Professor Maxime Descoteaux

Université de Sherbrooke, Department of Computer Science

Research interests: Diffusion MRI acquisition, processing and visualization to infer white-matter connectivity in the human brain - [website]

Dr. Descoteaux is an Assistant Professor in the Department of Computer Science at Sherbrooke University and is a member of the Centre de Recherche Clinique Étienne-Le Bel. His techniques are applied in neurosurgical planning and neuroimaging studies of the aging white matter with collaborators at the CHUS (Centre Hospitalier Universitaire de Sherbrooke). He has obtained several grants as principal investigator (NSERC, MDEIE, CFI). He has published numerous peer- reviewed journal articles and has received several prizes for his research. These include the “Chercheur Étoile” (CREPUQ 2010), being named the best researcher in 2010 at Sherbrooke University, a Discovery of the year Quebec Science award in 2009, the Herbsmann Prize at the prestigious IPMI conference in 2010, and an award for the best PhD thesis in information technology in France in 2008.

Related content: François Rheault; Russell Butler; Jasmeen Sidhu; Michael Paquette; Samuel St-Jean; Eleftherios Garyfallidis; Alexandre Bizeau; Etienne St-Onge; SCIL's imagery and videos featured in February's National Geographic Magazine; dMRI Mini-course; Compressive Sensing DSI; A Separable Approximation to DSI Deconvolution; Cartesian 3D-SHORE with Laplacian Regularization; Tractometer: Towards Validation of Tractography Pipelines; Real time interaction with millions of streamlines; Particle Swarm Optimization in Multi-Tensor Imaging; Constrained spherical deconvolution on signal and odf values; Streamlines non-linear registration using MR-Ultrasound for intra-operative brain shift correction; Direct native-space fiber bundle alignment for group comparisons; Spherical Deconvolution on single shell and multishell combined with denoising; Deconvolution enhanced Generalized Q-Sampling 2 and DSI deconvolution; Ultra-short TE MRI for localization of EEG electrodes during simultaneous EEG-FMRI; Dipy, a library for the analysis of diffusion MRI data; Robust and efficient linear registration of white-matter fascicles in the space of streamlines; On the computation of integrals over fixed-size rectangles of arbitrary dimension.; Optimal DSI reconstruction parameter recommendations: Better ODFs and better connectivity; A comparison of sampling strategies and sparsifying transforms to improve Compressed Sensing DSI; QuickBundlesX: Sequential clustering of millions of streamlines in multiple levels of detail at record execution time; 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; How to perform best ODF reconstruction from the Human Connectome Project sampling scheme?; Surface tracking from the cortical mesh complements diffusion MRI fiber tracking near the cortex; Comparison between discrete and continuous propagator indices from Cartesian q-space DSI sampling; Connectome-like quality diffusion MRI in 13 minutes - Improving diffusion MRI spatial resolution with denoising; Arterial segmentation and visual stimulus-induced changes in diameter observed in the human brain; Quality of subjects specific and single trial gamma and alpha/beta power acquired simultaneously with multi-band BOLD; The impact of a new sampling theorem for non-bandlimited functions on the sphere: HARDI at the price of DTI?; The new methods available in Dipy 0.7.0+ that you should know about; The application of a new sampling theorem for non-bandlimited signals on the sphere: Improving the recovery of crossing fibers for low b-value acquisitions; Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI; Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?; CREATE-MIA Summer School 2013; Predominance of association fibre connectivity in lateral regions of the pre- and post- central gyrus