Alzheimer's Disease Neuroimaging Initiative
NeuroImage · 2008–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Whom Alzheimer's Disease Neuroimaging Initiative trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Alzheimer's Disease Neuroimaging Initiative overall
Papers from Alzheimer's Disease Neuroimaging Initiative's perspective
Ordered by how strongly the researchers Alzheimer's Disease Neuroimaging Initiative trusts endorse each paper. Same corpus, a different order for every researcher.
- HAMMER: hierarchical attribute matching mechanism for elastic registration (IEEE Transactions on Medical Imaging)
- Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
- COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements
- Automatic Differentiation of Anatomical Patterns in the Human Brain: Validation with Studies of Degenerative Dementias (NeuroImage)
- Preclinical detection of Alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly (NeuroImage)
- Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection (NeuroImage)
- Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy
- Morphological classification of brains via high-dimensional shape transformations and machine learning methods (NeuroImage)
- Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas.
- Support vector machines for temporal classification of block design fMRI data (NeuroImage)