most citedMerging multiple input descriptors and supervisors in a deep neural network for tractogram filtering

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2023

A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templates

Jingru Fu, Daniel Ferreira, Örjan Smedby +1

Alzheimer's Disease and normal aging are both characterized by brain atrophy. The question of whether AD-related brain atrophy represents accelerated aging or a neurodegeneration p…

cs.CV2023★ 3 cited

Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering

Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux +1

One of the main issues of the current tractography methods is their high false-positive rate. Tractogram filtering is an option to remove false-positive streamlines from tractograp…