Browsing VCBM 16: Eurographics Workshop on Visual Computing for Biology and Medicine by Title

Now showing items 19-24 of 24

    • Unfolding and Interactive Exploration of Protein Tunnels and their Dynamics 

      Kolesár, Ivan; Byska, Jan; Parulek, Julius; Hauser, Helwig; Kozlíková, Barbora (The Eurographics Association, 2016)
      The presence of tunnels in protein structures substantially influences their reactivity with other molecules. Therefore, studying their properties and changes over time has been in the scope of biochemists for decades. In ...

    • VCBM 2016: Frontmatter 

      Stefan Bruckner; Bernhard Preim; Anna Vilanova; Helwig Hauser; Anja Hennemuth; Arvid Lundervold (Eurographics Association, 2016)

    • Visual Analysis and Comparison of Multiple Sequence Alignments 

      Hess, Martin; Jente, Daniel; Wiemeyer, Josef; Hamacher, Kay; Goesele, Michael (The Eurographics Association, 2016)
      Multiple Sequence Alignments (MSA) of a set of DNA, RNA or protein sequences form the fundamental basis for various biological applications such as evolutionary heritage and protein structure prediction. The quality of an ...

    • Visual Analytics for the Exploration and Assessment of Segmentation Errors 

      Raidou, Renata G.; Marcelis, Freek J. J.; Breeuwer, Marcel; Gröller, Eduard; Vilanova, Anna; Wetering, Huub M. M. van de (The Eurographics Association, 2016)
      Several diagnostic and treatment procedures require the segmentation of anatomical structures from medical images. However, the automatic model-based methods that are often employed, may produce inaccurate segmentations. ...

    • Visualization-Guided Evaluation of Simulated Minimally Invasive Cancer Treatment 

      Voglreiter, Philip; Hofmann, Michael; Ebner, Christoph; Sequeiros, Roberto Blanco; Portugaller, Horst Rupert; Fütterer, Jurgen; Moche, Michael; Steinberger, Markus; Schmalstieg, Dieter (The Eurographics Association, 2016)
      We present a visualization application supporting interventional radiologists during analysis of simulated minimally invasive cancer treatment. The current clinical practice employs only rudimentary, manual measurement ...

    • Volume Visualization Using Principal Component Analysis 

      Alakkari, Salaheddin; Dingliana, John (The Eurographics Association, 2016)
      In this paper, we investigate the use of Principal Component Analysis (PCA) for image-based volume visualization. Firstly we compute a high-dimensional eigenspace using training images, pre-rendered using a standard ...