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This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.
Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling.
This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
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Modern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors. This book addresses topics of importance when dealing with such data, including frameworks for image processing, visualization and statistical analysis of higher-order descriptors. It also provides examples of the successful use of higher-order descriptors in specific applications and a glimpse of the next generation of diffusion MRI. To do so, it combines contributions on new developments, current challenges in this area and state-of-the-art surveys.
Compared to the increasing importance of higher-order descriptors in a range of applications, tools for analysis and processing are still relatively hard to come by. Even though application areas such as medical imaging, fluid dynamics and structural mechanics are very different in nature they face many shared challenges. This book provides an interdisciplinary perspective on this topic with contributions from key researchers in disciplines ranging from visualization and image processing to applications. It is based on the 5th Dagstuhl seminar on Visualization and Processing of Higher Order Descriptors for Multi-Valued Data.
This book will appeal to scientists who are working to develop new analysis methods in the areas of image processing and visualization, as well as those who work with applications that generate higher-order data or could benefit from higher-order models and are searching for novel analytical tools.
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This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews.
This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to MultivaluedData: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016.It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.
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In a world governed by speed, the Internet plays a growing role in many of today''s innovations, and the resolution of disputes using electronic means of communication may soon be part of everyday legal practice. This book provides a survey of the current state of play in online dispute resolution, from the methods and information technology currently in use to the range of regulatory solutions proposed by stakeholders. Taking their analysis a step further, the authors also address this new field''s most pressing issues, including possible amendments of existing legislation, treaties, and arbitration and other ADR rules. Online Dispute Resolution: Challenges for Contemporary Justice is an in-depth study of online dispute resolution today, discussing among other topics:
- the different methods of ODR;- fields of use;- ways to bring parties to online dispute resolution;- validity and effects of clauses entered into online that provide for online mediation or arbitration;- issues surrounding electronic communications and evidence in arbitration; and- enforcement of online dispute resolution outcomes, both through court proceedings and built-in enforcement mechanisms.This book also covers issues related to security and e-commerce in general. As a special feature, it contains a section on existing online dispute resolution providers, complete with interviews and statistics.
Online Dispute Resolution: Challenges for Contemporary Justice is a significant resource for legal counsel, arbitral institutions, ODR and ADR service providers, governments and governmental and non-governmental organizations, as well as those with a more academic interest. This book will provide a greater understanding of online dispute resolution to persons in the fields of arbitration and ADR, e-commerce, intellectual property, civil procedure, international law, international trade and commerce, and information technology.
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