112 citations · 298 across the 25 of their papers we have counts for
Showing stat.APShow all
2 papers · 1 filter
stat.AP2017★ 21 cited
Bayesian uncertainty quantification in linear models for diffusion MRI
Jens Sjölund, Anders Eklund, Evren Özarslan +3
Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue microstructure. By fitting a model to the dMRI signal it is possible to derive various quantitative features. Se…
stat.AP2016★ 7 cited
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging
Jens Sjölund, Anders Eklund, Evren Özarslan +1
We propose to use Gaussian process regression to accurately estimate the diffusion MRI signal at arbitrary locations in q-space. By estimating the signal on a grid, we can do synth…