LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

DOI10.1080/01621459.2022.2102984zbMath1514.62283OpenAlexW4286001865MaRDI QIDQ6107180

Hong-Tu Zhu, Zhengwu Zhang, Di Xiong, Joseph G. Ibrahim, Unnamed Author, Anuj Srivastava

Publication date: 3 July 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2022.2102984

zbMATH Keywords

Alzheimer's diseaseelastic shape analysisprincipal components analysislongitudinal shape trajectorysubcortical structures

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures” ⋮ Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures” ⋮ Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

Cites Work

• Rate-invariant analysis of covariance trajectories
• Principal component analysis for functional data on Riemannian manifolds and spheres
• Geodesic regression and the theory of least squares on Riemannian manifolds
• Geodesic shooting for computational anatomy
• Phase-Amplitude Separation and Modeling of Spherical Trajectories
• Principal component models for sparse functional data
• Functional Data Analysis for Sparse Longitudinal Data
• Shapes and diffeomorphisms
• Modeling sparse longitudinal data on Riemannian manifolds

This page was built for publication: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures