A central topic in scientific visualization is the transfer function (TF) for volume rendering.
The TF serves a fundamental role in translating scalar and multivariate data into color and …

Lundström C, Persson A, Ross S, Ljung P, Lindholm S, Gyllensvärd F, Ynnerman A. State‐of‐
the‐art of visualization in post‐mortem imaging. APMIS 2012; 120: 316–26. Autopsies …

In recent years, there is an emerging direction that leverages information theory to solve
many challenging problems in scientific data analysis and visualization. In this article, we …

Multi‐modal data of the complex human anatomy contain a wealth of information. To
visualize and explore such data, techniques for emphasizing important structures and …

In this paper, we introduce the concept of isosurface similarity maps for the visualization of
volume data. Iso‐surface similarity maps present structural information of a volume data set …

Multimodal visualization aims at fusing different data sets so that the resulting combination
provides more information and understanding to the user. To achieve this aim, we propose a …

In this paper we present a framework to define transfer functions from a target distribution
provided by the user. A target distribution can reflect the data importance, or highly relevant …

This book explores Information theory (IT) tools, which have become state of the art to solve
and understand better many of the problems in visualization. This book covers all relevant …

The transfer function is crucial for direct volume rendering (DVR) to create an informative
visual representation of volumetric data. However, manually adjusting the transfer function to …

In volume visualization transfer functions are widely used for mapping voxel properties to
color and opacity. Typically, volume density data are scalars which require simple 1D …