Samuel St-Jean

Postdoctoral Researcher

Lund University, Sweden

Hi there!

Welcome to my small website, where you can find things I am currently doing and my previous publications about diffusion MRI.

Interests

Diffusion MRI

Education

PhD in Medical Imaging, 2020
University Medical Center Utrecht
MSc in Computer Science, 2015
Université de Sherbrooke
BSc in Mathematics, 2012
Université de Sherbrooke

Featured Publications

Some of my first author stuff

Harmonization of diffusion MRI datasets with adaptive dictionary learning

Diffusion weighted magnetic resonance imaging is a noninvasive imaging technique which can indirectly infer the microstructure of …

Samuel St-Jean, Max A. Viergever, Alexander Leemans

Automated characterization of noise distributions in diffusion MRI data

Knowledge of the noise distribution in diffusion MRI is the centerpiece to quantify uncertainties arising from the acquisition process. …

Samuel St-Jean, Alberto De Luca, Chantal M. W. Tax, Max A. Viergever, Alexander Leemans

Reducing variability in along-tract analysis with diffusion profile realignment

Diffusion weighted MRI (dMRI) provides a non invasive virtual reconstruction of the brain’s white matter structures through …

Samuel St-Jean, Maxime Chamberland, Max A. Viergever, Alexander Leemans

Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising

Diffusion magnetic resonance imaging datasets suffer from low Signal-to-Noise Ratio, especially at high b-values. Acquiring data at …

Samuel St-Jean, Pierrick Coupé, Maxime Descoteaux

Recent Publications

Things I have been doing

Consensus-based guidance for conducting and reporting multi-analyst studies

Balazs Aczel, Barnabas Szaszi, Gustav Nilsonne, Olmo R van den Akker, Casper J Albers, Marcel ALM van Assen, Jojanneke A Bastiaansen, Daniel Benjamin, Udo Boehm, Rotem Botvinik-Nezer, Laura F Bringmann, Niko A Busch, Emmanuel Caruyer, Andrea M Cataldo, Nelson Cowan, Andrew Delios, Noah NN van Dongen, Chris Donkin, Johnny B van Doorn, Anna Dreber, Gilles Dutilh, Gary F Egan, Morton Ann Gernsbacher, Rink Hoekstra, Sabine Hoffmann, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Kai J Jonas, Alexander T Kindel, Michael Kirchler, Yoram K Kunkels, D Stephen Lindsay, Jean-Francois Mangin, Dora Matzke, Marcus R Munafò, Ben R Newell, Brian A Nosek, Russell A Poldrack, Don van Ravenzwaaij, Jörg Rieskamp, Matthew J Salganik, Alexandra Sarafoglou, Tom Schonberg, Martin Schweinsberg, David Shanks, Raphael Silberzahn, Daniel J Simons, Barbara A Spellman, Samuel St-Jean, Jeffrey J Starns, Eric Luis Uhlmann, Jelte Wicherts, Eric-Jan Wagenmakers

Harmonization of diffusion MRI datasets with adaptive dictionary learning

Samuel St-Jean, Max A. Viergever, Alexander Leemans

Automated characterization of noise distributions in diffusion MRI data

Samuel St-Jean, Alberto De Luca, Chantal M. W. Tax, Max A. Viergever, Alexander Leemans

Restoration and characterization of diffusion MRI data

Automated feature extraction across scanners for harmonization of diffusion MRI datasets

Samuel St-Jean, Max A. Viergever, Alexander Leemans

See all publications

Open source stuff

Implementations that are freely available online

Automated characterization of noise distributions in diffusion MRI data

Estimate any noise distribution from magnitude data only

Automated characterization of noise distributions in diffusion MRI data

Diffusion profile realignment

Making your along-tract analysis reliable

Non Local Spatial and Angular Matching (NLSAM) denoising

Denoising for diffusion MRI using dictionary learning

Non Local Spatial and Angular Matching (NLSAM) denoising

Contact

Drop me a line

firstname.st_jean@med.lu.se