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20102023
most citedA Geometric Framework for Stochastic Shape Analysis

33 citations · 116 across the 33 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cs.CG2017

Differential geometry and stochastic dynamics with deep learning numerics

Line Kühnel, Alexis Arnaudon, Stefan Sommer

In this paper, we demonstrate how deterministic and stochastic dynamics on manifolds, as well as differential geometric constructions can be implemented concisely and efficiently u…

cs.CV2017★ 1 cited

Stochastic metamorphosis with template uncertainties

Alexis Arnaudon, Darryl Holm, Stefan Sommer

In this paper, we investigate two stochastic perturbations of the metamorphosis equations of image analysis, in the geometrical context of the Euler-Poincaré theory. In the metamor…

cs.OH2017★ 1 cited

Computational Anatomy in Theano

Line Kühnel, Stefan Sommer

To model deformation of anatomical shapes, non-linear statistics are required to take into account the non-linear structure of the data space. Computer implementations of non-linea…

cs.CV2017★ 3 cited

Bridge Simulation and Metric Estimation on Landmark Manifolds

Stefan Sommer, Alexis Arnaudon, Line Kuhnel +1

We present an inference algorithm and connected Monte Carlo based estimation procedures for metric estimation from landmark configurations distributed according to the transition d…

cs.CV2017

A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images

Akshay Pai, Stefan Sommer, Lars Lau Raket +4

Template estimation plays a crucial role in computational anatomy since it provides reference frames for performing statistical analysis of the underlying anatomical population var…

cs.CV2017★ 33 cited

A Geometric Framework for Stochastic Shape Analysis

Alexis Arnaudon, Darryl D. Holm, Stefan Sommer

We introduce a stochastic model of diffeomorphisms, whose action on a variety of data types descends to stochastic evolution of shapes, images and landmarks. The stochasticity is i…

cs.OH2017

Stochastic Development Regression on Non-Linear Manifolds

Line Kühnel, Stefan Sommer

We introduce a regression model for data on non-linear manifolds. The model describes the relation between a set of manifold valued observations, such as shapes of anatomical objec…