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Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

NeuroImage (Orlando, Fla.), 2016-08, Vol.137, p.70-85

2016

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An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

NeuroImage (Orlando, Fla.), 2013-01, Vol.64, p.240-256

2013

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Reliability of dissimilarity measures for multi-voxel pattern analysis

NeuroImage (Orlando, Fla.), 2016-08, Vol.137, p.188-200

2016

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Faster permutation inference in brain imaging

NeuroImage (Orlando, Fla.), 2016-11, Vol.141, p.502-516

2016

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A DCM for resting state fMRI

NeuroImage (Orlando, Fla.), 2014-07, Vol.94 (100), p.396-407

2014

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Anticorrelations in resting state networks without global signal regression

NeuroImage (Orlando, Fla.), 2012-01, Vol.59 (2), p.1420-1428

2012

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Reduction of motion-related artifacts in resting state fMRI using aCompCor

NeuroImage (Orlando, Fla.), 2014-08, Vol.96, p.22-35

2014

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Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline

NeuroImage (Orlando, Fla.), 2018-12, Vol.183, p.532-543

2018

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Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples

NeuroImage (Orlando, Fla.), 2012-10, Vol.63 (1), p.310-319

2012

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Exploring linearity of deep neural network trained QSM: QSMnet

NeuroImage (Orlando, Fla.), 2020-05, Vol.211, p.116619-116619, Article 116619

2020

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Valid population inference for information-based imaging: From the second-level t-test to prevalence inference

NeuroImage (Orlando, Fla.), 2016-11, Vol.141, p.378-392

2016

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Selective peak inference: Unbiased estimation of raw and standardized effect size at local maxima

NeuroImage (Orlando, Fla.), 2020-04, Vol.209, p.116375-116375, Article 116375

2020

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ICLabel: An automated electroencephalographic independent component classifier, dataset, and website

NeuroImage (Orlando, Fla.), 2019-09, Vol.198, p.181-197

2019

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Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification

NeuroImage (Orlando, Fla.), 2008-01, Vol.39 (1), p.336-347

2008

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Orientationally invariant indices of axon diameter and density from diffusion MRI

NeuroImage (Orlando, Fla.), 2010-10, Vol.52 (4), p.1374-1389

2010

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Inter-site and inter-scanner diffusion MRI data harmonization

NeuroImage (Orlando, Fla.), 2016-07, Vol.135, p.311-323

2016

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NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy

NeuroImage (Orlando, Fla.), 2009-01, Vol.44 (2), p.428-447

2009

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Automated anatomical labelling atlas 3

NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116189-116189, Article 116189

2020

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An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

NeuroImage (Orlando, Fla.), 2016-01, Vol.125, p.1063-1078

2016

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Denoising of diffusion MRI using random matrix theory

NeuroImage (Orlando, Fla.), 2016-11, Vol.142, p.394-406

2016

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Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation

NeuroImage (Orlando, Fla.), 2016-07, Vol.135, p.16-31

2016

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Quantifying amide proton exchange rate and concentration in chemical exchange saturation transfer imaging of the human brain

NeuroImage (Orlando, Fla.), 2019-04, Vol.189, p.202-213

2019

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Improved DTI registration allows voxel-based analysis that outperforms Tract-Based Spatial Statistics

NeuroImage (Orlando, Fla.), 2014-07, Vol.94, p.65-78

2014

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Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

NeuroImage (Orlando, Fla.), 2020-04, Vol.209, p.116449-116449, Article 116449

2020

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Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks

NeuroImage (Orlando, Fla.), 2014-08, Vol.96, p.245-260

2014

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Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

Reliability of dissimilarity measures for multi-voxel pattern analysis

Faster permutation inference in brain imaging

A DCM for resting state fMRI

Anticorrelations in resting state networks without global signal regression

Reduction of motion-related artifacts in resting state fMRI using aCompCor

Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline

Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples

Exploring linearity of deep neural network trained QSM: QSMnet

Valid population inference for information-based imaging: From the second-level t-test to prevalence inference

Selective peak inference: Unbiased estimation of raw and standardized effect size at local maxima

ICLabel: An automated electroencephalographic independent component classifier, dataset, and website

Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification

Orientationally invariant indices of axon diameter and density from diffusion MRI

Inter-site and inter-scanner diffusion MRI data harmonization

NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy

Automated anatomical labelling atlas 3

An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

Denoising of diffusion MRI using random matrix theory

Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation

Quantifying amide proton exchange rate and concentration in chemical exchange saturation transfer imaging of the human brain

Improved DTI registration allows voxel-based analysis that outperforms Tract-Based Spatial Statistics

Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks

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