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Journal Articles
- 2021
[j16]William Herzberg, Daniel B. Rowe
, Andreas Hauptmann, Sarah Jane Hamilton:
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems. IEEE Trans. Computational Imaging 7: 1341-1353 (2021)- 2018
- [j15]Benjamin B. Risk, Mary C. Kociuba, Daniel B. Rowe:
Impacts of simultaneous multislice acquisition on sensitivity and specificity in fMRI. NeuroImage 172: 538-553 (2018) - 2014
- [j14]Müge Karaman, Andrew S. Nencka, Iain P. Bruce, Daniel B. Rowe:
Quantification of the Statistical Effects of Spatiotemporal Processing of Nontask fMRI Data. Brain Connect. 4(9): 649-661 (2014) - [j13]Iain P. Bruce, Daniel B. Rowe:
Quantifying the Statistical Impact of GRAPPA in fcMRI Data With a Real-Valued Isomorphism. IEEE Trans. Medical Imaging 33(2): 495-503 (2014) - 2012
- [j12]Andrew D. Hahn, Daniel B. Rowe:
Physiologic noise regression, motion regression, and TOAST dynamic field correction in complex-valued fMRI time series. NeuroImage 59(3): 2231-2240 (2012) - 2009
- [j11]Andrew D. Hahn, Andrew S. Nencka, Daniel B. Rowe:
Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST). NeuroImage 44(3): 742-752 (2009) - 2007
- [j10]Peter R. Kufahl, Daniel B. Rowe, Shi-Jiang Li:
Processing the acute cocaine FMRI response in human brain with Bayesian source separation. Digit. Signal Process. 17(5): 965-978 (2007) - [j9]Andrew S. Nencka, Daniel B. Rowe:
Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods. NeuroImage 37(1): 177-188 (2007) - 2005
- [j8]Daniel B. Rowe, Brent R. Logan:
Complex fMRI analysis with unrestricted phase is equivalent to a magnitude-only model. NeuroImage 24(2): 603-606 (2005) - [j7]Daniel B. Rowe:
Parameter estimation in the magnitude-only and complex-valued fMRI data models. NeuroImage 25(4): 1124-1132 (2005) - [j6]Daniel B. Rowe:
Modeling both the magnitude and phase of complex-valued fMRI data. NeuroImage 25(4): 1310-1324 (2005) - 2004
- [j5]Brent R. Logan, Daniel B. Rowe:
An evaluation of thresholding techniques in fMRI analysis. NeuroImage 22(1): 95-108 (2004) - [j4]Daniel B. Rowe, Brent R. Logan:
A complex way to compute fMRI activation. NeuroImage 23(3): 1078-1092 (2004) - 2003
- [j3]Daniel B. Rowe:
Significant FMRI Neurologic Synchrony Using Monte Carlo Methods. Monte Carlo Methods Appl. 9(4): 367-385 (2003) - 2002
- [j2]Daniel B. Rowe:
Jointly Distributed Mean and Mixing Coefficients for Bayesian Source Separation using MCMC and ICM. Monte Carlo Methods Appl. 8(4): 395-404 (2002) - 2000
- [j1]Daniel B. Rowe:
Factorization of Separable and Patterned Covariance Matrices for Gibbs Sampling. Monte Carlo Methods Appl. 6(3): 205-210 (2000)
Informal and Other Publications
- 2023
- [i3]Sunil Mathew, Daniel B. Rowe:
Pruning a neural network using Bayesian inference. CoRR abs/2308.02451 (2023) - [i2]Sunil Mathew, Jasbir Sra, Daniel B. Rowe:
Generation of patient specific cardiac chamber models using generative neural networks under a Bayesian framework for electroanatomical mapping. CoRR abs/2311.16197 (2023) - 2021
- [i1]William Herzberg, Daniel B. Rowe, Andreas Hauptmann, Sarah Jane Hamilton:
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems. CoRR abs/2103.15138 (2021)
Coauthor Index
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