Modeling, Analysis, and Visualization of Anisotropy

Chapter 1 Robustness for 2D Symmetric Tensor Field Topology

Chapter 2 Applying 2D Tensor Field Topology to Solid Mechanics Simulations

Chapter 3 Moment Invariants for Multi-Dimensional Data

Chapter 4 Visualizing Gradients of Stress Tensor Fields

Chapter 5 Geometries and Interpolations for Symmetric Positive Definite Matrices

Chapter 6 Towards Processing Fields of General Real-Valued Square Matrices

Chapter 7 Towards Grey Scale-Based Tensor Voting for Blood Vessel Analysis

Chapter 8 Local Geometric Descriptors for Multi-Scale Probabilistic Point Classification of Airborne LiDAR Point Clouds

Chapter 9 Diffusion MRI Anisotropy: Modeling, Analysis and Interpretation

Chapter 10 Measuring Microscopic Anisotropy with Diffusion Magnetic Resonance: From Material Science to Biomedical Imaging

Chapter 11 Bayesian Heteroscedastic Regression for Diffusion Tensor Imaging

Chapter 12 Multi-Fiber Reconstruction Using Probabilistic Mixture Models for Diffusion MRI Examinations of the Brain

Chapter 13 Edge Detection in Diffusion Weighted MRI Using a Tangent Curve Similarity Metric

Chapter 14 Repeated Tractography of a Single Subject: How High Is the Variance?

Chapter 15 Automatic Atlas-Based Segmentation of Brain White Matter in Neonates at Risk for Neurodevelopmental Disorders

Chapter 16 A Deep Learning Approach to Identifying Shock Locations in Turbulent Combustion Tensor Fields

Chapter 17 Reconstruction of Diffusion Anisotropies Using 3D Deep Convolutional Neural Networks in Diffusion Imaging