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Conference papers

A modular multi-scale model to build atlases of shapes with large deformations

Barbara Gris 1, 2 Stanley Durrleman 2 Alain Trouvé 1
2 ARAMIS - Algorithms, models and methods for images and signals of the human brain
Inria Paris-Rocquencourt, UPMC - Université Pierre et Marie Curie - Paris 6, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
Abstract : A central aspect of Computational Anatomy is the description of the variations among a population of shapes. A common approach to study them is the computation of an atlas, namely an average template shape and a family of template-to-subject deformations. Large deformations are often obtained through the integration of a vector field, deformation models vary therefore according to the model of vector fields. We present here a new model for large deformations in which vector fields are modular and multi-scale, which favours sparsity of parametrisation and its interpretability.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01191547
Contributor : Barbara Gris Connect in order to contact the contributor
Submitted on : Wednesday, September 2, 2015 - 10:03:54 AM
Last modification on : Thursday, April 15, 2021 - 3:31:35 AM

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  • HAL Id : hal-01191547, version 1

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Barbara Gris, Stanley Durrleman, Alain Trouvé. A modular multi-scale model to build atlases of shapes with large deformations. Organization for Human Brain Mapping 2015, Jun 2015, Honolulu, United States. pp.1. ⟨hal-01191547⟩

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