Tensors provide a powerful language to describe physical phenomena. Consequently, they
have a long tradition in physics and appear in various application areas, either as the final …

Modern diffusion magnetic resonance imaging (dMRI) acquires intricate volume datasets
and biological meaning can only be found in the relationship between its different …

A common goal of multivariate visualization is to enable data inspection at discrete points,
while also illustrating larger-scale continuous structures. In diffusion tensor visualization …

Symmetric second-order tensor fields play a central role in scientific and biomedical studies
as well as in image analysis and feature-extraction methods. The utility of displaying tensor …

Medical imaging systems often require image enhancement, such as improving the image
contrast, to provide medical professionals with the best visual image quality. This helps in …

We demonstrate the application of advanced 3D visualization techniques to determine the
optimal implant design and position in hip joint replacement planning. Our methods take as …

This article introduces a new notion of optimal transport (OT) between tensor fields, which
are measures whose values are positive semidefinite (PSD) matrices. This “quantum” …

Tensors are used to describe complex physical processes in many applications. Examples
include the distribution of stresses in technical materials, acting forces during seismic …

Tensor field has been widely used in various applications, such as medical imaging,
industrial manufacturing, high-dimensional data analysis, and so forth. However, it is a …

The gradient of a velocity vector field is an asymmetric tensor field which can provide critical
insight that is difficult to infer from traditional trajectory-based vector field visualization …