Longitudinal High-Dimensional Principal Components Analysis with Application to Diffusion Tensor Imaging of Multiple Sclerosis.
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Functional Nonlinear Mixed Effects Models for Longitudinal Image DataBayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studiesStatistical image analysis of longitudinal RAVENS imagesQuantifying the lifetime circadian rhythm of physical activity: a covariate-dependent functional approach.Parametrization of white matter manifold-like structures using principal surfaces.Making use of longitudinal information in pattern recognition.
P2860
Longitudinal High-Dimensional Principal Components Analysis with Application to Diffusion Tensor Imaging of Multiple Sclerosis.
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name
Longitudinal High-Dimensional ...... Imaging of Multiple Sclerosis.
@en
type
label
Longitudinal High-Dimensional ...... Imaging of Multiple Sclerosis.
@en
prefLabel
Longitudinal High-Dimensional ...... Imaging of Multiple Sclerosis.
@en
P2093
P2860
P356
P1476
Longitudinal High-Dimensional ...... Imaging of Multiple Sclerosis.
@en
P2093
Brian Caffo
Daniel S Reich
Haochang Shou
Sonja Greven
P2860
P304
P356
10.1214/14-AOAS748
P577
2014-01-01T00:00:00Z
P698
P818
1501.04420