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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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Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

NeuroImage (Orlando, Fla.), 2015-03, Vol.108, p.214-224

2015

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Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory

NeuroImage (Orlando, Fla.), 2021-11, Vol.243, p.118569-118569, Article 118569

2021

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Head motion during MRI acquisition reduces gray matter volume and thickness estimates

NeuroImage (Orlando, Fla.), 2015-02, Vol.107, p.107-115

2015

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Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction

NeuroImage (Orlando, Fla.), 2020-05, Vol.211, p.116579-116579, Article 116579

2020

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Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project

NeuroImage (Orlando, Fla.), 2017-07, Vol.154, p.23-32

2017

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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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BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities

NeuroImage (Orlando, Fla.), 2016-11, Vol.141, p.191-205

2016

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On the analysis of rapidly sampled fMRI data

NeuroImage (Orlando, Fla.), 2019-03, Vol.188, p.807-820

2019

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Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

NeuroImage (Orlando, Fla.), 2020-01, Vol.205, p.116278-116278, Article 116278

2020

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Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising

NeuroImage (Orlando, Fla.), 2021-06, Vol.233, p.117946-117946, Article 117946

2021

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An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.482-494

2018

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Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation

NeuroImage (Orlando, Fla.), 2020-07, Vol.215, p.116852-116852, Article 116852

2020

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What’s new and what’s next in diffusion MRI preprocessing

NeuroImage (Orlando, Fla.), 2022-04, Vol.249, p.118830-118830, Article 118830

2022

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Feasibility of spiral fMRI based on an LTI gradient model

NeuroImage (Orlando, Fla.), 2021-12, Vol.245, p.118674-118674, Article 118674

2021

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Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network

NeuroImage (Orlando, Fla.), 2021-01, Vol.224, p.117399-117399, Article 117399

2021

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Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images

NeuroImage (Orlando, Fla.), 2016-11, Vol.141, p.556-572

2016

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DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions

NeuroImage (Orlando, Fla.), 2015-02, Vol.106, p.284-299

2015

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Image quality transfer and applications in diffusion MRI

NeuroImage (Orlando, Fla.), 2017-05, Vol.152, p.283-298

2017

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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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Automated template-based brain localization and extraction for fetal brain MRI reconstruction

NeuroImage (Orlando, Fla.), 2017-07, Vol.155, p.460-472

2017

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Robust skull stripping using multiple MR image contrasts insensitive to pathology

NeuroImage (Orlando, Fla.), 2017-02, Vol.146, p.132-147

2017

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DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.434-445

2018

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Within-subject template estimation for unbiased longitudinal image analysis

NeuroImage (Orlando, Fla.), 2012-07, Vol.61 (4), p.1402-1418

2012

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

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory

Head motion during MRI acquisition reduces gray matter volume and thickness estimates

Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction

Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project

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

BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities

On the analysis of rapidly sampled fMRI data

Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising

An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement

Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation

What’s new and what’s next in diffusion MRI preprocessing

Feasibility of spiral fMRI based on an LTI gradient model

Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network

Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images

DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions

Image quality transfer and applications in diffusion MRI

Inter-site and inter-scanner diffusion MRI data harmonization

Automated template-based brain localization and extraction for fetal brain MRI reconstruction

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

Robust skull stripping using multiple MR image contrasts insensitive to pathology

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

Within-subject template estimation for unbiased longitudinal image analysis

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