Table of Contents:
  • Models for Diffusion MRI
  • Modelling, Fitting and Sampling in Diffusion MRI
  • Tensors, Polynomials and Models for Directional Data
  • A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction
  • The Algebra of Fourth-Order Tensors with Application to Diffusion MRI
  • Higher-Level Analysis of Diffusion Images
  • Structure-Specific Statistical Mapping of White Matter Tracts
  • Analysis of Distance/Similarity Measures for Diffusion Tensor Imaging
  • Tensor Field Visualization
  • Tensor Glyph Warping: Visualizing Metric Tensor Fields using Riemannian Exponential Maps
  • Interactive Volume Rendering of Diffusion Tensor Data
  • Dense Glyph Sampling for Visualization
  • Tensor Field Analysis in the Physical Sciences
  • The Role of Tensor Fields for Satellite Gravity Gradiometry
  • Tensor Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics
  • A Tensor Approach to Elastography Analysis and Visualization
  • Tensor Image Structure Models
  • A Higher-Order Structure Tensor
  • Monogenic Curvature Tensor as Image Model
  • Filtering with Tensors
  • A General Structure Tensor Concept and Coherence-Enhancing Diffusion Filtering for Matrix Fields
  • Coordinates-Based Diffusion Over the Space of Symmetric Positive-Definite Matrices
  • Variational Methods for Denoising Matrix Fields
  • An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images.