Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease
Open Access
- 15 July 2010
- journal article
- research article
- Published by Elsevier BV in NeuroImage
- Vol. 51 (4), 1345-1359
- https://doi.org/10.1016/j.neuroimage.2010.03.018
Abstract
No abstract availableFunding Information
- National Center for Research Resources (R01 RR021885)
- National Institute of Biomedical Imaging and Bioengineering (R01 EB008015)
- TSB (M1638A)
- Medical Research Council (UK)
- Kirby Laing Foundation
This publication has 82 references indexed in Scilit:
- LEAP: Learning embeddings for atlas propagationNeuroImage, 2010
- A meta-analysis of hippocampal atrophy rates in Alzheimer's diseaseNeurobiology of Aging, 2009
- Defining the human hippocampus in cerebral magnetic resonance images—An overview of current segmentation protocolsNeuroImage, 2009
- Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: Method and validationNeuroImage, 2009
- Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNIHippocampus, 2009
- Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controlsNeuroImage, 2008
- The Alzheimer's disease neuroimaging initiative (ADNI): MRI methodsJournal of Magnetic Resonance Imaging, 2008
- Construction of a 3D probabilistic atlas of human cortical structuresNeuroImage, 2008
- Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structuresNeuroImage, 2008
- Neuropathological stageing of Alzheimer-related changesActa Neuropathologica, 1991