Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes-Reference-Cited by-同舟云学术

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Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes

Published:2019-03 Issue: Volume:188 Page:598-615
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Hernandez-Fernandez Moises,Reguly Istvan,Jbabdi Saad,Giles Mike,Smith Stephen,Sotiropoulos Stamatios N.

Funder

NIH Blueprint for Neuroscience Research

National Institutes of Health

McDonnell Center for Systems Neuroscience

Wellcome Trust

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference97 articles.

1. Analysis of partial volume effects in diffusion-tensor MRI;Alexander;Magn. Reson. Med.,2001

2. Orientationally invariant indices of axon diameter and density from diffusion MRI;Alexander;Neuroimage,2010

3. Imaging brain microstructure with diffusion MRI: practicality and applications;Alexander;NMR Biomed.,2017

4. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank;Alfaro-Almagro;Neuroimage,2018

5. Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations;Alsmirat;Multimed. Tool. Appl.,2017

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