...
arXiv preprint arXiv:1902.10073, 2019
22019
Causal Discovery from Heterogeneous/Nonstationary Data
B Huang, K Zhang, J Zhang, J Ramsey, R Sanchez-Romero, C Glymour, ...
arXiv preprint arXiv:1903.01672, 2019
12019
TETRAD—A toolbox for causal discovery
JD Ramsey, K Zhang, M Glymour, RS Romero, B Huang, I Ebert-Uphoff, ...
8th International Workshop on Climate Informatics, 2018
12018
Identification of Effective Connectivity Subregions
R Sanchez-Romero, JD Ramsey, K Zhang, C Glymour
arXiv preprint arXiv:1908.03264, 2019
2019
Combining multiple functional connectivity methods to improve causal inferences
R Sanchez-Romero, MW Cole
bioRxiv, 841890, 2019
2019
Underdetermination, behavior and the brain
C Glymour, R Sanchez-Romero
The Routledge Handbook of the Computational Mind, 2018
2018
Identification of Mechanisms of Functional Signaling Between Human Hippocampus Regions
R Sanchez-Romero, JD Ramsey, JC Liang, C Glymour
bioRxiv, 099820, 2017
2017
Estimation of Voxelwise Effective Connectivities: Applications to High Connectivity Sub-Regions within Hippocampal and within Corticostriatal Networks
R Sanchez-Romero, JD Ramsey, JC Liang, K Jarbo, C Glymour
bioRxiv, 039057, 2016
2016
Abstracts Fourth Biennial Conference on Resting State Brain Connectivity September 11–13, 2014 Boston/Cambridge, Massachusetts, USA
SA Anteraper, C Triantafyllou, MR Geddes, AT Mattfeld, J Gabrieli, ...
Brain Connectivity 4 (9), A1-A158, 2014
2014
Formation of Variables for Brain Connectivity
RS Romero
2012
Supplementary Material A The FASK Algorithm
R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ...
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