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Robert W Cox

Showing results (11-20 of 57) with videos related to

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Frontiers in Neuroscience|November 19, 2015
Detecting the subtle shape differences in hemodynamic responses at the group levelGang Chen, Ziad S Saad, Nancy E Adleman, et al.
Magnetic Resonance in Medicine|October 3, 2003
Single-shot magnetic field mapping embedded in echo-planar time-course imagingVinai Roopchansingh, Robert W Cox, Andrzej Jesmanowicz, et al.
Brain Connectivity|April 12, 2017
FMRI Clustering in AFNI: False-Positive Rates ReduxRobert W Cox, Gang Chen, Daniel R Glen, et al.
Neuroimage|November 5, 2016
Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modelingGang Chen, Paul A Taylor, Yong-Wook Shin, et al.
Neuroimage|January 17, 2012
FMRI group analysis combining effect estimates and their variancesGang Chen, Ziad S Saad, Audrey R Nath, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 20, 2017
fMRI clustering and false-positive ratesRobert W Cox, Gang Chen, Daniel R Glen, et al.
Neuroimage|February 5, 2013
Linear mixed-effects modeling approach to FMRI group analysisGang Chen, Ziad S Saad, Jennifer C Britton, et al.
Plos One|November 13, 2012
Quantifying agreement between anatomical and functional interhemispheric correspondences in the resting brainHang Joon Jo, Ziad S Saad, Stephen J Gotts, et al.
Neuroimage|November 12, 2020
To pool or not to pool: Can we ignore cross-trial variability in FMRI?Gang Chen, Srikanth Padmala, Yi Chen, et al.
Frontiers in Neuroinformatics|June 13, 2020
Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNIDaniel R Glen, Paul A Taylor, Bradley R Buchsbaum, et al.
Pageof 6

Showing results (11-20 of 57) with videos related to

Sort By:
Pageof 6
Frontiers in Neuroscience|November 19, 2015
Detecting the subtle shape differences in hemodynamic responses at the group levelGang Chen, Ziad S Saad, Nancy E Adleman, et al.
Magnetic Resonance in Medicine|October 3, 2003
Single-shot magnetic field mapping embedded in echo-planar time-course imagingVinai Roopchansingh, Robert W Cox, Andrzej Jesmanowicz, et al.
Brain Connectivity|April 12, 2017
FMRI Clustering in AFNI: False-Positive Rates ReduxRobert W Cox, Gang Chen, Daniel R Glen, et al.
Neuroimage|November 5, 2016
Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modelingGang Chen, Paul A Taylor, Yong-Wook Shin, et al.
Neuroimage|January 17, 2012
FMRI group analysis combining effect estimates and their variancesGang Chen, Ziad S Saad, Audrey R Nath, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 20, 2017
fMRI clustering and false-positive ratesRobert W Cox, Gang Chen, Daniel R Glen, et al.
Neuroimage|February 5, 2013
Linear mixed-effects modeling approach to FMRI group analysisGang Chen, Ziad S Saad, Jennifer C Britton, et al.
Plos One|November 13, 2012
Quantifying agreement between anatomical and functional interhemispheric correspondences in the resting brainHang Joon Jo, Ziad S Saad, Stephen J Gotts, et al.
Neuroimage|November 12, 2020
To pool or not to pool: Can we ignore cross-trial variability in FMRI?Gang Chen, Srikanth Padmala, Yi Chen, et al.
Frontiers in Neuroinformatics|June 13, 2020
Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNIDaniel R Glen, Paul A Taylor, Bradley R Buchsbaum, et al.
Pageof 6