|
Showing 1 - 3 of
3 matches in All Departments
|
Computational Diffusion MRI - MICCAI Workshop, Shenzhen, China, October 2019 (Hardcover, 1st ed. 2020)
Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, …
|
R3,711
Discovery Miles 37 110
|
Ships in 12 - 17 working days
|
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 - MICCAI Workshop, Shenzhen, China, October 2019 (Paperback, 1st ed. 2020)
Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, …
|
R4,462
Discovery Miles 44 620
|
Ships in 10 - 15 working days
|
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, Granada, Spain, September 2018 (Hardcover, 1st ed. 2019)
Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax
|
R2,700
R945
Discovery Miles 9 450
Save R1,755 (65%)
|
Ships in 9 - 15 working days
|
This volume gathers papers presented at the Workshop on
Computational Diffusion MRI (CDMRI'18), which was held under the
auspices of the International Conference on Medical Image Computing
and Computer Assisted Intervention in Granada, Spain on September
20, 2018. It presents the latest developments in the highly active
and rapidly growing field of diffusion MRI. The reader will find
papers on 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
harmonisation and frontline applications in research and clinical
practice. The respective papers constitute invited works from
high-profile researchers with a specific focus on three topics that
are now gaining momentum within the diffusion MRI community: i)
machine learning for diffusion MRI; ii) diffusion MRI outside the
brain (e.g. in the placenta); and iii) diffusion MRI for multimodal
imaging. The book 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
computational techniques in diffusion MRI. It includes rigorous
mathematical derivations, a wealth of full-colour visualisations,
and 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 alike.
|
|