Hans E. Knutsson

The paper compares methods for computing orientationally-averaged diffusion-weighted MRI signals, finding that MAP-MRI provides better accuracy under low SNR and sparse sampling.

This paper introduces anatomically informed Bayesian spatial models for fMRI analysis that improve posterior probability maps by incorporating anatomical structure.

This paper quantifies uncertainty in MAP-MRI derived metrics using residual bootstrap methods, showing that resampling within each shell generates larger uncertainty than using all shells.

The paper revisits cluster inference methods in fMRI, finding that data cleaning and two-sided tests reduce false positive rates, and estimates 10% of fMRI studies use problematic methods.