collaborators

5 papers

stat.ME2019

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…

physics.app-ph2018

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…

stat.AP2018

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…

cs.CV2018

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…

stat.AP2018

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…