Now showing items 21-28 of 28

    • Feasibility Study For Automatic Bird Tracking and Visualization from Time-Dependent Marine Radar Imagery 

      Ganglberger, Florian; Bühler, Katja (The Eurographics Association, 2019)
      In recent years, radar technology has increasingly been used for the monitoring of bird migration. Marine radars are often utilized for this purpose because of their wide accessibility, range, and resolution. They allow ...
    • Interactive Formation of Statistical Hypotheses in Diffusion Tensor Imaging 

      Abbasloo, Amin; Wiens, Vitalis; Schmidt-Wilcke, Tobias; Sundgren, Pia; Klein, Reinhard; Schultz, Thomas (The Eurographics Association, 2019)
      When Diffusion Tensor Imaging (DTI) is used in clinical studies, statistical hypothesis testing is the standard approach to establish significant differences between groups, such as patients and healthy controls. However, ...
    • 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 ...
    • 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 ...
    • Colonic Content Assessment from MRI Imaging Using a Semi-automatic Approach 

      Ceballos, Victor; Monclús, Eva; Vázquez, Pere-Pau; Bendezú, Álvaro; Mego, Marianela; Merino, Xavier; Azpiroz, Fernando; Navazo, Isabel (The Eurographics Association, 2019)
      The analysis of the morphology and content of the gut is necessary in order to achieve a better understanding of its metabolic and functional activity. Magnetic resonance imaging (MRI) has become an important imaging ...
    • Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks 

      Haarburger, Christoph; Horst, Nicolas; Truhn, Daniel; Broeckmann, Mirjam; Schrading, Simone; Kuhl, Christiane; Merhof, Dorit (The Eurographics Association, 2019)
      Generative adversarial networks have been shown to alleviate the problem of limited training data for supervised learning problems in medical image computing. However, most generative models for medical images focus on ...
    • 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 ...
    • VCBM 2019: Frontmatter 

      Kozlíková, Barbora; Raidou, Renata Georgia (Eurographics Association, 2019)