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Learning distributions of shape trajectories from longitudinal datasets:
  a hierarchical model on a manifold of diffeomorphisms

Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms

27 March 2018
Alexandre Bône
O. Colliot
S. Durrleman
ArXivPDFHTML

Papers citing "Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms"

6 / 6 papers shown
Title
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Edwin Tay
Nazli Tümer
Amir A. Zadpoor
MedIm
163
0
0
27 Mar 2025
Parallel transport in shape analysis: a scalable numerical scheme
Parallel transport in shape analysis: a scalable numerical scheme
M. Louis
Alexandre Bône
Benjamin Charlier
S. Durrleman
20
15
0
23 Nov 2017
Statistical learning of spatiotemporal patterns from longitudinal
  manifold-valued networks
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
Igor Koval
Jean-Baptiste Schiratti
A. Routier
Michael Bacci
O. Colliot
S. Allassonnière
S. Durrleman
15
23
0
25 Sep 2017
The varifold representation of non-oriented shapes for diffeomorphic
  registration
The varifold representation of non-oriented shapes for diffeomorphic registration
N. Charon
A. Trouvé
3DH
51
159
0
22 Apr 2013
Polynomial Regression on Riemannian Manifolds
Polynomial Regression on Riemannian Manifolds
Jacob D. Hinkle
Prasanna Muralidharan
P. T. Fletcher
S. Joshi
51
62
0
11 Jan 2012
Construction of Bayesian Deformable Models via Stochastic Approximation
  Algorithm: A Convergence Study
Construction of Bayesian Deformable Models via Stochastic Approximation Algorithm: A Convergence Study
S. Allassonnière
E. Kuhn
A. Trouvé
209
109
0
06 Jun 2007
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