Samuel St-Jean

Computer Science, Université de Sherbrooke

I am a Master's student at the Sherbrooke Connectivity Imaging Lab (SCIL) under the supervision of Professor Maxime Descoteaux. I did my B.Sc in Mathematics at the Université de Sherbrooke. My current work aims toward improving the image and reconstruction quality of diffusion MRI acquisitions through the use of smart, data-aware denoising and upsampling. [website]

Related content: Professor Maxime Descoteaux; dMRI Mini-course; Diffusion MRI denoising through sparse coding; Cartesian 3D-SHORE with Laplacian Regularization; Particle Swarm Optimization in Multi-Tensor Imaging; Constrained spherical deconvolution on signal and odf values; Non Local Spatial and Angular Matching : a new denoising technique for diffusion MRI; Deconvolution enhanced Generalized Q-Sampling 2 and DSI deconvolution; Spherical Deconvolution on single shell and multishell combined with denoising; Acquisitions d’irm de diffusion à haute résolution spatiale: nouvelles perspectives grâce au débruitage spatialement adaptatif et angulaire; Non Local Spatial and Angular Matching: a new denoising technique for diffusion MRI; Non Local Spatial and Angular Matching: a new denoising technique for diffusion MRI; Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising; Connectome-like quality diffusion MRI in 13 minutes - Improving diffusion MRI spatial resolution with denoising; The new methods available in Dipy 0.7.0+ that you should know about; Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?