Likert scales are often used in visualization evaluations to produce quantitative estimates of
subjective attributes, such as ease of use or aesthetic appeal. However, the methods used to …

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 …

This paper explores narrative techniques combined with medical visualizations to tell data-
driven stories about diseases for a general audience. The field of medical illustration uses …

The complexity of today's visualization applications demands specific visualization systems
tailored for the development of these applications. Frequently, such systems utilize levels of …

In this paper we propose a supervised method to predict registration misalignment using
convolutional neural networks (CNNs). This task is casted to a classification problem with …

Predicting registration error can be useful for evaluation of registration procedures, which is
important for the adoption of registration techniques in the clinic. In addition, quantitative …

Narrative visualization aims to communicate scientific results to a general audience and
garners significant attention in various applications. Merging exploratory and explanatory …

Using multi-atlas registration (MAR), information carried by atlases can be transferred onto a
new input image for the tasks of region-of-interest (ROI) segmentation, anatomical landmark …

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

Indirect image registration is a promising technique to improve image reconstruction quality
by providing a shape prior for the reconstruction task. In this paper, we propose a novel …