Computational Diffusion MRI and Brain Connectivity: MICCAI Workshops, Nagoya, Japan, September 22nd, 2013 (Mathematics and Visualization)
ISBN 10: 3319376845 ISBN 13: 9783319376844
Editorial: Springer, 2016
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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.
De la contraportada:
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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Título: Computational Diffusion MRI and Brain ...
Editorial: Springer
Año de publicación: 2016
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Computational Diffusion MRI and Brain Connectivity
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Springer International Publishing, 2016
ISBN 10: 3319376845
ISBN 13: 9783319376844
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a snapshot of the latest developments on a broad range of topics within the very active and growing fields of diffusion MR and brain connectivityFeatures the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI. Nº de ref. del artículo: 448748520
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Computational Diffusion MRI and Brain Connectivity | MICCAI Workshops, Nagoya, Japan, September 22nd, 2013
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ISBN 10: 3319376845
ISBN 13: 9783319376844
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Taschenbuch. Condición: Neu. Computational Diffusion MRI and Brain Connectivity | MICCAI Workshops, Nagoya, Japan, September 22nd, 2013 | Thomas Schultz (u. a.) | Taschenbuch | xiv | Englisch | 2016 | Springer International Publishing | EAN 9783319376844 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 103493372
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Computational Diffusion MRI and Brain Connectivity: MICCAI Workshops, Nagoya, Japan, September 22nd, 2013 (Mathematics and Visualization)
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Computational Diffusion MRI and Brain Connectivity : Miccai Workshops, Nagoya, Japan, September 22nd, 2013
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Computational Diffusion MRI and Brain Connectivity : MICCAI Workshops, Nagoya, Japan, September 22nd, 2013
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ISBN 10: 3319376845
ISBN 13: 9783319376844
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319376844
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Computational Diffusion MRI and Brain Connectivity
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ISBN 10: 3319376845
ISBN 13: 9783319376844
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Taschenbuch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch. Nº de ref. del artículo: 9783319376844
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Computational Diffusion MRI and Brain Connectivity
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Springer International Publishing Aug 2016, 2016
ISBN 10: 3319376845
ISBN 13: 9783319376844
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 272 pp. Englisch. Nº de ref. del artículo: 9783319376844
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Computational Diffusion MRI and Brain Connectivity : Miccai Workshops, Nagoya, Japan, September 22nd, 2013
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Computational Diffusion MRI and Brain Connectivity: MICCAI Workshops, Nagoya, Japan, September 22nd, 2013 (Mathematics and Visualization)
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Computational Diffusion MRI and Brain Connectivity: MICCAI Workshops, Nagoya, Japan, September 22nd, 2013 (Mathematics and Visualization)
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