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Riemannian Geometric Statistics in Medical Image Analysis

data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and;

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Riemannian Computing in Computer Vision

Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and;

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Riemannian Computing in Computer Vision

Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and;

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Geometric Science of Information

This book constitutes the refereed proceedings of the Second International Conference on Geometric Science of Information, GSI 2015, held;

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Geometric Science of Information

This book constitutes the refereed proceedings of the Third International Conference on Geometric Science of Information, GSI 2017, held;

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Riemannian Geometry and Geometric Analysis

: This book provides a very readable introduction to Riemannian geometry and geometric analysis... With the vast development of the mathematical;

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Algorithmic Advances in Riemannian Geometry and Applications

researchers in the field. These include statistical modeling and analysis on manifolds,optimization on manifolds, Riemannian manifolds and kernel;

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Riemannian Geometry and Geometric Analysis

emphasises the geometric aspects and integrates it into the context of Riemannian geometry and geometric analysis. It also gives a new presentation;

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Biomedical Image Analysis

geometric active contours that adapt to the image topology. Additionally, Biomedical Image Analysis: Segmentation details attractive new methods;

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Statistics of Medical Imaging

Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis;

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Riemannian Optimization and Its Applications

This brief describes the basics of Riemannian optimization-optimization on Riemannian manifolds-introduces algorithms for Riemannian;

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Curvature

The curvature discussed in this paper is a far reaching generalization of the Riemannian sectional curvature. The authors give a unified;

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Image-Based Geometric Modeling and Mesh Generation

As a new interdisciplinary research area, image-based geometric modeling and mesh generation integrates image processing, geometric;

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Geometry Driven Statistics

A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the;

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Global Riemannian Geometry

This book contains a clear exposition of two contemporary topics in modern differential geometry: distance geometric;

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Geometric Modeling and Mesh Generation from Scanned Images

Cutting-Edge Techniques to Better Analyze and Predict Complex Physical Phenomena Geometric Modeling and Mesh Generation from Scanned;

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Geometric Modeling and Mesh Generation from Scanned Images

Cutting-Edge Techniques to Better Analyze and Predict Complex Physical Phenomena Geometric Modeling and Mesh Generation from Scanned;

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Spectral Geometry of Shapes

analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there has been;

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Geometric Analysis

Institute session on Geometric Analysis. The papers give excellent high-level introductions, suitable for graduate students wishing to enter the;

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Analysis Of Harmonic Maps And Their Heat Flows, The

are interested in geometric partial differential equations and geometric analysis.;

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Medical Image Understanding and Analysis

This book constitutes the refereed proceedings of the 22st Annual Conference on Medical Image Understanding and Analysis, MIUA 2018, held;

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Topics in Extrinsic Geometry of Codimension One Foliations

Extrinsic geometry describes properties of foliations on Riemannian manifolds which can be expressed in terms of the second fundamental;

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Shape in Medical Imaging

applications, e.g., from the fields of geometric learning or spectral shape analysis.;

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Image Processing with MATLAB

random field (MRF)-based image segmentation, boundary and curvature analysis methods, and parametric and geometric deformable models. The final;

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Variational Methods

problems and shape spaces to computer vision and computational anatomy. The second part is geared towards geometric control and related topics;

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Geometric Methods In Signal & Image Anal

geometric and topological information from signals and images. With the help of detailed real-world examples and applications, readers will learn;

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Global Differential Geometry

over recent developments in Riemannian Geometry, Geometric Analysis and Symplectic Geometry. The papers are written for graduate students and;

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