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Showing 1 - 4 of
4 matches in All Departments
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Computational Diffusion MRI - International MICCAI Workshop, Lima, Peru, October 2020 (Hardcover, 1st ed. 2021)
Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, …
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R4,554
Discovery Miles 45 540
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Ships in 12 - 17 working days
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This book gathers papers presented at the Workshop on Computational
Diffusion MRI, CDMRI 2020, held under the auspices of the
International Conference on Medical Image Computing and
Computer-Assisted Intervention (MICCAI), which took place virtually
on October 8th, 2020, having originally been planned to take place
in Lima, Peru.This book presents the latest developments in the
highly active and rapidly growing field of diffusion MRI. While
offering new perspectives on the most recent research challenges in
the field, the selected articles also provide a valuable starting
point for anyone interested in learning computational techniques
for diffusion MRI. The book includes rigorous mathematical
derivations, a large number of rich, full-colour visualizations,
and clinically relevant results. As such, it is of interest to
researchers and practitioners in the fields of computer science,
MRI physics, and applied mathematics. The reader will find numerous
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.
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Computational Diffusion MRI - MICCAI Workshop, Shenzhen, China, October 2019 (Hardcover, 1st ed. 2020)
Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, …
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R3,711
Discovery Miles 37 110
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Ships in 12 - 17 working days
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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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Computational Diffusion MRI - MICCAI Workshop, Shenzhen, China, October 2019 (Paperback, 1st ed. 2020)
Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, …
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R4,462
Discovery Miles 44 620
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Ships in 10 - 15 working days
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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.
|
Computational Diffusion MRI - International MICCAI Workshop, Lima, Peru, October 2020 (Paperback, 1st ed. 2021)
Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, …
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R5,255
Discovery Miles 52 550
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Ships in 10 - 15 working days
|
This book gathers papers presented at the Workshop on Computational
Diffusion MRI, CDMRI 2020, held under the auspices of the
International Conference on Medical Image Computing and
Computer-Assisted Intervention (MICCAI), which took place virtually
on October 8th, 2020, having originally been planned to take place
in Lima, Peru.This book presents the latest developments in the
highly active and rapidly growing field of diffusion MRI. While
offering new perspectives on the most recent research challenges in
the field, the selected articles also provide a valuable starting
point for anyone interested in learning computational techniques
for diffusion MRI. The book includes rigorous mathematical
derivations, a large number of rich, full-colour visualizations,
and clinically relevant results. As such, it is of interest to
researchers and practitioners in the fields of computer science,
MRI physics, and applied mathematics. The reader will find numerous
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.
|
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