Browsing by Author "Vilanova, Anna"

Now showing items 1-6 of 6

    • EuroVis 2017 - STARs: Frontmatter 

      Meyer, Miriah; Takahashi, Shigeo; Vilanova, Anna (Eurographics Association, 2017)

    • FlexEvent: going beyond Case-Centric Exploration and Analysis of Multivariate Event Sequences 

      Linden, Sanne van der; Wulterkens, Bernice M.; Gilst, Merel M. van; Overeem, Sebastiaan; Pul, Carola van; Vilanova, Anna; Elzen, Stef van den (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      In many domains, multivariate event sequence data is collected focused around an entity (the case). Typically, each event has multiple attributes, for example, in healthcare a patient has events such as hospitalization, ...

    • Frontmatter: Eurographics Workshop on Visual Computing for Biology and Medicine 2018 

      Puig Puig, Anna; Schultz, Thomas; Vilanova, Anna; Hotz, Ingrid; Kozlikova, Barbora; Vázquez, Pere-Pau (The Eurographics Association, 2018)

    • Model-based Visualization for Medical Education and Training 

      Smit, Noeska; Lawonn, Kai; Kraima, Annelot; deRuiter, Marco; Bruckner, Stefan; Eisemann, Elmar; Vilanova, Anna (The Eurographics Association, 2019)
      Anatomy, or the study of the structure of the human body, is an essential component of medical education. Certain parts of human anatomy are considered to be more complex to understand than others, due to a multitude of ...

    • Parameter Sensitivity and Uncertainty Visualization in DTI 

      Siddiqui, Faizan; Höllt, Thomas; Vilanova, Anna (The Eurographics Association, 2022)
      Diffusion Tensor Imaging is a powerful technique that provides a unique insight into the complex structure of the brain's white matter. However, several sources of uncertainty limit its widespread use. Data and modeling ...

    • Visual Exploration of Genetic Sequence Variants in Pangenomes 

      van den Brandt, Astrid; Jonkheer, Eef M.; van Workum, Dirk-Jan M.; Smit, Sandra; Vilanova, Anna (The Eurographics Association, 2022)
      To study the genetic sequence variation underlying traits of interest, the field of comparative genomics is moving away from analyses with single reference genomes to pangenomes; abstract representations of multiple genomes ...