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02774cam a2200493 4500 |
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PPN240929799 |
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http://www.sudoc.fr/240929799 |
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20220518055800.0 |
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|a 0-12-814725-3
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|a 978-0-12-814725-2
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|a (OCoLC)1128025962
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|a eng
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|a US
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1 |
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|a Riemannian Geometric Statistics in Medical Image Analysis
|f edited by Xavier Pennec, Stefan Sommer and Tom Fletcher
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|a San Diego
|c Academic Press
|d cop. 2020
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| 215 |
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|a 1 vol. (XIX-614 p.)
|c ill.
|d 24 cm
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| 300 |
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|a Part 1 Foundations of geometric statistics Chapter 1 Introduction to differential and Riemannian geometry Chapter 2 Statistics on manifolds Chapter 3 Manifold-valued image processing with SPD matrices Chapter 4 Riemannian geometry on shapes and diffeomorphisms Chapter 5 Beyond Riemannian geometry Part 2 Statistics on manifolds and shape spaces Chapter 6 Object shape representation via skeletal models (s-reps) and statistical analysis Chapter 7 Efficient recursive estimation of the Riemannian barycenter on the hypersphere and the special orthogonal group with applications Chapter 8 Statistics on stratified spaces Chapter 9 Bias on estimation in quotient space and correction methods Chapter 10 Probabilistic approaches to geometric statistics Chapter 11 On shape analysis of functional data Part 3 Deformations, diffeomorphisms and their applications Chapter 12 Fidelity metrics between curves and surfaces: currents, varifolds, and normal cycles Chapter 13 A discretize-optimize approach for LDDMM registration Chapter 14 Spatially adaptive metrics for diffeomorphic image matching in LDDMM Chapter 15 Low-dimensional shape analysis in the space of diffeomorphisms Chapter 16 Diffeomorphic density registration
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| 320 |
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|a Réf. bibliogr. en fin de chapitre. Index
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| 606 |
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|3 PPN040693031
|a Imagerie diagnostique
|2 rameau
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| 606 |
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|3 PPN031461972
|a Géométrie de Riemann
|2 rameau
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| 676 |
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|a 616.075401516373
|v 23
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|a RC78.7.D53
|b R54 2020
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