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Daniel B Rowe

Showing results (1-10 of 46) with videos related to

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Magnetic Resonance in Medicine|August 26, 2009
Magnitude and phase signal detection in complex-valued fMRI dataDaniel B Rowe
Neuroimage|April 27, 2005
Parameter estimation in the magnitude-only and complex-valued fMRI data modelsDaniel B Rowe
Neuroimage|April 27, 2005
Modeling both the magnitude and phase of complex-valued fMRI dataDaniel B Rowe
Magnetic Resonance Imaging|April 8, 2026
A Bayesian approach to 2D acceleration for studying activation detection rate for simultaneously encoded slice acquisition in FMRIKe Xu, Daniel B Rowe
Magnetic Resonance Imaging|October 9, 2025
A Bayesian CAIPIVAT approach with through-plane acceleration to enhance efficiency of simultaneously encoded slice acquisition in FMRIKe Xu, Daniel B Rowe
Magnetic Resonance Imaging|June 26, 2009
MAgnitude and PHase Thresholding (MAPHT) of noisy complex-valued magnetic resonance imagesDaniel B Rowe, E Mark Haacke
Neuroimage|October 18, 2011
Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time seriesAndrew D Hahn, Daniel B Rowe
Magnetic Resonance Imaging|April 26, 2026
A mathematically accurate angular regression model optimizes phase activation and yields additional physiological information in FMRIJohn C Bodenschatz, Daniel B Rowe
Magnetic Resonance Imaging|October 18, 2024
Bayesian merged utilization of GRAPPA and SENSE (BMUGS) for in-plane accelerated reconstruction increases fMRI detection powerChase J Sakitis, Daniel B Rowe
Magnetic Resonance Imaging|March 19, 2016
Complex-valued time-series correlation increases sensitivity in FMRI analysisMary C Kociuba, Daniel B Rowe
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Magnetic Resonance in Medicine|August 26, 2009
Magnitude and phase signal detection in complex-valued fMRI dataDaniel B Rowe
Neuroimage|April 27, 2005
Parameter estimation in the magnitude-only and complex-valued fMRI data modelsDaniel B Rowe
Neuroimage|April 27, 2005
Modeling both the magnitude and phase of complex-valued fMRI dataDaniel B Rowe
Magnetic Resonance Imaging|April 8, 2026
A Bayesian approach to 2D acceleration for studying activation detection rate for simultaneously encoded slice acquisition in FMRIKe Xu, Daniel B Rowe
Magnetic Resonance Imaging|October 9, 2025
A Bayesian CAIPIVAT approach with through-plane acceleration to enhance efficiency of simultaneously encoded slice acquisition in FMRIKe Xu, Daniel B Rowe
Magnetic Resonance Imaging|June 26, 2009
MAgnitude and PHase Thresholding (MAPHT) of noisy complex-valued magnetic resonance imagesDaniel B Rowe, E Mark Haacke
Neuroimage|October 18, 2011
Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time seriesAndrew D Hahn, Daniel B Rowe
Magnetic Resonance Imaging|April 26, 2026
A mathematically accurate angular regression model optimizes phase activation and yields additional physiological information in FMRIJohn C Bodenschatz, Daniel B Rowe
Magnetic Resonance Imaging|October 18, 2024
Bayesian merged utilization of GRAPPA and SENSE (BMUGS) for in-plane accelerated reconstruction increases fMRI detection powerChase J Sakitis, Daniel B Rowe
Magnetic Resonance Imaging|March 19, 2016
Complex-valued time-series correlation increases sensitivity in FMRI analysisMary C Kociuba, Daniel B Rowe
Pageof 5