Computational Diffusion MRI MICCAI Workshop, Athens, Greece, October 2016

Computational Diffusion MRI MICCAI Workshop, Athens, Greece, October 2016 / edited by Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert.

This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity, while also sharing new perspectives and insights on the latest research challenges for those currently working in the field. Over the last decad...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Fuster, Andrea (Editor), Ghosh, Aurobrata (Editor), Kaden, Enrico (Editor), Rathi, Yogesh (Editor), Reisert, Marco (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Mathematics and Visualization,
Springer eBook Collection.
Subjects:
Biomathematics.
Mathematics.
Visualization.
Computer simulation.
Optical data processing.
Statistics .
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • The MR Physics of Advanced Diffusion Imaging: Matt Hall
  • Noise Floor Removal via Phase Correction of Complex Diffusion-Weighted Images: Influence on DTI and q-Space Metrics: M. Pizzolato et al
  • Regularized Dictionary Learning with Robust Sparsity Fitting for Compressed Sensing Multishell HARDI: K. Gupta et al
  • Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framelets: Jian Zhang et al
  • Diffusion MRI Signal Augmentation – From Single Shell to Multi Shell with Deep Learning: S. Koppers et al
  • Multi-Spherical Diffusion MRI: Exploring Diffusion Time Using Signal Sparsity: R.H.J. Fick et al
  • Sensitivity of OGSE ActiveAx to Microstructural Dimensions on a Clinical Scanner: L.S. Kakkar et al
  • Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models: G. Gallardo et al
  • Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion: Z. Yang et al
  • Parcellation of Human Amygdala Subfields Using Orientation Distribution Function and Spectral K-means Clustering: Q. Wen et al
  • Sparse Representation for White Matter Fiber Compression and Calculation of Inter-Fiber Similarity: G. Zimmerman Moreno et al
  • An Unsupervised Group Average Cortical Parcellation using Diffusion MRI to Probe Cytoarchitecture: T. Ganepola et al
  • Using multiple Diffusion MRI Measures to Predict Alzheimer’s Disease with a TV-L1 Prior: J.E. Villalon-Reina et al
  • Accurate Diagnosis of SWEDD vs. Parkinson Using Microstructural Changes of Cingulum Bundle: Track-Specific Analysis: F. Rahmani et al
  • Colocalization of Functional Activity and Neurite Density within Cortical Areas: A. Teillac et al
  • Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-shell Diffusion MRI: R.H.J. Fick
  • Working Memory Function in Recent-onset Schizophrenia Patients Associated with White Matter Microstructure: Connectometry Approach: M. Dolatshahi et al.

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