Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project-Reference-Cited by-同舟云学术

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Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

Published:2019-01 Issue: Volume:185 Page:750-763
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Bastiani Matteo^ORCID,Andersson Jesper L.R.,Cordero-Grande Lucilio,Murgasova Maria,Hutter Jana,Price Anthony N.,Makropoulos Antonios,Fitzgibbon Sean P.,Hughes Emer,Rueckert Daniel,Victor Suresh,Rutherford Mary,Edwards A. David^ORCID,Smith Stephen M.,Tournier Jacques-Donald,Hajnal Joseph V.,Jbabdi Saad,Sotiropoulos Stamatios N.

Funder

European Research Council

European Union Seventh Framework Programme

ERC

NIHR Biomedical Research Centres

NHS Trust

Wellcome Trust

Medical Research Council

Wellcome Trust Strategic Award

NIH Human Connectome Project

EPSRC

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference88 articles.

1. Image processing and quality control for the first 10,000 brain imaging datasets from UK biobank;Alfaro-Almagro;bioRxiv,2017

2. Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images;Andersson;Neuroimage,2016

3. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging;Andersson;Neuroimage,2003

4. Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes;Andersson;Neuroimage,2015

5. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging;Andersson;Neuroimage,2016

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3. Methodological considerations on diffusion MRI tractography in infants aged 0–2 years: a scoping review;Pediatric Research;2024-08-14

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