3.7k citations · 3.9k across the 9 of their papers we have counts for
10 papers
Anatomically informed Bayesian spatial priors for fMRI analysis
David Abramian, Per Sidén, Hans Knutsson +2
Existing Bayesian spatial priors for functional magnetic resonance imaging (fMRI) data correspond to stationary isotropic smoothing filters that may oversmooth at anatomical bounda…
Orientationally-averaged diffusion-attenuated magnetic resonance signal for locally-anisotropic diffusion
Magnus Herberthson, Cem Yolcu, Hans Knutsson +2
Diffusion-attenuated MR signal for heterogeneous media has been represented as a sum of signals from anisotropic Gaussian sub-domains. Any effect of macroscopic (global or ensemble…
Reply to Chen et al.: Parametric methods for cluster inference perform worse for two-sided t-tests
Anders Eklund, Hans Knutsson, Thomas E. Nichols
One-sided t-tests are commonly used in the neuroimaging field, but two-sided tests should be the default unless a researcher has a strong reason for using a one-sided test. Here we…
Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks
Xuan Gu, Hans Knutsson, Markus Nilsson +1
Diffusion magnetic resonance imaging (diffusion MRI) is a non-invasive microstructure assessment technique. Scalar measures, such as FA (fractional anisotropy) and MD (mean diffusi…
Cluster Failure Revisited: Impact of First Level Design and Data Quality on Cluster False Positive Rates
Anders Eklund, Hans Knutsson, Thomas E Nichols
Methodological research rarely generates a broad interest, yet our work on the validity of cluster inference methods for functional magnetic resonance imaging (fMRI) created intens…
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…