Learn to Track: Deep Learning for Tractography
Philippe Poulin, Marc-Alexandre Côté, Jean‐Christophe Houde, Laurent Petit, Peter Neher, Klaus Hermann Maier-Hein, Hugo Larochelle, Maxime Descoteaux
This paper applies deep learning to fiber tractography, showing models can generate streamlines from DWI data and outperform traditional methods in accuracy and false connection control.
Lecture notes in computer science · Jan 1, 2017Peer-reviewedNeuroscience