Importance. Medical images are essential for modern medicine and an important research
subject in visualization. However, medical experts are often not aware of the many …

We present a systematic review on three comparative layouts-juxtaposition, superposition,
and explicit-encoding-which are information visualization (InfoVis) layouts designed to …

We propose a data-driven space-filling curve method for 2D and 3D visualization. Our
flexible curve traverses the data elements in the spatial domain in a way that the resulting …

Summary open_iA is a platform for visual analysis and processing of volumetric datasets.
The main driver behind its development is to provide a common framework for performing …

We examine visual representations of data that make use of combinations of both 2D and
3D data map**s. Combining 2D and 3D representations is a common technique that …

Morse complexes are gradient-based topological descriptors with close connections to
Morse theory. They are widely applicable in scientific visualization as they serve as …

In radiation therapy (RT) for prostate cancer, changes in patient anatomy during treatment
might lead to inadequate tumor coverage and higher irradiation of healthy tissues in the …

It is crucial to visually extrapolate the characteristics of their evolution to understand critical
spatio‐temporal events such as earthquakes, fires, or the spreading of a disease …

Hilbert curve describes a one‐to‐one map** between multidimensional space and 1D
space. Most traditional 3D Hilbert encoding and decoding algorithms work on order‐wise …

Three-dimensional (3D) reconstruction and measurement are popular techniques in
precision manufacturing processes. In this manuscript, a single image 3D reconstruction …