11 citations · 24 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
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…
Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering
Antonia Hain, Daniel Jörgens, Rodrigo Moreno
Tractography has become an indispensable part of brain connectivity studies. However, it is currently facing problems with reliability. In particular, a substantial amount of nerve…