riemannian geometric statistics in medical image analysis

Download or Read online Riemannian Geometric Statistics In Medical Image Analysis full HQ books. Available in PDF, ePub and Kindle. We cannot guarantee that Riemannian Geometric Statistics In Medical Image Analysis book is available. Click Get Book button to download or read books, you can choose FREE Trial service. Join over 650.000 happy Readers and READ as many books as you like (Personal use).

Riemannian Geometric Statistics in Medical Image Analysis
Author :
Publisher : Academic Press
Release Date :
ISBN 10 : 0128147261
Pages : 636 pages
Rating : /5 ( users)
GET BOOK!

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. Beyond medical image computing, the methods described in this book may also apply to other domains such as signal processing, computer vision, geometric deep learning, and other domains where statistics on geometric features appear. As such, the presented core methodology takes its place in the field of geometric statistics, the statistical analysis of data being elements of nonlinear geometric spaces. The foundational material and the advanced techniques presented in the later parts of the book can be useful in domains outside medical imaging and present important applications of geometric statistics methodology 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 applications As 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 applications

Riemannian Geometric Statistics in Medical Image Analysis

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

GET BOOK!
Shape in Medical Imaging

Download or read online Shape in Medical Imaging written by Martin Reuter, published by Springer Nature which was released on . Get Shape in Medical Imaging Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Dissertation Abstracts International

Download or read online Dissertation Abstracts International written by Anonim, published by Unknown which was released on 2006. Get Dissertation Abstracts International Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis

Thirty-two June 1996 biomedical image workshop papers developing clever computational methods based on geometry, algebra, functional analysis, partial differential equations, optimization and graph theory. Within this mathematical framework the contributors address new and old topics in medical imag

GET BOOK!
Algorithmic Advances in Riemannian Geometry and Applications

This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using the mathematical machinery of

GET BOOK!
Medical Image Computing and Computer assisted Intervention

Download or read online Medical Image Computing and Computer assisted Intervention written by Anonim, published by Unknown which was released on 1998. Get Medical Image Computing and Computer assisted Intervention Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Medical Image Computing and Computer Assisted Intervention   MICCAI 2008

The two-volume set LNCS 5241 and LNCS 5242 constitute the refereed proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, held in New York, NY, USA, in September 2008. The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer

GET BOOK!
Medical Image Registration

Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid

GET BOOK!
Latent Variable Analysis and Signal Separation

This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented – 29 accepted as oral presentations and 32 accepted as poster presentations – were carefully reviewed and selected from numerous submissions. Five special

GET BOOK!
Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual

GET BOOK!
Riemannian Geometry and Geometric Analysis

This established reference work continues to lead its readers to some of the hottest topics of contemporary mathematical research. This third edition includes a new presentation of Morse theory and Floer homology. The new material emphasises the geometric aspects and is discussed in the context of Riemannian geometry and geometric

GET BOOK!
Mathematical Reviews

Download or read online Mathematical Reviews written by Anonim, published by Unknown which was released on 2007. Get Mathematical Reviews Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

A New Way of Analyzing Object Data from a Nonparametric Viewpoint Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis provides one of the first thorough treatments of the theory and methodology for analyzing data on manifolds. It also presents in-depth applications to practical problems arising in a

GET BOOK!
Medical Imaging

Download or read online Medical Imaging written by Anonim, published by Unknown which was released on 2004. Get Medical Imaging Books now! Available in PDF, ePub and Kindle.

GET BOOK!
Medical Image Computing and Computer Assisted Intervention   MICCAI 2008

The two-volume set LNCS 5241 and LNCS 5242 constitute the refereed proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, held in New York, NY, USA, in September 2008. The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer

GET BOOK!