Daniel B. Rowe

发表

Significant FMRI Neurologic Synchrony Using Monte Carlo Methods

Daniel B. Rowe, D. Rowe, 2003, Monte Carlo Methods Appl..

Parameter estimation in the magnitude-only and complex-valued fMRI data models

Daniel B. Rowe, D. Rowe, 2005, NeuroImage.

An evaluation of thresholding techniques in fMRI analysis

Daniel B. Rowe, Brent R. Logan, D. Rowe, 2004, NeuroImage.

An Assessment of Statistical Models of Complex-Valued fMRI Data

Ranjan Maitra, Daniel B. Rowe, Daniel W. Adrian, 2016 .

Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time series

Daniel B. Rowe, Andrew D. Hahn, 2012, NeuroImage.

Impacts of simultaneous multislice acquisition on sensitivity and specificity in fMRI

Daniel B. Rowe, Benjamin B. Risk, Mary C. Kociuba, 2018, NeuroImage.

A complex way to compute fMRI activation

Daniel B. Rowe, Brent R. Logan, D. Rowe, 2004, NeuroImage.

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

Daniel B. Rowe, Iain P. Bruce, 2014, IEEE Transactions on Medical Imaging.

A Bayesian Factor Analysis Model with Generalized Prior Information

Daniel B. Rowe, 2000 .

Bayesian source separation of fMRI signals

Daniel B. Rowe, 2001 .

Bayesian Blind Source Separation

Daniel B. Rowe, 2002 .

Computing FMRI Activations: Coecients and t-Statistics by Detrending and Multiple Regression

Daniel B. Rowe, Steven W. Morgan, 2002 .

A Statistical Method for Computing BOLD Activations in Multi-Echo Time fMRI Data Sets and Identifying Likely Non-BOLD Task Related Signal Change

James S. Hyde, Andrzej Jesmanowicz, Andrew S. Nencka, 2010 .

Characterizing phase-only fMRI data with an angular regression model

Daniel B. Rowe, Christopher P. Meller, Raymond G. Hoffmann, 2007, Journal of Neuroscience Methods.

Bayesian Source Separation

Daniel B. Rowe, D. Rowe, 2002 .

Decreasing False Positives and Negatives from Spatio-Temporal Processing of FMRI

Andrew S. Nencka, Daniel B. Rowe, M. Muge Karaman, 2014 .

Bayesian source separation of functional sources

Daniel B. Rowe, 2003 .

Time Series Models for Computing Activation in fMRI

Ranjan Maitra, Daniel B. Rowe, Daniel W. Adrian, 2010 .

Quantification of the Statistical Effects of Spatiotemporal Processing of Nontask fMRI Data

Andrew S. Nencka, Daniel B. Rowe, Iain P. Bruce, 2014, Brain Connect..

Signal Processing Spreads a Voxel’s Temporal Frequency Task-Activated Peak and Induces Spatial Correlations in Dual-Task Complex-Valued fMRI

Daniel B. Rowe, 2015 .

In fMRI a Dual Echo Time EPI Pulse Sequence can Induce Sources of Error in Dynamic Magnetic Field Maps

Andrew S. Nencka, Daniel B. Rowe, Andrew D. Hahn, 2010 .

Bayesian Factor Analysis

Daniel B. Rowe, 2002 .

A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI

Hernando Ombao, Raquel Prado, Daniel B. Rowe, 2018, Journal of the American Statistical Association.

Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods

Andrew S. Nencka, Daniel B. Rowe, D. Rowe, 2007, NeuroImage.

Improving the Accuracy of Non-task fMRI Analysis by Quantifying Spatiotemporal Processing Induced Correlations

Andrew S. Nencka, Daniel B. Rowe, Muge Karaman, 2014 .

Bayesian Estimation Methods

Daniel B. Rowe, 2002 .

Factorization of Separable and Patterned Covariance Matrices for Gibbs Sampling

Daniel B. Rowe, 2000, Monte Carlo Methods Appl..

Image Registration Techniques Alter Image Properties in fMRI

Daniel B. Rowe, D. Rowe, 2016 .

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

Shi-Jiang Li, Daniel B. Rowe, Peter R. Kufahl, 2007, Digit. Signal Process..

Complex fMRI analysis with unrestricted phase is equivalent to a magnitude-only model

Daniel B. Rowe, Brent R. Logan, 2005, NeuroImage.

Modeling both the magnitude and phase of complex-valued fMRI data

Daniel B. Rowe, 2005, NeuroImage.

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

Daniel B. Rowe, 2002, Monte Carlo Methods Appl..

FMRI Hyperparameter Assessment

Daniel B. Rowe, 2002 .

Introductory Bayesian Statistics

Daniel B. Rowe, 2002 .

On Estimating the Parameters of the Complex fMRI Time Course Model

Daniel B. Rowe, 2004 .

A Mathematical Model for Understanding the STatistical effects of k-space (AMMUST-k) preprocessing on observed voxel measurements in fcMRI and fMRI

Andrew S. Nencka, Daniel B. Rowe, Andrew D. Hahn, 2009, Journal of Neuroscience Methods.

Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST)

Andrew S. Nencka, Daniel B. Rowe, Andrew D. Hahn, 2009, NeuroImage.

Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems

Andreas Hauptmann, Daniel B. Rowe, Sarah J. Hamilton, 2021, IEEE Transactions on Computational Imaging.

Complex activation is more focal and concentrated to parenchymal tissue

Daniel B. Rowe, 2005 .

Mental processes and strategic equilibration: An fMRI study of selling strategies in second price auctions

Charles R. Plott, Martin I. Sereno, Daniel B. Rowe, 2007 .

On Estimating the Mean in Bayesian Factor Analysis

Daniel B. Rowe, 2000 .

Long-term vascular access ports as a means of sedative administration in a rodent fMRI survival model

Christopher P. Pawela, Rupeng Li, Younghoon R. Cho, 2011, Journal of Neuroscience Methods.

The Effect of Detrending When Computing Regression Coefficients in Block Design fMRI

Daniel B. Rowe, D. Rowe, Scott Morgan, 2002 .

Functional susceptibility weighted magnetic resonance imaging

Markus Barth, Daniel B. Rowe, D. Rowe, 2011 .

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing

Daniel B. Rowe, D. Rowe, 2002 .