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GEODESIC REGRESSION OF IMAGE AND SHAPE DATA FOR IMPROVED MODELING OF 4D TRAJECTORIES.Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.Geodesic shape regression with multiple geometries and sparse parameters.Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.Modeling 4D Pathological Changes by Leveraging Normative Models.Subject-Specific Longitudinal Shape Analysis by Coupling Spatiotemporal Shape Modeling with Medial Analysis.Revolution of Alzheimer Precision Neurology Passageway of Systems Biology and Neurophysiology.Brain structure in sagittal craniosynostosis.Diffeomorphic shape trajectories for improved longitudinal segmentation and statisticsSpatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Geodesic shape regression in the framework of currents.
@en
type
label
Geodesic shape regression in the framework of currents.
@en
prefLabel
Geodesic shape regression in the framework of currents.
@en
P2093
P2860
P1476
Geodesic shape regression in the framework of currents
@en
P2093
James Fishbaugh
Marcel Prastawa
Stanley Durrleman
P2860
P304
P356
10.1007/978-3-642-38868-2_60
P50
P577
2013-01-01T00:00:00Z