33 citations · 149 across the 8 of their papers we have counts for
5 papers · 1 filter
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
Fenghua Guo, Alexander Leemans, Max A. Viergever +2
Spherical deconvolution is a widely used approach to quantify fiber orientation distribution from diffusion MRI data. The damped Richardson-Lucy (dRL) is developed to perform robus…
Harmonization of diffusion MRI datasets with adaptive dictionary learning
Samuel St-Jean, Max A. Viergever, Alexander Leemans
Diffusion magnetic resonance imaging is a noninvasive imaging technique that can indirectly infer the microstructure of tissues and provide metrics which are subject to normal vari…
Automated characterization of noise distributions in diffusion MRI data
Samuel St-Jean, Alberto De Luca, Chantal M. W. Tax +2
Knowledge of the noise distribution in diffusion MRI is the centerpiece to quantify uncertainties arising from the acquisition process. Accurate estimation beyond textbook distribu…
On the sensitivity of the diffusion MRI signal to brain activity in response to a motor cortex paradigm
Alberto De Luca, Lara Schlaffke, Jeroen CW Siero +2
Diffusion functional MRI (dfMRI) is a promising technique to map functional activations by acquiring diffusion-weighed spin-echo images. In previous studies, dfMRI showed higher sp…
Reducing variability in along-tract analysis with diffusion profile realignment
Samuel St-Jean, Maxime Chamberland, Max A. Viergever +1
Diffusion weighted MRI (dMRI) provides a non invasive virtual reconstruction of the brain's white matter structures through tractography. Analyzing dMRI measures along the trajecto…