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Computational Diffusion MRI

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Cover of 'Computational Diffusion MRI'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Optimal Sampling in Diffusion MRI
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    Chapter 2 Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging
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    Chapter 3 Return-to-Axis Probability Calculation from Single-Shell Acquisitions
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    Chapter 4 A Novel Spatial-Angular Domain Regularisation Approach for Restoration of Diffusion MRI
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    Chapter 5 Dmipy, A Diffusion Microstructure Imaging Toolbox in Python to Improve Research Reproducibility
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    Chapter 6 Tissue Segmentation Using Sparse Non-negative Matrix Factorization of Spherical Mean Diffusion MRI Data
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    Chapter 7 A Closed-Form Solution of Rotation Invariant Spherical Harmonic Features in Diffusion MRI
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    Chapter 8 Orientation-Dispersed Apparent Axon Diameter via Multi-Stage Spherical Mean Optimization
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    Chapter 9 Current Applications and Future Promises of Machine Learning in Diffusion MRI
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    Chapter 13 Challenges and Opportunities in dMRI Data Harmonization
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    Chapter 17 Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study
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    Chapter 18 Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results
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    Chapter 20 A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta
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    Chapter 21 Spatial Characterisation of Fibre Response Functions for Spherical Deconvolution in Multiple Sclerosis
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    Chapter 22 Edge and Properties in Multiple
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    Chapter 24 Brain Connectivity Measures via Direct Sub-Finslerian Front Propagation on the 5D Sphere Bundle of Positions and Directions
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    Chapter 27 Voxel-Wise Clustering of Tractography Data for Building Atlases of Local Fiber Geometry
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    Chapter 28 Obtaining Representative Core Streamlines for White Matter Tractometry of the Human Brain
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    Chapter 29 Improving Graph-Based Tractography Plausibility Using Microstructure Information
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Title
Computational Diffusion MRI
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-05831-9
ISBNs
978-3-03-005830-2, 978-3-03-005831-9
Authors

Ravi, D, Ghavami, N, Alexander, DC, Ianus, A

Editors

Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax

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The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 3 30%
Student > Doctoral Student 2 20%
Student > Bachelor 1 10%
Unknown 1 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 10%
Nursing and Health Professions 1 10%
Computer Science 1 10%
Physics and Astronomy 1 10%
Engineering 1 10%
Other 0 0%
Unknown 5 50%