Tumors are heterogeneous tissues consisting of multiple regions with distinct characteristics.
Characterization of these intra‐tumor regions can improve patient diagnosis and enable a …

Pattern recognition problem is outlined in the context of textural and spectral analysis of
remote sensing imagery processing. Main attention is paid to Bayesian classifier that can be …

The goal of this paper is to analyze the texture of irides and determine if they can be
quantitatively measured and assigned into multiple categories. Such an exercise would …

Visual analytics of multidimensional data suffer from the curse of dimensionality, ie, that
even large numbers of data points will be scattered in a high-dimensional space. The curse …

Fiber tracts detection is an increasingly common technology for diagnosis and also
understanding of brain function. Although tools for tracing and presenting brain fibers are …

We present a feature-based interactive technique for comparing multiple scalar fields. It
extracts largest contour features from the topologically simplified contour trees of each field …

For the visual analysis of multidimensional data, dimension reduction methods are
commonly used to project to a lower‐dimensional visual space. In the context of multifields …

Interactive visual analysis of volumetric data relies on intuitive, yet powerful mechanisms to
generate transfer functions. For multi-variate data, traditional methods for interactive transfer …

The analysis of multidimensional multivariate data has been studied in various research
areas for many years. The goal of the analysis is to gain insight into the specific properties of …

Smoothed particle hydrodynamics (SPH) is a completely mesh-free method to simulate fluid
flow (Gingold & Monaghan, 1977; Lucy, 1977). Rather than representing the physical …