Medical imaging (image acquisition, image transformation, and image visualization) is a
standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students …

Radiotherapy (RT) requires meticulous planning prior to treatment, where the RT plan is
optimized with organ delineations on a pre-treatment Computed Tomography (CT) scan of …

Due to image reconstruction process of all image capturing methods, image data is
inherently affected by uncertainty. This is caused by the underlying image reconstruction …

Many applications are dealing with geometric data that are affected by uncertainty. This
uncertainty is important to analyze, visualize, and understand. We present a methodology to …

Keyhole surgeries become increasingly important in clinical daily routine as they help
minimizing the damage of a patient's healthy tissue. The planning of keyhole surgeries is …

Medical visualization papers are constantly published throughout the last years, but many
never make their way into clinical daily routine. In this manuscript we aim to examine the gap …

Exa-scale simulations can be hard to analyze because it is nearly impossible to store all
computed time-steps and other parameters. The Cinema Database provides a storage …

The acquisition process of real world data is usually affected by uncertainty, that can have a
huge impact for decision making processes. The uncertainty principle tries to address this …

Keyhole surgeries become increasingly important in clinical daily routine as they help
minimizing the damage of a patient's healthy tissue. The planning of keyhole surgeries is …

In this paper, we focus on the problem of identifying semantic factors of variation in large
image datasets. By training a convolutional Autoencoder on the image data, we create …