Fiber tractography using machine learning-Reference-Cited by-同舟云学术

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Fiber tractography using machine learning

Published:2017-09 Issue: Volume:158 Page:417-429
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Neher Peter F.,Côté Marc-Alexandre,Houde Jean-Christophe,Descoteaux Maxime,Maier-Hein Klaus H.

Funder

16 NIH Institutes and Centers

McDonnell Center

Collaborative Research Center

German Research Foundation

DFG

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference66 articles.

1. A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography;Aganj;Med. Image Anal.,2011

2. ODF reconstruction in q-ball imaging with solid angle consideration;Aganj,2009

3. Maximum entropy spherical deconvolution for diffusion MRI;Alexander,2005

4. Image quality transfer and applications in diffusion MRI;Alexander;Neuroimage,2017

5. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain;Assaf;Neuroimage,2005

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4. Computational approaches for the reconstruction of optic nerve fibers along the visual pathway from medical images: a comprehensive review;Frontiers in Neuroscience;2023-05-26

5. Validate your white matter tractography algorithms with a reappraised ISMRM 2015 Tractography Challenge scoring system;Scientific Reports;2023-02-09

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