On noise, uncertainty and inference for computational
diffusion MRI

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On noise, uncertainty and inference for computational diffusion MRI

Diffusion Magnetic Resonance Imaging (dMRI) has revolutionised the way brain microstructure and connectivity can be studied. Despite its unique potential in mapping the whole brain, biophysical properties are inferred from measurements rather than being directly observed. This indirect mapping from...

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Bibliographic Details
Main Author:	Manzano Patron, Jose Pedro
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2023
Subjects:	diffusion MRI uncertainty noise modelling denoising inference bayesian inference MCMC neural networks amortised inference simulation-based inference normalising flows
Online Access:	https://eprints.nottingham.ac.uk/74189/

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