| 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, 121-129, 2017 | 306 | 2017 |
| Advancing functional connectivity research from association to causation AT Reid, DB Headley, RD Mill, R Sanchez-Romero, LQ Uddin, ... Nature neuroscience 22 (11), 1751-1760, 2019 | 235 | 2019 |
| Causal discovery from heterogeneous/nonstationary data B Huang, K Zhang, J Zhang, J Ramsey, R Sanchez-Romero, C Glymour, ... The Journal of Machine Learning Research 21 (1), 3482-3534, 2020 | 149 | 2020 |
| The functional relevance of task-state functional connectivity MW Cole, T Ito, C Cocuzza, R Sanchez-Romero Journal of Neuroscience 41 (12), 2684-2702, 2021 | 67 | 2021 |
| 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, 29, 2018 | 61 | 2018 |
| 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 | 60 | 2014 |
| 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 | 58 | 2019 |
| Combining multiple functional connectivity methods to improve causal inferences R Sanchez-Romero, MW Cole Journal of cognitive neuroscience 33 (2), 180-194, 2021 | 38 | 2021 |
| 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 | 27 | 2017 |
| Diagnosis of autism spectrum disorder by causal influence strength learned from resting-state fMRI data B Huang Neural Engineering Techniques for Autism Spectrum Disorder, 237-267, 2021 | 16 | 2021 |
| Causal discovery of feedback networks with functional magnetic resonance imaging R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ... bioRxiv, 245936, 2018 | 11 | 2018 |
| Identification of effective connectivity subregions R Sanchez-Romero, JD Ramsey, K Zhang, C Glymour arXiv preprint arXiv:1908.03264, 2019 | 3 | 2019 |
| Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations R Sanchez-Romero, T Ito, RD Mill, SJ Hanson, MW Cole NeuroImage 278, 120300, 2023 | 1 | 2023 |
| Protocol for activity flow mapping of neurocognitive computations using the Brain Activity Flow Toolbox CV Cocuzza, R Sanchez-Romero, MW Cole STAR protocols 3 (1), 101094, 2022 | 1 | 2022 |
| Underdetermination, behavior and the brain C Glymour, R Sanchez-Romero The Routledge Handbook of the Computational Mind, 2018 | 1 | 2018 |
| Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees B Andrews, J Ramsey, R Sanchez-Romero, J Camchong, E Kummerfeld arXiv preprint arXiv:2310.17679, 2023 | | 2023 |
| OPEN ACCESS EDITED AND REVIEWED BY MO Heller, B Borotikar, B Borotikar, TEM Mutsvangwa, SY Elhabian, ... Statistical model-based computational biomechanics: Applications in joints …, 2023 | | 2023 |
| Brain connectivity, dynamics, and complexity SJ Hanson, R Sanchez-Romero, PA Valdes-Sosa, BB Biswal Frontiers Media SA, 2023 | | 2023 |
| Regularized partial correlation provides reliable functional connectivity estimates while correcting for widespread confounding KL Peterson, R Sanchez-Romero, RD Mill, MW Cole bioRxiv, 2023.09. 16.558065, 2023 | | 2023 |
| Distributed network processes account for the majority of variance in localized visual category selectivity CV Cocuzza, R Sanchez-Romero, T Ito, RD Mill, BP Keane, MW Cole bioRxiv, 2022.02. 19.481103, 2022 | | 2022 |
Joseph RamseyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
