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 …

Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …

We present a technique to synthesize and analyze volume-rendered images using
generative models. We use the Generative Adversarial Network (GAN) framework to …

We present a differentiable volume rendering solution that provides differentiability of all
continuous parameters of the volume rendering process. This differentiable renderer is used …

In volume visualization, a transfer function tailored for one volume usually does not work for
other similar volumes without careful tuning. This process can be tedious and time …

In this paper, we present an effective and scalable system for multivariate volume data
visualization and analysis with a novel transfer function interface design that tightly couples …

In this paper, we present an effective transfer function (TF) design for multivariate volume,
providing tightly coupled views of parallel coordinates plot (PCP), MDS-based dimension …

In the direct volume rendering (DVR), it often takes a long time for a novice to manipulate the
transfer function (TF) and analyze the volume data. To lessen the difficulty in volume …

Iso-surfaces or level-sets provide an effective and frequently used means for feature
visualization. However, they are restricted to simple features for uni-variate data. The …

Currently, user centered transfer function design begins with the user interacting with a one
or two-dimensional histogram of the volumetric attribute space. The attribute space is …