| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6032313 | NeuroImage | 2012 | 9 Pages |
Abstract
âºCross-sectional and longitudinal FDG-PET for classification of Alzheimer's disease. âºMulti-region FDG-PET analysis using automatically generated whole-brain segmentations. âºCombining cross-sectional and longitudinal features improves classifier performance. âºState-of-the-art classification of diagnostic groups using serial FDG-PET.
Keywords
Related Topics
Life Sciences
Neuroscience
Cognitive Neuroscience
Authors
Katherine R. Gray, Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert, for the Alzheimer's Disease Neuroimaging Initiative for the Alzheimer's Disease Neuroimaging Initiative,