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1803.10119
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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
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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
Edwin Tay
Nazli Tümer
Amir A. Zadpoor
MedIm
161
0
0
27 Mar 2025
Parallel transport in shape analysis: a scalable numerical scheme
M. Louis
Alexandre Bône
Benjamin Charlier
S. Durrleman
18
15
0
23 Nov 2017
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
13
23
0
25 Sep 2017
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
Jacob D. Hinkle
Prasanna Muralidharan
P. T. Fletcher
S. Joshi
49
62
0
11 Jan 2012
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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