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A stochastic large deformation model for computational anatomy
Alexis Arnaudon, Darryl D. Holm,
Akshay Sadananda Uppinakudru Pai
,
Stefan Horst Sommer
*
*
Corresponding author af dette arbejde
Datalogisk Institut
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Keyphrases
Computational Anatomy
100%
Large Deformation Diffeomorphic Metric Mapping (LDDMM)
100%
Estimation Problem
50%
Random Variation
50%
Data Likelihood
50%
Disease-specific
50%
Inter-subject
50%
Expectation-maximization Algorithm
50%
Template Estimation
50%
Anatomical Differences
50%
Human Organs
50%
Noise Measurement
50%
Corpus Callosum
50%
Geometric Properties
50%
Noise Field
50%
Mapping Framework
50%
Shape Data
50%
Estimation Algorithms
50%
Flow Algorithms
50%
Finite Sets
50%
Stochastic Model
50%
Synthetic Instances
50%
Mathematics
Stochastic Model
100%
Geometrical Property
100%
Differential Equation
100%
Variance
100%
Random Variation
100%
Gradient Flow
100%
Finite Set
100%
Time Evolution
100%
Expectation-Maximization Algorithm
100%
Approximates
100%
Stochastics
100%
Computer Science
Computational Anatomy
100%
Estimation Algorithm
50%