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Paul A Taylor

Showing results (1-10 of 68) with videos related to

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Magnetic Resonance Imaging|May 10, 2011
Geometric analysis of the b-dependent effects of Rician signal noise on diffusion tensor imaging estimates and determining an optimal b valuePaul A Taylor, Bharat Biswal
Brain Connectivity|August 29, 2013
FATCAT: (an efficient) Functional and Tractographic Connectivity Analysis ToolboxPaul A Taylor, Ziad S Saad
Journal of Biomechanical Engineering|May 20, 2009
Simulation of blast-induced early-time intracranial wave physics leading to traumatic brain injuryPaul A Taylor, Corey C Ford
Aperture Neuro|May 20, 2025
Through the lens of causal inference: Decisions and pitfalls of covariate selectionGang Chen, Zhengchen Cai, Paul A Taylor
Frontiers in Genetics|April 17, 2025
Improving accuracy and precision of heritability estimation in twin studies through hierarchical modeling: reassessing the measurement error assumptionGang Chen, Dustin Moraczewski, Paul A Taylor
Neuroimage|October 13, 2016
Is the statistic value all we should care about in neuroimaging?Gang Chen, Paul A Taylor, Robert W Cox
Brain Injury|April 29, 2014
Investigation of blast-induced traumatic brain injuryPaul A Taylor, John S Ludwigsen, Corey C Ford
Frontiers in Neuroscience|February 16, 2023
Quality control practices in FMRI analysis: Philosophy, methods and examples using AFNIRichard C Reynolds, Paul A Taylor, Daniel R Glen
Arxiv|January 2, 2026
SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI StudiesYuan Zhong, Gang Chen, Paul A Taylor, et al.
Neuroimage|November 8, 2019
Fighting or embracing multiplicity in neuroimaging? neighborhood leverage versus global calibrationGang Chen, Paul A Taylor, Robert W Cox, et al.
Pageof 7

Showing results (1-10 of 68) with videos related to

Sort By:
Pageof 7
Magnetic Resonance Imaging|May 10, 2011
Geometric analysis of the b-dependent effects of Rician signal noise on diffusion tensor imaging estimates and determining an optimal b valuePaul A Taylor, Bharat Biswal
Brain Connectivity|August 29, 2013
FATCAT: (an efficient) Functional and Tractographic Connectivity Analysis ToolboxPaul A Taylor, Ziad S Saad
Journal of Biomechanical Engineering|May 20, 2009
Simulation of blast-induced early-time intracranial wave physics leading to traumatic brain injuryPaul A Taylor, Corey C Ford
Aperture Neuro|May 20, 2025
Through the lens of causal inference: Decisions and pitfalls of covariate selectionGang Chen, Zhengchen Cai, Paul A Taylor
Frontiers in Genetics|April 17, 2025
Improving accuracy and precision of heritability estimation in twin studies through hierarchical modeling: reassessing the measurement error assumptionGang Chen, Dustin Moraczewski, Paul A Taylor
Neuroimage|October 13, 2016
Is the statistic value all we should care about in neuroimaging?Gang Chen, Paul A Taylor, Robert W Cox
Brain Injury|April 29, 2014
Investigation of blast-induced traumatic brain injuryPaul A Taylor, John S Ludwigsen, Corey C Ford
Frontiers in Neuroscience|February 16, 2023
Quality control practices in FMRI analysis: Philosophy, methods and examples using AFNIRichard C Reynolds, Paul A Taylor, Daniel R Glen
Arxiv|January 2, 2026
SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI StudiesYuan Zhong, Gang Chen, Paul A Taylor, et al.
Neuroimage|November 8, 2019
Fighting or embracing multiplicity in neuroimaging? neighborhood leverage versus global calibrationGang Chen, Paul A Taylor, Robert W Cox, et al.
Pageof 7