Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data-Reference-Cited by-同舟云学术

Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data

Published:2020-01 Issue: Volume:205 Page:116266
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Abi Nader Clément,Ayache Nicholas,Robert Philippe,Lorenzi Marco

Funder

Université Côte d’Azur

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference42 articles.

1. A fast diffeomorphic image registration algorithm;Ashburner;Neuroimage,2007

2. Voxel-based morphometry–the methods;Ashburner;Neuroimage,2000

3. Clinical and biomarker changes in dominantly inherited alzheimer’s disease;Bateman;N. Engl. J. Med.,2012

4. Temporal trajectory and progression score estimation from voxelwise longitudinal imaging measures: application to amyloid imaging;Bilgel;Inf. Process Med. Imaging,2015

5. Brain PET in suspected dementia: patterns of altered FDG metabolism;Brown;RadioGraphics,2014

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