Browsing VCBM 19: Eurographics Workshop on Visual Computing for Biology and Medicine by Issue Date

Now showing items 1-20 of 28

    • Medical Animations: A Survey and a Research Agenda 

      Preim, Bernhard; Meuschke, Monique (The Eurographics Association, 2019)
      Animation is a potentially powerful instrument to convey complex information with movements, smooth transitions between different states that employ the strong human capabilities to perceive and interpret motion. Animation ...

    • 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 ...

    • 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 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 ...

    • 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 ...

    • 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, ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • VCBM 2019: Frontmatter 

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

    • InkVis: A High-Particle-Count Approach for Visualization of Phase-Contrast Magnetic Resonance Imaging Data 

      de Hoon, Niels; Lawonn, Kai; Jalba, Andrei; Eisemann, Elmar; Vilanova, Anna (The Eurographics Association, 2019)
      Phase-Contrast Magnetic Resonance Imaging (PC-MRI) measures volumetric and time-varying blood flow data, unsurpassed in quality and completeness. Such blood-flow data have been shown to have the potential to improve both ...

    • preha: Establishing Precision Rehabilitation with Visual Analytics 

      Bernold, Georg; Matkovic, Kresimir; Gröller, Eduard; Raidou, Renata Georgia (The Eurographics Association, 2019)
      This design study paper describes preha, a novel visual analytics application in the field of in-patient rehabilitation. We conducted extensive interviews with the intended users, i.e., engineers and clinical rehabilitation ...

    • Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients 

      Grossmann, Nicolas; Casares-Magaz, Oscar; Muren, Ludvig Paul; Moiseenko, Vitali; Einck, John P.; Gröller, Eduard; Raidou, Renata Georgia (The Eurographics Association, 2019)
      In radiation therapy, anatomical changes in the patient might lead to deviations between the planned and delivered dose- including inadequate tumor coverage, and overradiation of healthy tissues. Exploring and analyzing ...

    • 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 ...

    • Robustness Evaluation of CFD Simulations to Mesh Deformation 

      Scheid-Rehder, Alexander; Lawonn, Kai; Meuschke, Monique (The Eurographics Association, 2019)
      CFD simulations are an increasingly important method for the non-invasive analysis of risk factors for aneurysm rupture. Their robustness, however, has to be examined more thoroughly before clinical use is possible. We ...

    • Interactive Exploded Views for Molecular Structures 

      Sbardellati, Maximilian; Miao, Haichao; WU, Hsiang-Yun; Groeller, Eduard; Barisic, Ivan; Viola, Ivan (The Eurographics Association, 2019)
      We propose an approach to interactively create exploded views of molecular structures with the goal to help domain experts in their design process and provide them with a meaningful visual representation of component ...

    • DockVis: Visual Analysis of Molecular Docking Data 

      Furmanová, Katarína; Kozlíková, Barbora; Vonásek, Vojtěch; Byška, Jan (The Eurographics Association, 2019)
      Molecular docking is one of the key mechanisms for predicting possible interactions between ligands and proteins. This highly complex task can be simulated by several software tools, providing the biochemists with possible ...

    • MedUse: A Visual Analysis Tool for Medication Use Data in the ABCD Study 

      Bartsch, Hauke; Garrison, Laura; Bruckner, Stefan; Wang, Ariel; Tapert, Susan F.; Grüner, Renate (The Eurographics Association, 2019)
      The RxNorm vocabulary is a yearly-published biomedical resource providing normalized names for medications. It is used to capture medication use in the Adolescent Brain Cognitive Development (ABCD) study, an active and ...