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Workshop on Computational Diffusion MRI : MICCAI Workshop

This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI 2019), held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), which took place in Shenzhen, China on October 17, 2019. This book present...

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Detalles Bibliográficos
Autores principales: Bonet-Carne, Elisenda, Hutter, Jana, Palombo, Marco, Pizzolato, Marco, Sepehrband, Farshid, Zhang, Fan
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-52893-5
http://cds.cern.ch/record/2744486
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author Bonet-Carne, Elisenda
Hutter, Jana
Palombo, Marco
Pizzolato, Marco
Sepehrband, Farshid
Zhang, Fan
author_facet Bonet-Carne, Elisenda
Hutter, Jana
Palombo, Marco
Pizzolato, Marco
Sepehrband, Farshid
Zhang, Fan
author_sort Bonet-Carne, Elisenda
collection CERN
description This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI 2019), held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), which took place in Shenzhen, China on October 17, 2019. This book presents the latest advances in the rapidly expanding field of diffusion MRI. It shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning about computational techniques in diffusion MRI. The book includes rigorous mathematical derivations, a wealth of rich, full-colour visualisations and extensive clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics. Readers will find contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice. This edition includes invited works from high-profile researchers with a specific focus on three new and important topics that are gaining momentum within the diffusion MRI community, including diffusion MRI signal acquisition and processing strategies, machine learning for diffusion MRI, and diffusion MRI outside the brain and clinical applications.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-27444862021-04-22T06:29:51Zdoi:10.1007/978-3-030-52893-5http://cds.cern.ch/record/2744486engBonet-Carne, ElisendaHutter, JanaPalombo, MarcoPizzolato, MarcoSepehrband, FarshidZhang, FanWorkshop on Computational Diffusion MRI : MICCAI WorkshopMathematical Physics and MathematicsThis volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI 2019), held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), which took place in Shenzhen, China on October 17, 2019. This book presents the latest advances in the rapidly expanding field of diffusion MRI. It shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning about computational techniques in diffusion MRI. The book includes rigorous mathematical derivations, a wealth of rich, full-colour visualisations and extensive clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics. Readers will find contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice. This edition includes invited works from high-profile researchers with a specific focus on three new and important topics that are gaining momentum within the diffusion MRI community, including diffusion MRI signal acquisition and processing strategies, machine learning for diffusion MRI, and diffusion MRI outside the brain and clinical applications.Springeroai:cds.cern.ch:27444862020
spellingShingle Mathematical Physics and Mathematics
Bonet-Carne, Elisenda
Hutter, Jana
Palombo, Marco
Pizzolato, Marco
Sepehrband, Farshid
Zhang, Fan
Workshop on Computational Diffusion MRI : MICCAI Workshop
title Workshop on Computational Diffusion MRI : MICCAI Workshop
title_full Workshop on Computational Diffusion MRI : MICCAI Workshop
title_fullStr Workshop on Computational Diffusion MRI : MICCAI Workshop
title_full_unstemmed Workshop on Computational Diffusion MRI : MICCAI Workshop
title_short Workshop on Computational Diffusion MRI : MICCAI Workshop
title_sort workshop on computational diffusion mri : miccai workshop
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-52893-5
http://cds.cern.ch/record/2744486
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