83 citations · 158 across the 5 of their papers we have counts for
5 papers
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…
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…
Automatic, fast and robust characterization of noise distributions for diffusion MRI
Samuel St-Jean, Alberto De Luca, Max A. Viergever +1
Knowledge of the noise distribution in magnitude diffusion MRI images is the centerpiece to quantify uncertainties arising from the acquisition process. The use of parallel imaging…
Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Samuel St-Jean, Pierrick Coupé, Maxime Descoteaux
Diffusion magnetic resonance imaging datasets suffer from low Signal-to-Noise Ratio, especially at high b-values. Acquiring data at high b-values contains relevant information and…