53 citations · 77 across the 3 of their papers we have counts for
4 papers
Supervised Tractogram Filtering using Geometric Deep Learning
Pietro Astolfi, Ruben Verhagen, Laurent Petit +5
A tractogram is a virtual representation of the brain white matter. It is composed of millions of virtual fibers, encoded as 3D polylines, which approximate the white matter axonal…
FIESTA: Autoencoders for accurate fiber segmentation in tractography
Félix Dumais, Jon Haitz Legarreta, Carl Lemaire +7
White matter bundle segmentation is a cornerstone of modern tractography to study the brain's structural connectivity in domains such as neurological disorders, neurosurgery, and a…
Filtering in tractography using autoencoders (FINTA)
Jon Haitz Legarreta, Laurent Petit, François Rheault +4
Current brain white matter fiber tracking techniques show a number of problems, including: generating large proportions of streamlines that do not accurately describe the underlyin…
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
Pietro Astolfi, Ruben Verhagen, Laurent Petit +4
Tractograms are virtual representations of the white matter fibers of the brain. They are of primary interest for tasks like presurgical planning, and investigation of neuroplastic…