Joint maximum likelihood estimation of motion and T1 parameters from magnetic resonance images in a super-resolution framework: a simulation study

dc.contributor.author	Beirinckx, Quinten
dc.contributor.author	Ramos--Llorden, G.
dc.contributor.author	Jeurissen, Ben
dc.contributor.author	Poot, D.H.J.
dc.contributor.author	Parizel, P.M.
dc.contributor.author	Verhoye, Marleen
dc.contributor.author	Sijbers, Jan
dc.contributor.author	den Dekker, Arnold Jan
dc.contributor.imecauthor	Beirinckx, Quinten
dc.contributor.imecauthor	Jeurissen, Ben
dc.contributor.imecauthor	Sijbers, Jan
dc.contributor.orcidimec	Sijbers, Jan::0000-0003-4225-2487
dc.date.accessioned	2021-10-28T20:16:45Z
dc.date.available	2021-10-28T20:16:45Z
dc.date.issued	2020-02
dc.identifier.issn	0169-2968
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/34722
dc.identifier.url	https://doi.org/10.3233/FI-2020-1896
dc.source.beginpage	105
dc.source.endpage	128
dc.source.issue	2
dc.source.journal	Fundamenta Informaticae
dc.source.volume	172
dc.title	Joint maximum likelihood estimation of motion and T1 parameters from magnetic resonance images in a super-resolution framework: a simulation study
dc.type	Journal article
dspace.entity.type	Publication
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