no code implementations • 30 Nov 2022 • Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Muhamed Barakovic, Stefano Magon, Maxime Descoteaux, Pierre-Marc Jodoin
Our proposed method improves bundle segmentation coverage by recovering hard-to-track bundles with generative sampling through the latent space seeding of the subject bundle and the atlas bundle.
1 code implementation • 2 Dec 2020 • Marco Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin
In this paper, we explore a process called neural teleportation, a mathematical consequence of applying quiver representation theory to neural networks.
no code implementations • 7 Oct 2020 • Jon Haitz Legarreta, Laurent Petit, François Rheault, Guillaume Theaud, Carl Lemaire, Maxime Descoteaux, Pierre-Marc Jodoin
Current brain white matter fiber tracking techniques show a number of problems, including: generating large proportions of streamlines that do not accurately describe the underlying anatomy; extracting streamlines that are not supported by the underlying diffusion signal; and under-representing some fiber populations, among others.
no code implementations • CVPR 2019 • Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin
Pruning methods have shown to be effective at reducing the size of deep neural networks while keeping accuracy almost intact.