Fiot, Jean-Baptiste
Raguet, Hugo
Risser, Laurent
Cohen, Laurent D.
Fripp, Jurgen
Vialard, François-Xavier
Funding for this research was provided by:
National Institutes of Health (U01 AG024904)
DOD ADNI (W81XWH-12-2-0012)
National Institute on Aging
National Institute of Biomedical Imaging and Bioengineering
Alzheimer's Association
Alzheimer's Drug Discovery Foundation
BioClinica, Inc.
Biogen Idec, Inc.
Bristol-Myers Squibb Company
Eisai Inc.
Elan Pharmaceuticals, Inc.
Eli Lilly and Company
F. Hoffmann-La Roche Ltd.
Genentech, Inc.
GE Healthcare
Innogenetics, N.V.
IXICO Ltd.
Janssen Alzheimer Immunotherapy Research & Development, LLC.
Johnson & Johnson Pharmaceutical Research & Development LLC.
Medpace, Inc.
Merck & Co., Inc.
Meso Scale Diagnostics, LLC.
NeuroRx Research
Novartis Pharmaceuticals Corporation
Pfizer Inc.
Piramal Imaging
Servier
Synarc Inc.
Takeda Pharmaceutical Company
Canadian Institutes of Health Research
Foundation for the National Institutes of Health
Northern California Institute for Research and Education
This article is maintained by: Elsevier
Article Title: Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression
Journal Title: NeuroImage: Clinical
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.nicl.2014.02.002
Content Type: article
Copyright: Copyright © 2014 The Authors. Published by Elsevier Inc.