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Riemannian Geometric Statistics in Medical Image Analysis (The Elsevier and Miccai Society)

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Description:Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Content includes:- The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs- Applications of statistics on manifolds and shape spaces in medical image computing- Diffeomorphic deformations and their applicationsAs the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science. - A complete reference covering both the foundations and state-of-the-art methods - Edited and authored by leading researchers in the field - Contains theory, examples, applications, and algorithms - Gives an overview of current research challenges and future applicationsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Riemannian Geometric Statistics in Medical Image Analysis (The Elsevier and Miccai Society). To get started finding Riemannian Geometric Statistics in Medical Image Analysis (The Elsevier and Miccai Society), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 0128147261

Description: Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Content includes:- The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs- Applications of statistics on manifolds and shape spaces in medical image computing- Diffeomorphic deformations and their applicationsAs the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science. - A complete reference covering both the foundations and state-of-the-art methods - Edited and authored by leading researchers in the field - Contains theory, examples, applications, and algorithms - Gives an overview of current research challenges and future applicationsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Riemannian Geometric Statistics in Medical Image Analysis (The Elsevier and Miccai Society). To get started finding Riemannian Geometric Statistics in Medical Image Analysis (The Elsevier and Miccai Society), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Riemannian Geometric Statistics in Medical Image Analysis (The Elsevier and Miccai Society)

Riemannian Geometric Statistics in Medical Image Analysis (The Elsevier and Miccai Society)

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