Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression.
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Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO.Spatio-Temporal Regularization for Longitudinal Registration to Subject-Specific 3d Template.Detection of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Longitudinal Brain MRI.Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding.
P2860
Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Longitudinal deformation model ...... zheimer's disease progression.
@ast
Longitudinal deformation model ...... zheimer's disease progression.
@en
type
label
Longitudinal deformation model ...... zheimer's disease progression.
@ast
Longitudinal deformation model ...... zheimer's disease progression.
@en
prefLabel
Longitudinal deformation model ...... zheimer's disease progression.
@ast
Longitudinal deformation model ...... zheimer's disease progression.
@en
P2093
P2860
P1433
P1476
Longitudinal deformation model ...... zheimer's disease progression.
@en
P2093
François-Xavier Vialard
Hugo Raguet
Jean-Baptiste Fiot
Jurgen Fripp
Laurent D Cohen
Laurent Risser
P2860
P304
P356
10.1016/J.NICL.2014.02.002
P577
2014-04-01T00:00:00Z