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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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Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited

Proceedings of the National Academy of Sciences - PNAS, 2014-11, Vol.111 (46), p.16574-16579

2014

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Evaluating corrections for Eddy‐currents and other EPI distortions in diffusion MRI: methodology and a dataset for benchmarking

Magnetic resonance in medicine, 2019-04, Vol.81 (4), p.2774-2787

2019

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Effects of image distortions originating from susceptibility variations and concomitant fields on diffusion MRI tractography results

NeuroImage (Orlando, Fla.), 2012-05, Vol.61 (1), p.275-288

2012

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Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models

Magnetic resonance in medicine, 2017-11, Vol.78 (5), p.1767-1780

2017

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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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Mapping gradient nonlinearity and miscalibration using diffusion‐weighted MR images of a uniform isotropic phantom

Magnetic resonance in medicine, 2021-12, Vol.86 (6), p.3259-3273

2021

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Improved reproducibility of diffusion MRI of the human brain with a four‐way blip‐up and down phase‐encoding acquisition approach

Magnetic resonance in medicine, 2021-05, Vol.85 (5), p.2696-2708

2021

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Limits to anatomical accuracy of diffusion tractography using modern approaches

NeuroImage (Orlando, Fla.), 2019-01, Vol.185, p.1-11

2019

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Clinical feasibility of using mean apparent propagator (MAP) MRI to characterize brain tissue microstructure

NeuroImage (Orlando, Fla.), 2016-02, Vol.127, p.422-434

2016

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The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)

NeuroImage (Orlando, Fla.), 2016-01, Vol.124 (Pt B), p.1125-1130

2016

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In vivo disentanglement of diffusion frequency‐dependence, tensor shape, and relaxation using multidimensional MRI

Human brain mapping, 2024-05, Vol.45 (7), p.e26697-n/a

2024

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Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry

Scientific reports, 2020-03, Vol.10 (1), p.5447-5447, Article 5447

2020

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Mean apparent propagator (MAP) MRI: A novel diffusion imaging method for mapping tissue microstructure

NeuroImage (Orlando, Fla.), 2013-09, Vol.78, p.16-32

2013

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Tensor-based morphometry using scalar and directional information of diffusion tensor MRI data (DTBM): Application to hereditary spastic paraplegia

Human brain mapping, 2018-12, Vol.39 (12), p.4643-4651

2018

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Analysis of the contribution of experimental bias, experimental noise, and inter-subject biological variability on the assessment of developmental trajectories in diffusion MRI studies of the brain

NeuroImage (Orlando, Fla.), 2015-04, Vol.109, p.480-492

2015

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"Pscore": A Novel Percentile-Based Metric to Accurately Assess Individual Deviations in Non-Gaussian Distributions of Quantitative MRI Metrics

Journal of magnetic resonance imaging, 2024-01

2024

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Tract Orientation and Angular Dispersion Deviation Indicator (TOADDI): A framework for single-subject analysis in diffusion tensor imaging

NeuroImage (Orlando, Fla.), 2016-02, Vol.126, p.151-163

2016

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DR-TAMAS: Diffeomorphic Registration for Tensor Accurate Alignment of Anatomical Structures

NeuroImage (Orlando, Fla.), 2016-05, Vol.132, p.439-454

2016

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The Feasibility of Hybrid Automatic Segmentation of Axillary Lymph Nodes from a 3-D Sonogram

Ultrasound in medicine & biology, 2011-12, Vol.37 (12), p.2075-2085

2011

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Neuroimaging Findings in US Government Personnel and Their Family Members Involved in Anomalous Health Incidents

JAMA : the journal of the American Medical Association, 2024-04, Vol.331 (13), p.1122

2024

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Investigation of vibration-induced artifact in clinical diffusion-weighted imaging of pediatric subjects

Human brain mapping, 2015-12, Vol.36 (12), p.4745-4757

2015

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3D shape-based face representation and feature extraction for face recognition

Image and vision computing, 2006-08, Vol.24 (8), p.857-869

2006

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DR-BUDDI: Diffeomorphic Registration for Blip Up-Down Diffusion Imaging

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 1), p.218-226

2014

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Learning the best subset of local features for face recognition

Pattern recognition, 2007-05, Vol.40 (5), p.1520-1532

2007

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

Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited

Evaluating corrections for Eddy‐currents and other EPI distortions in diffusion MRI: methodology and a dataset for benchmarking

Effects of image distortions originating from susceptibility variations and concomitant fields on diffusion MRI tractography results

Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models

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

Mapping gradient nonlinearity and miscalibration using diffusion‐weighted MR images of a uniform isotropic phantom

Improved reproducibility of diffusion MRI of the human brain with a four‐way blip‐up and down phase‐encoding acquisition approach

Limits to anatomical accuracy of diffusion tractography using modern approaches

Clinical feasibility of using mean apparent propagator (MAP) MRI to characterize brain tissue microstructure

The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)

In vivo disentanglement of diffusion frequency‐dependence, tensor shape, and relaxation using multidimensional MRI

Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry

Mean apparent propagator (MAP) MRI: A novel diffusion imaging method for mapping tissue microstructure

Tensor-based morphometry using scalar and directional information of diffusion tensor MRI data (DTBM): Application to hereditary spastic paraplegia

Analysis of the contribution of experimental bias, experimental noise, and inter-subject biological variability on the assessment of developmental trajectories in diffusion MRI studies of the brain

"Pscore": A Novel Percentile-Based Metric to Accurately Assess Individual Deviations in Non-Gaussian Distributions of Quantitative MRI Metrics

Tract Orientation and Angular Dispersion Deviation Indicator (TOADDI): A framework for single-subject analysis in diffusion tensor imaging

DR-TAMAS: Diffeomorphic Registration for Tensor Accurate Alignment of Anatomical Structures

The Feasibility of Hybrid Automatic Segmentation of Axillary Lymph Nodes from a 3-D Sonogram

Neuroimaging Findings in US Government Personnel and Their Family Members Involved in Anomalous Health Incidents

Investigation of vibration-induced artifact in clinical diffusion-weighted imaging of pediatric subjects

3D shape-based face representation and feature extraction for face recognition

DR-BUDDI: Diffeomorphic Registration for Blip Up-Down Diffusion Imaging

Learning the best subset of local features for face recognition

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