Impacts of simultaneous multislice acquisition on sensitivity and specificity in fMRI von Risk, Benjamin B., Kociuba, Mary C., Rowe, Daniel B.

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Bayesian merged utilization of GRAPPA and SENSE (BMUGS) for in-plane accelerated reconstruction increases fMRI detection power von Sakitis, Chase J., Rowe, Daniel B.

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A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data von Wang, Zhengxin, Rowe, Daniel B., Li, Xinyi, Brown, D. Andrew

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A Bayesian complex-valued latent variable model applied to functional magnetic resonance imaging von Sakitis, Chase J, Brown, D Andrew, Rowe, Daniel B

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Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems von Herzberg, William, Rowe, Daniel B., Hauptmann, Andreas, Hamilton, Sarah J.

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COMPLEX-VALUED TIME SERIES MODELING FOR IMPROVED ACTIVATION DETECTION IN FMRI STUDIES von Adrian, Daniel W., Maitra, Ranjan, Rowe, Daniel B.

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Magnitude and phase signal detection in complex-valued fMRI data von Rowe, Daniel B.

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Modeling both the magnitude and phase of complex-valued fMRI data von Rowe, Daniel B.

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Complex-Valued Time-Series Correlation Increases Sensitivity in FMRI Analysis von Kociuba, Mary C, Rowe, Daniel B

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Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model von Bennett, Kevin M., Schmainda, Kathleen M., Bennett (Tong), Raoqiong, Rowe, Daniel B., Lu, Hanbing, Hyde, James S.

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Diffusion-weighted magnetic resonance imaging of the prostate: improved robustness with stretched exponential modeling von Mazaheri, Yousef, Afaq, Asim, Rowe, Daniel B, Lu, Yonggang, Shukla-Dave, Amita, Grover, Jarrett

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Quantifying the Statistical Impact of GRAPPA in fcMRI Data With a Real-Valued Isomorphism von Bruce, Iain P., Rowe, Daniel B.

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Incorporating relaxivities to more accurately reconstruct MR images von Karaman, Muge, Bruce, Iain P, Rowe, Daniel B

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An evaluation of thresholding techniques in fMRI analysis von Logan, Brent R., Rowe, Daniel B.

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Parameter estimation in the magnitude-only and complex-valued fMRI data models von Rowe, Daniel B.

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A complex way to compute fMRI activation von Rowe, Daniel B., Logan, Brent R.

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Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time series von Hahn, Andrew D., Rowe, Daniel B.

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Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods von Nencka, Andrew S., Rowe, Daniel B.

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Quantitative analysis of arterial spin labeling FMRI data using a general linear model von Hernandez-Garcia, Luis, Jahanian, Hesamoddin, Rowe, Daniel B

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Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST) von Hahn, Andrew D., Nencka, Andrew S., Rowe, Daniel B.

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