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 …

Volume rendering techniques have been developed for decades and have been widely
applied in many research fields, such as medical image visualization, geological …

Study of flow instability in turbine engine compressors is crucial to understand the inception
and evolution of engine stall. Aerodynamics experts have been working on detecting the …

A central challenge in data visualization is to understand which data samples are required to
generate an image of a data set in which the relevant information is encoded. In this article …

Visual exploration of volumetric datasets to discover the embedded features and spatial
structures is a challenging and tedious task. In this paper we present a semi-automatic …

Effective analysis of features in time-varying data is essential in numerous scientific
applications. Feature extraction and tracking are two important tasks scientists rely upon to …

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 …

With the surge of data-driven analysis techniques, there is a rising demand for enhancing
the exploration of large high-dimensional data by enabling interactions for the joint analysis …

Diabetes mellitus is one of the most important public health problems affecting millions of
people worldwide. An early and accurate diagnosis of diabetes mellitus has critical …

High-resolution simulation data sets provide plethora of information, which needs to be
explored by application scientists to gain enhanced understanding about various …