Longitudinal score prediction for Alzheimer's disease based on ensemble correntropy and spatial-temporal constraint.
Neuroimaging data has been widely used to predict clinical scores for automatic diagnosis of Alzheimer's disease (AD). For accurate clinical score prediction, one of the major challenges is high feature dimension of the imaging data. To address this issue, this paper presents an effective framework...
| Publicado en: | Brain Imaging & Behavior Vol. 13; no. 1; pp. 126 - 138 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2019
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| Acceso en línea: | Ver este registro en EBSCOhost |