Search Results - "Rowe, Daniel B."

Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data.

Authors: Wang, Zhengxin Rowe, Daniel B. Li, Xinyi et al.

Source: Journal of Applied Statistics. May2025, Vol. 52 Issue 6, p1299-1314. 16p.

A Bayesian complex-valued latent variable model applied to functional magnetic resonance imaging.

Authors: Sakitis, Chase J Brown, D Andrew Rowe, Daniel B

Source: Journal of the Royal Statistical Society: Series C (Applied Statistics); Jan2025, Vol. 74 Issue 1, p100-125, 26p

A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data.

Authors: Wang, Zhengxin Rowe, Daniel B. Li, Xinyi et al.

Source: Magnetic Resonance Imaging (0730725X). Jun2024, Vol. 109, p271-285. 15p.

Subjects: Functional magnetic resonance imaging, Gaussian Markov random fields, Image segmentation

A mathematically accurate angular regression model optimizes phase activation and yields additional physiological information in FMRI.

Authors: Bodenschatz, John C. Rowe, Daniel B.

Source: Magnetic Resonance Imaging (0730725X). Sep2026, Vol. 131, pN.PAG-N.PAG. 1p.

Subjects: Functional magnetic resonance imaging, Distribution (Probability theory), Statistical models, Signal-to-noise ratio, High resolution imaging, Regression analysis, Biomedical signal processing

A Bayesian approach to 2D acceleration for studying activation detection rate for simultaneously encoded slice acquisition in FMRI.

Authors: Xu, Ke Rowe, Daniel B.

Source: Magnetic Resonance Imaging (0730725X). Jul2026, Vol. 130, pN.PAG-N.PAG. 1p.

Subjects: Functional magnetic resonance imaging, Image reconstruction, Signal-to-noise ratio, Frequency-domain analysis, Bayesian analysis, Signal detection

A Bayesian CAIPIVAT approach with through-plane acceleration to enhance efficiency of simultaneously encoded slice acquisition in FMRI.

Authors: Xu, Ke Rowe, Daniel B.

Source: Magnetic Resonance Imaging (0730725X). Dec2025, Vol. 124, pN.PAG-N.PAG. 1p.

Subjects: Functional magnetic resonance imaging, Signal-to-noise ratio, Diagnostic imaging, Computer-assisted image analysis (Medicine), Imaging systems, Bayesian analysis

Multivariate Statistical Analysis in fMRI.

Authors: Rowe, Daniel B. Hoffmann, Raymond G.

Source: IEEE Engineering in Medicine & Biology Magazine; March/April 2006, Vol. 25 Issue 2, p60-64, 5p

Generation of Patient Specific Cardiac Chamber Models Using Generative Neural Networks Under a Bayesian Framework for Electroanatomical Mapping.

Authors: Mathew, Sunil Sra, Jasbir Rowe, Daniel B.

Source: Journal of Statistical Theory & Practice. Mar2025, Vol. 19 Issue 1, p1-23. 23p.

Significant FMRI Neurologic Synchrony Using Monte Carlo Methods.

Authors: Rowe, Daniel B.¹ dbrowe@mcv.edu

Source: Monte Carlo Methods & Applications. 2003, Vol. 9 Issue 4, p367-385. 19p. 12 Charts.

Jointly Distributed Mean and Mixing Coefficients for Bayesian Source Separation using MCMC and ICM.

Authors: Rowe, Daniel B.

Source: Monte Carlo Methods & Applications. 2002, Vol. 8 Issue 4, p395. 9p.

Factorization of Separable and Patterned Covariance Matrices for Gibbs Sampling.

Authors: Rowe, Daniel B.

Source: Monte Carlo Methods & Applications. 2000, Vol. 6 Issue 3, p205. 6p.

Bayesian merged utilization of GRAPPA and SENSE (BMUGS) for in-plane accelerated reconstruction increases fMRI detection power.

Authors: Sakitis, Chase J. Rowe, Daniel B.

Source: Magnetic Resonance Imaging (0730725X). Jan2025, Vol. 115, pN.PAG-N.PAG. 1p.

Subjects: Time series analysis, Functional magnetic resonance imaging, Fourier transforms, A priori, Senses

Complex-valued time-series correlation increases sensitivity in FMRI analysis.

Authors: Kociuba, Mary C. Rowe, Daniel B.

Source: Magnetic Resonance Imaging (0730725X). Jul2016, Vol. 34 Issue 6, p765-770. 6p.

Subjects: Functional magnetic resonance imaging, Time series analysis, Motor cortex, Statistics, Simulation methods & models

Separation of parallel encoded complex-valued slices (SPECS) from a single complex-valued aliased coil image.

Authors: Rowe, Daniel B. Bruce, Iain P. Nencka, Andrew S. et al.

Source: Magnetic Resonance Imaging (0730725X). Apr2016, Vol. 34 Issue 3, p359-369. 11p.

Subjects: Functional magnetic resonance imaging, k-spaces, Image reconstruction, Statistical bootstrapping, Hadamard matrices, Motor cortex

Characterizing phase-only fMRI data with an angular regression model

Authors: Rowe, Daniel B. Meller, Christopher P. Hoffmann, Raymond G.

Source: Journal of Neuroscience Methods. Apr2007, Vol. 161 Issue 2, p331-341. 11p.

Subjects: Regression analysis, Estimation theory, Stochastic systems, Magnetic resonance

Signal and noise of Fourier reconstructed fMRI data

Authors: Rowe, Daniel B. Nencka, Andrew S. Hoffmann, Raymond G.

Source: Journal of Neuroscience Methods. Jan2007, Vol. 159 Issue 2, p361-369. 9p.

Subjects: Magnetic resonance imaging, Fourier transforms, Diagnostic imaging, Fourier analysis

Functional magnetic resonance imaging brain activation directly from k-space

Authors: Rowe, Daniel B. Hahn, Andrew D. Nencka, Andrew S.

Source: Magnetic Resonance Imaging (0730725X). Dec2009, Vol. 27 Issue 10, p1370-1381. 12p.

Subjects: Magnetic resonance imaging of the brain, Brain physiology, Image reconstruction, Time series analysis, k-spaces, Statistical correlation, Analysis of covariance, Fourier transforms

MAgnitude and PHase Thresholding (MAPHT) of noisy complex-valued magnetic resonance images

Authors: Rowe, Daniel B. Haacke, E. Mark

Source: Magnetic Resonance Imaging (0730725X). Nov2009, Vol. 27 Issue 9, p1271-1280. 10p.

Subjects: Magnetic resonance imaging, Monte Carlo method, Maximum likelihood statistics, Signal-to-noise ratio, Manuscripts, F-distribution

Quantifying the Statistical Impact of GRAPPA in fcMRI Data With a Real-Valued Isomorphism.

Authors: Bruce, Iain P. Rowe, Daniel B.

Source: IEEE Transactions on Medical Imaging. Feb2014, Vol. 33 Issue 2, p495-503. 9p.

Subjects: Isomorphism (Mathematics), Magnetic resonance imaging, Time series analysis, Algorithms, Mathematical models, Statistics

Processing the acute cocaine FMRI response in human brain with Bayesian source separation

Authors: Kufahl, Peter R. Rowe, Daniel B. Li, Shi-Jiang

Source: Digital Signal Processing. Sep2007, Vol. 17 Issue 5, p965-978. 14p.

Subjects: Drug administration, Cocaine, Brain, Mathematical statistics