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

Now showing items 6-25 of 28

    • HIFUpm: a Visual Environment to Plan and Monitor High Intensity Focused Ultrasound Treatments 

      Modena, Daniela; Bassano, Davide; Elevelt, Aaldert; Baragona, Marco; Hilbers, Peter A. J.; Westenberg, Michel A. (The Eurographics Association, 2019)
      High Intensity Focused Ultrasound (HIFU) is a non invasive therapeutic method, which has been a subject of interest for the treatment of various kinds of tumors. Despite the numerous advantages, HIFU techniques do not reach ...

    • Hybrid Visualization of Protein-Lipid and Protein-Protein Interaction 

      Alharbi, Naif; Krone, Michael; Chavent, Matthieu; Laramee, Robert S. (The Eurographics Association, 2019)
      In the Molecular Dynamics (MD) visualization literature, different approaches are utilized to study protein-lipid interactions (PLI) and protein-protein interaction (PPI) in decoupled contexts. However, the two types of ...

    • 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 ...

    • Interactive CPU-based Ray Tracing of Solvent Excluded Surfaces 

      Rau, Tobias; Zahn, Sebastian; Krone, Michael; Reina, Guido; Ertl, Thomas (The Eurographics Association, 2019)
      Depictions of molecular surfaces such as the Solvent Excluded Surface (SES) can provide crucial insight into functional molecular properties, such as the molecule's potential to react. The interactive visualization of ...

    • 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 ...

    • 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, ...

    • Layer-Aware iOCT Volume Rendering for Retinal Surgery 

      Weiss, Jakob; Eck, Ulrich; Nasseri, Muhamad Ali; Maier, Mathias; Eslami, Abouzar; Navab, Nassir (The Eurographics Association, 2019)
      Retinal microsurgery is one of the most challenging types of surgery, yet in practice, intraoperative digital assistance is rare. The introduction of fast, microscope integrated Optical Coherence Tomography (iOCT) has ...

    • 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 ...

    • 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 ...

    • Molecular Sombreros: Abstract Visualization of Binding Sites within Proteins 

      Schatz, Karsten; Krone, Michael; Bauer, Tabea L.; Ferrario, Valerio; Pleiss, Jürgen; Ertl, Thomas (The Eurographics Association, 2019)
      We present a novel abstract visualization for the binding sites of proteins. Binding sites play an essential role in enzymatic reactions and are, thus, often investigated in structural biology. They are typically located ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...