Now showing items 20-28 of 28

    • Semantic Segmentation of Brain Tumors in MRI Data Without any Labels 

      Weninger, Leon; Krauhausen, Imke; Merhof, Dorit (The Eurographics Association, 2019)
      Brain MR images are one of the most important instruments for diagnosing neurological disorders such as tumors, infections or trauma. In particular, grade I-IV brain tumors are a well-studied subject for supervised deep ...
    • SpectraMosaic: An Exploratory Tool for the Interactive Visual Analysis of Magnetic Resonance Spectroscopy Data 

      Garrison, Laura; Vašíček, Jakub; Grüner, Renate; Smit, Noeska N.; Bruckner, Stefan (The Eurographics Association, 2019)
      Magnetic resonance spectroscopy (MRS) allows for assessment of tissue metabolite characteristics used often for early detection and treatment evaluation of brain-related pathologies. However, a steep learning curve for ...
    • Using Position-Based Dynamics for Simulating the Mitral Valve in a Decision Support System 

      Walczak, Lars; Georgii, Joachim; Tautz, Lennart; Neugebauer, Mathias; Wamala, Isaac; Sündermann, Simon; Falk, Volkmar; Hennemuth, Anja (The Eurographics Association, 2019)
      In mitral valve interventions, surgeons have to select an optimal combination of techniques for every patient. Especially less experienced physicians would benefit from decision support for this process. To support the ...
    • VCBM 2019: Frontmatter 

      Kozlíková, Barbora; Raidou, Renata Georgia (Eurographics Association, 2019)
    • A Visual Analytics Approach for Patient Stratification and Biomarker Discovery 

      Alemzadeh, Shiva; Kromp, Florian; Preim, Bernhard; Taschner-Mandl, Sabine; Bühler, Katja (The Eurographics Association, 2019)
      We introduce discoVA as a visual analytics tool for the refinement of risk stratification of cancer patients and biomarker discovery. Currently, tools for the joint analysis of multiple biological and clinical information ...
    • Visual Analytics in Digital Pathology: Challenges and Opportunities 

      Corvò, Alberto; Westenberg, Michel A.; Wimberger-Friedl, Reinhold; Fromme, Stephan; Peeters, Michel M. R.; Driel, Marc A. van; Wijk, Jarke J. van (The Eurographics Association, 2019)
      The advances in high-throughput digitization, digital pathology systems, and quantitative image analysis opened new horizons in pathology. The diagnostic work of the pathologists and their role is likely to be augmented ...
    • A Visual Environment for Hypothesis Formation and Reasoning in Studies with fMRI and Multivariate Clinical Data 

      Jönsson, Daniel; Bergström, Albin; Forsell, Camilla; Simon, Rozalyn; Engström, Maria; Ynnerman, Anders; Hotz, Ingrid (The Eurographics Association, 2019)
      We present an interactive visual environment for linked analysis of brain imaging and clinical measurements. The environment is developed in an iterative participatory design process involving neuroscientists investigating ...
    • The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position 

      Mörth, Eric; Raidou, Renata Georgia; Viola, Ivan; Smit, Noeska (The Eurographics Association, 2019)
      Three-dimensional (3D) ultrasound imaging and visualization is often used in medical diagnostics, especially in prenatal screening. Screening the development of the fetus is important to assess possible complications early ...
    • A Web-based Application for the Visual Exploration of Colon Morphology Data 

      Males, Jan; Monclús, Eva; Díaz, Jose; Vázquez, Pere-Pau (The Eurographics Association, 2019)
      The colon is an organ whose constant motility poses difficulties to its analysis. Although morphological data can be successfully extracted from Computational Tomography, its radiative nature makes it only indicated for ...