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2014 MICCAI Workshop

This book contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14. Detailing new computational methods applied to diffusion magnetic resonance imaging data, it offers readers a snapshot of the current state of the art and covers a wide range of topics from fund...

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Detalles Bibliográficos
Autores principales: O'Donnell, Lauren, Nedjati-Gilani, Gemma, Rathi, Yogesh, Reisert, Marco, Schneider, Torben
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-11182-7
http://cds.cern.ch/record/1996725
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author O'Donnell, Lauren
Nedjati-Gilani, Gemma
Rathi, Yogesh
Reisert, Marco
Schneider, Torben
author_facet O'Donnell, Lauren
Nedjati-Gilani, Gemma
Rathi, Yogesh
Reisert, Marco
Schneider, Torben
author_sort O'Donnell, Lauren
collection CERN
description This book contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14. Detailing new computational methods applied to diffusion magnetic resonance imaging data, it offers readers a snapshot of the current state of the art and covers a wide range of topics from fundamental theoretical work on mathematical modeling to the development and evaluation of robust algorithms and applications in neuroscientific studies and clinical practice.   Inside, readers will find information on brain network analysis, mathematical modeling for clinical applications, tissue microstructure imaging, super-resolution methods, signal reconstruction, visualization, and more. Contributions include both careful mathematical derivations and a large number of rich full-color visualizations.   Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. This volume will offer a valuable starting point for anyone interested in learning computational diffusion MRI. It also offers new perspectives and insights on current research challenges for those currently in the field. The book will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
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spelling cern-19967252021-04-22T06:58:38Zdoi:10.1007/978-3-319-11182-7http://cds.cern.ch/record/1996725engO'Donnell, LaurenNedjati-Gilani, GemmaRathi, YogeshReisert, MarcoSchneider, Torben2014 MICCAI WorkshopMathematical Physics and MathematicsThis book contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14. Detailing new computational methods applied to diffusion magnetic resonance imaging data, it offers readers a snapshot of the current state of the art and covers a wide range of topics from fundamental theoretical work on mathematical modeling to the development and evaluation of robust algorithms and applications in neuroscientific studies and clinical practice.   Inside, readers will find information on brain network analysis, mathematical modeling for clinical applications, tissue microstructure imaging, super-resolution methods, signal reconstruction, visualization, and more. Contributions include both careful mathematical derivations and a large number of rich full-color visualizations.   Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. This volume will offer a valuable starting point for anyone interested in learning computational diffusion MRI. It also offers new perspectives and insights on current research challenges for those currently in the field. The book will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.Springeroai:cds.cern.ch:19967252014
spellingShingle Mathematical Physics and Mathematics
O'Donnell, Lauren
Nedjati-Gilani, Gemma
Rathi, Yogesh
Reisert, Marco
Schneider, Torben
2014 MICCAI Workshop
title 2014 MICCAI Workshop
title_full 2014 MICCAI Workshop
title_fullStr 2014 MICCAI Workshop
title_full_unstemmed 2014 MICCAI Workshop
title_short 2014 MICCAI Workshop
title_sort 2014 miccai workshop
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-11182-7
http://cds.cern.ch/record/1996725
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AT nedjatigilanigemma 2014miccaiworkshop
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AT schneidertorben 2014miccaiworkshop