Computational Diffusion MRI and Brain Connectivity by Thomas Schultz
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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In Situ Visualization for Computational Science
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Hierarchical and Geometrical Methods in Scientific Visualization
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Multimedia Tools for Communicating Mathematics
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Computational Line Geometry
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Geometric Methods in Bio-Medical Image Processing
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Visualization in Medicine and Life Sciences
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New Developments in the Visualization and Processing of Tensor Fields
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Triangulations and Applications
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Topological Methods in Data Analysis and Visualization III
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Visualization and Processing of Tensor Fields
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Shape Analysis and Structuring
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Advances in Multiresolution for Geometric Modelling
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Image Processing Based on Partial Differential Equations
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Geometric Modeling for Scientific Visualization
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Mathematics and Art
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GPU-Based Interactive Visualization Techniques
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Computational Diffusion MRI
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Visualization in Medicine and Life Sciences II
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Imaging, Vision and Learning Based on Optimization and PDEs
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Topological Methods in Data Analysis and Visualization
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Topology-Based Methods in Visualization II
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Visualization in Medicine and Life Sciences III
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Topological Methods in Data Analysis and Visualization VI
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Topological and Statistical Methods for Complex Data
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Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data
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Modeling, Analysis, and Visualization of Anisotropy
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Perspectives in Shape Analysis
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Topological Methods in Data Analysis and Visualization IV
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Bezier and B-Spline Techniques
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Topological Data Analysis for Scientific Visualization
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Eye Tracking and Visualization
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Scientific Visualization: The Visual Extraction of Knowledge from Data
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VizSEC 2007
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| ISBN 13 | |
| ISBN 10 | |
| Title | Computational Diffusion MRI and Brain Connectivity |
| Author | Thomas Schultz |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
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| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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