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Mark W Woolrich

Showing results (21-30 of 147) with videos related to

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IEEE Transactions on Medical Imaging|March 9, 2011
Using Gaussian-process regression for meta-analytic neuroimaging inference based on sparse observationsGholamreza Salimi-Khorshidi, Thomas E Nichols, Stephen M Smith, et al.
Imaging Neuroscience (Cambridge, Mass.)|May 29, 2026
Modelling discrete states and long-term dynamics in functional brain networksSungJun Cho, Rukuang Huang, Chetan Gohil, et al.
Journal of Neurophysiology|October 6, 2021
Automatic decomposition of electrophysiological data into distinct nonsinusoidal oscillatory modesMarco S Fabus, Andrew J Quinn, Catherine E Warnaby, et al.
Cerebral Cortex (New York, N.Y. : 1991)|March 11, 2026
The role of age in the relationship between brain structure and cognition: moderator or confound?Ben Griffin, Chetan Gohil, Mark W Woolrich, et al.
Magnetic Resonance in Medicine|September 12, 2006
Bayesian inference of hemodynamic changes in functional arterial spin labeling dataMark W Woolrich, Peter Chiarelli, Daniel Gallichan, et al.
Neuroimage|October 12, 2010
Linked independent component analysis for multimodal data fusionAdrian R Groves, Christian F Beckmann, Steve M Smith, et al.
Neuroimage|February 25, 2018
Disambiguating brain functional connectivityEugene P Duff, Tamar Makin, Michiel Cottaar, et al.
Biological Psychiatry|July 31, 2007
Knowing when to stop: the brain mechanisms of chasing lossesDaniel K Campbell-Meiklejohn, Mark W Woolrich, Richard E Passingham, et al.
IEEE Transactions on Medical Imaging|January 11, 2005
Mixture models with adaptive spatial regularization for segmentation with an application to FMRI dataMark W Woolrich, Timothy E J Behrens, Christian F Beckmann, et al.
Frontiers in Neuroscience|March 10, 2025
osl-ephys: a Python toolbox for the analysis of electrophysiology dataMats W J van Es, Chetan Gohil, Andrew J Quinn, et al.
Pageof 15

Showing results (21-30 of 147) with videos related to

Sort By:
Pageof 15
IEEE Transactions on Medical Imaging|March 9, 2011
Using Gaussian-process regression for meta-analytic neuroimaging inference based on sparse observationsGholamreza Salimi-Khorshidi, Thomas E Nichols, Stephen M Smith, et al.
Imaging Neuroscience (Cambridge, Mass.)|May 29, 2026
Modelling discrete states and long-term dynamics in functional brain networksSungJun Cho, Rukuang Huang, Chetan Gohil, et al.
Journal of Neurophysiology|October 6, 2021
Automatic decomposition of electrophysiological data into distinct nonsinusoidal oscillatory modesMarco S Fabus, Andrew J Quinn, Catherine E Warnaby, et al.
Cerebral Cortex (New York, N.Y. : 1991)|March 11, 2026
The role of age in the relationship between brain structure and cognition: moderator or confound?Ben Griffin, Chetan Gohil, Mark W Woolrich, et al.
Magnetic Resonance in Medicine|September 12, 2006
Bayesian inference of hemodynamic changes in functional arterial spin labeling dataMark W Woolrich, Peter Chiarelli, Daniel Gallichan, et al.
Neuroimage|October 12, 2010
Linked independent component analysis for multimodal data fusionAdrian R Groves, Christian F Beckmann, Steve M Smith, et al.
Neuroimage|February 25, 2018
Disambiguating brain functional connectivityEugene P Duff, Tamar Makin, Michiel Cottaar, et al.
Biological Psychiatry|July 31, 2007
Knowing when to stop: the brain mechanisms of chasing lossesDaniel K Campbell-Meiklejohn, Mark W Woolrich, Richard E Passingham, et al.
IEEE Transactions on Medical Imaging|January 11, 2005
Mixture models with adaptive spatial regularization for segmentation with an application to FMRI dataMark W Woolrich, Timothy E J Behrens, Christian F Beckmann, et al.
Frontiers in Neuroscience|March 10, 2025
osl-ephys: a Python toolbox for the analysis of electrophysiology dataMats W J van Es, Chetan Gohil, Andrew J Quinn, et al.
Pageof 15