Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes.
about
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.High resolution whole brain diffusion imaging at 7T for the Human Connectome Project.Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement.Cerebello-cerebral connectivity in the developing brain.Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI.The Human Connectome Project's neuroimaging approach.Structural Organization of the Corpus Callosum Predicts Attentional Shifts after Continuous Theta Burst Stimulation.Connectome imaging for mapping human brain pathwaysMultimodal population brain imaging in the UK Biobank prospective epidemiological study.In vivo Exploration of the Connectivity between the Subthalamic Nucleus and the Globus Pallidus in the Human Brain Using Multi-Fiber Tractography.Early development of structural networks and the impact of prematurity on brain connectivity.Building connectomes using diffusion MRI: why, how and but.Cortex Parcellation Associated Whole White Matter Parcellation in Individual SubjectsDeconstructing white matter connectivity of human amygdala nuclei with thalamus and cortex subdivisions in vivo.Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning.A tract-specific approach to assessing white matter in preterm infants.A Template and Probabilistic Atlas of the Human Sensorimotor Tracts using Diffusion MRI.Widespread structural brain involvement in ALS is not limited to the C9orf72 repeat expansion.Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.Double diffusion encoding MRI for the clinic.Miniature pig model of human adolescent brain white matter development.Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data.White matter maturation during 12 months in individuals at ultra-high-risk for psychosis.Patterns of white matter microstructure in individuals at ultra-high-risk for psychosis: associations to level of functioning and clinical symptoms.TE dependent Diffusion Imaging (TEdDI) distinguishes between compartmental T2 relaxation times.Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI.SHARD: Spherical Harmonic-based Robust Outlier Detection for HARDI Methods.Compressed Sensing Diffusion Spectrum Imaging for Accelerated Diffusion Microstructure MRI in Long-Term Population ImagingCortical fibers orientation mapping using in-vivo whole brain 7 T diffusion MRIRole of Dimensionality in Predicting the Spontaneous Behavior of the Brain Using the Classical Ising Model and the Ising Model Implemented on a Structural Connectome
P2860
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P2860
Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes.
description
2015 nî lūn-bûn
@nan
2015 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Non-parametric representation ...... data using Gaussian processes.
@ast
Non-parametric representation ...... data using Gaussian processes.
@en
type
label
Non-parametric representation ...... data using Gaussian processes.
@ast
Non-parametric representation ...... data using Gaussian processes.
@en
prefLabel
Non-parametric representation ...... data using Gaussian processes.
@ast
Non-parametric representation ...... data using Gaussian processes.
@en
P2860
P1433
P1476
Non-parametric representation ...... data using Gaussian processes.
@en
P2093
Jesper L R Andersson
P2860
P304
P356
10.1016/J.NEUROIMAGE.2015.07.067
P407
P577
2015-07-30T00:00:00Z