Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes

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Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes

Diffusion MRI offers great potential in studying the human brain microstructure and connectivity. However, diffusion images are marred by technical problems, such as image distortions and spurious signal loss. Correcting for these problems is non-trivial and relies on having a mechanism that predict...

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Bibliographic Details
Main Authors:	Andersson, Jesper L.R., Sotiropoulos, Stamatios N.
Format:	Article
Published:	Elsevier 2015
Subjects:	Diffusion MRI; Gaussian process; Non-parametric representation; Multi-shell
Online Access:	https://eprints.nottingham.ac.uk/50942/

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