no code implementations • MIDL 2019 • Achraf Essemlali, Etienne St-Onge, Jean Christophe Houde, Pierre Marc Jodoin, Maxime Descoteaux
In the following work, we use a modified version of deep BrainNet convolutional neural network (CNN) trained on the diffusion weighted MRI (DW-MRI) tractography connectomes of patients with Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI) to better understand the structural connectomics of that disease.
