Tübingen, Germany, September 28 – October 1 (virtual)


Feature Analysis
Interactive Classification of Multi-Shell Diffusion MRI With Features From a Dual-Branch CNN Autoencoder
Agajan Torayev and Thomas Schultz
Feature Exploration using Local Frequency Distributions in Computed Tomography Data
Martin Falk, Patric Ljung, Claes Lundström, Anders Ynnerman, and Ingrid Hotz
VR Applications
An Endoscope Interface for Immersive Virtual Reality
Nigel W. John, Thomas W. Day, and Terrence Wardle
VRIDAA: Virtual Reality Platform for Training and Planning Implantations of Occluder Devices in Left Atrial Appendages
Elodie Medina, Ainhoa M. Aguado, Jordi Mill, Xavier Freixa, Dabit Arzamendi, Carlos Yagüe, and Oscar Camara
The Virtual Reality Flow Lens for Blood Flow Exploration
Benjamin Behrendt, Lisa Piotrowski, Sylvia Saalfeld, Bernhard Preim, and Patrick Saalfeld
Learning Hand Anatomy with Sense of Embodiment
Patrick Saalfeld, Aylin Albrecht, Wolfgang D'Hanis, Hermann-Josef Rothkötter, and Bernhard Preim
VR Acrophobia Treatment - Development of Customizable Acrophobia Inducing Scenarios
Sebastian Wagner, Kay Illner, Matthias Weber, Bernhard Preim, and Patrick Saalfeld
Student and Teacher Meet in a Shared Virtual Reality: A one-on-one Tutoring System for Anatomy Education
Patrick Saalfeld, Anna Schmeier, Wolfgang D'Hanis, Hermann-Josef Rothkötter, and Bernhard Preim
Joint Session DAGM GCPR - VMV - VCBM
InShaDe: Invariant Shape Descriptors for Visual Analysis of Histology 2D Cellular and Nuclear Shapes
Marco Agus, Khaled Al-Thelaya, Corrado Cali, Marina M. Boido, Yin Yang, Giovanni Pintore, Enrico Gobbetti, and Jens Schneider
VA and Uncertainty
Visual Analysis of Multivariate Intensive Care Surveillance Data
Nicolas Brich, Christoph Schulz, Jörg Peter, Wilfried Klingert, Martin Schenk, Daniel Weiskopf, and Michael Krone
GLANCE: Visual Analytics for Monitoring Glaucoma Progression
Astrid van den Brandt, Mark Christopher, Linda M. Zangwill, Jasmin Rezapour, Christopher Bowd, Sally L. Baxter, Derek S. Welsbie, Andrew Camp, Sasan Moghimi, Jiun L. Do, Robert N. Weinreb, Chris C. P. Snijders, and Michel A. Westenberg
Uncertainty-aware Brain Lesion Visualization
Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Karl-Titus Hoffmann, Hans Hagen, Ross Maciejewski, and Gerik Scheuermann
Proteins
Analyzing Protein Similarity by Clustering Molecular Surface Maps
Karsten Schatz, Florian Frieß, Marco Schäfer, Thomas Ertl, and Michael Krone
Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps
Hannah Kniesel, Timo Ropinski, and Pedro Hermosilla
Vascular and Flow
Aneulysis - A System for Aneurysm Data Analysis
Monique Meuschke, Ralph Wickenhöfer, Bernhard Preim, and Kai Lawonn
Interactive Visual Similarity Analysis of Measured and Simulated Multi-field Tubular Flow Ensembles
Simon Leistikow, Ali Nahardani, Verena Hoerr, and Lars Linsen
VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data
Florian Thamm, Markus Jürgens, Hendrik Ditt, and Andreas Maier

Recent Submissions

  • VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data 

    Thamm, Florian; Jürgens, Markus; Ditt, Hendrik; Maier, Andreas (The Eurographics Association, 2020)
    Computed Tomography Angiography (CTA) is one of the most commonly used modalities in the diagnosis of cerebrovascular diseases like ischemic strokes. Usually, the anatomy of interest in ischemic stroke cases is the Circle ...
  • Interactive Visual Similarity Analysis of Measured and Simulated Multi-field Tubular Flow Ensembles 

    Leistikow, Simon; Nahardani, Ali; Hoerr, Verena; Linsen, Lars (The Eurographics Association, 2020)
    Tubular flow analysis plays an important role in many fields, such as for blood flow analysis in medicine, e.g., for the diagnosis of cardiovascular diseases and treatment planning. Phase-contrast magnetic resonance imaging ...
  • Aneulysis - A System for Aneurysm Data Analysis 

    Meuschke, Monique; Wickenhöfer, Ralph; Preim, Bernhard; Lawonn, Kai (The Eurographics Association, 2020)
    We present ANEULYSIS, a system to improve risk assessment and treatment planning of cerebral aneurysms. Aneurysm treatment must be carefully examined as there is a risk of fatal outcome during surgery. Aneurysm growth, ...
  • Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps 

    Kniesel, Hannah; Ropinski, Timo; Hermosilla, Pedro (The Eurographics Association, 2020)
    Amyloid-beta fibrils are the result of the accumulation of misfolded amyloid precursor proteins along an axis. These fibrils play a crucial role in the development of Alzheimer's disease, and yet its creation and structure ...
  • Analyzing Protein Similarity by Clustering Molecular Surface Maps 

    Schatz, Karsten; Frieß, Florian; Schäfer, Marco; Ertl, Thomas; Krone, Michael (The Eurographics Association, 2020)
    Many biochemical and biomedical applications like protein engineering or drug design are concerned with finding functionally similar proteins, however, this remains to be a challenging task. We present a new imaged-based ...
  • Uncertainty-aware Brain Lesion Visualization 

    Gillmann, Christina; Saur, Dorothee; Wischgoll, Thomas; Hoffmann, Karl-Titus; Hagen, Hans; Maciejewski, Ross; Scheuermann, Gerik (The Eurographics Association, 2020)
    A brain lesion is an area of tissue that has been damaged through injury or disease. Its analysis is an essential task for medical researchers to understand diseases and find proper treatments. In this context, visualization ...
  • GLANCE: Visual Analytics for Monitoring Glaucoma Progression 

    Brandt, Astrid van den; Christopher, Mark; Zangwill, Linda M.; Rezapour, Jasmin; Bowd, Christopher; Baxter, Sally L.; Welsbie, Derek S.; Camp, Andrew; Moghimi, Sasan; Do, Jiun L.; Weinreb, Robert N.; Snijders, Chris C. P.; Westenberg, Michel A. (The Eurographics Association, 2020)
    Deep learning is increasingly used in the field of glaucoma research. Although deep learning models can achieve high accuracy, issues with trust, interpretability, and practical utility form barriers to adoption in clinical ...
  • Visual Analysis of Multivariate Intensive Care Surveillance Data 

    Brich, Nicolas; Schulz, Christoph; Peter, Jörg; Klingert, Wilfried; Schenk, Martin; Weiskopf, Daniel; Krone, Michael (The Eurographics Association, 2020)
    We present an approach for visual analysis of high-dimensional measurement data with varying sampling rates in the context of an experimental post-surgery study performed on a porcine surrogate model. The study aimed at ...
  • InShaDe: Invariant Shape Descriptors for Visual Analysis of Histology 2D Cellular and Nuclear Shapes 

    Agus, Marco; Al-Thelaya, Khaled; Cali, Corrado; Boido, Marina M.; Yang, Yin; Pintore, Giovanni; Gobbetti, Enrico; Schneider, Jens (The Eurographics Association, 2020)
    We present a shape processing framework for visual exploration of cellular nuclear envelopes extracted from histology images. The framework is based on a novel shape descriptor of closed contours relying on a geodesically ...
  • Student and Teacher Meet in a Shared Virtual Reality: A one-on-one Tutoring System for Anatomy Education 

    Saalfeld, Patrick; Schmeier, Anna; D'Hanis, Wolfgang; Rothkötter, Hermann-Josef; Preim, Bernhard (The Eurographics Association, 2020)
    We introduce a Virtual Reality (VR) one-on-one tutoring system to support anatomy education. A student uses a fully immersive VR headset to explore the anatomy of the base of the human skull. A teacher guides the student ...
  • VR Acrophobia Treatment - Development of Customizable Acrophobia Inducing Scenarios 

    Wagner, Sebastian; Illner, Kay; Weber, Matthias; Preim, Bernhard; Saalfeld, Patrick (The Eurographics Association, 2020)
    Specific phobias are among the most common mental diseases, affecting the lives of millions of people. Yet, many cases remain untreated and even undiagnosed, partly due to entry barriers such as waiting times and inconvenience ...
  • Learning Hand Anatomy with Sense of Embodiment 

    Saalfeld, Patrick; Albrecht, Aylin; D'Hanis, Wolfgang; Rothkötter, Hermann-Josef; Preim, Bernhard (The Eurographics Association, 2020)
    We present a VR-based prototype for learning the hand anatomy. The prototype is designed to support embodied cognition, i.e., a learning process based on movements. The learner employs the prototype in VR by moving their ...
  • The Virtual Reality Flow Lens for Blood Flow Exploration 

    Behrendt, Benjamin; Piotrowski, Lisa; Saalfeld, Sylvia; Preim, Bernhard; Saalfeld, Patrick (The Eurographics Association, 2020)
    The exploration of time-dependent measured or simulated blood flow is challenging due to the complex three-dimensional structure of vessels and blood flow patterns. Especially on a 2D screen, understanding their full shape ...
  • VRIDAA: Virtual Reality Platform for Training and Planning Implantations of Occluder Devices in Left Atrial Appendages 

    Medina, Elodie; Aguado, Ainhoa M.; Mill, Jordi; Freixa, Xavier; Arzamendi, Dabit; Yagüe, Carlos; Camara, Oscar (The Eurographics Association, 2020)
    Personalized anatomical information of the heart is usually obtained from the visual analysis of patient-specific medical images with standard multiplanar reconstruction (MPR) of 2D orthogonal slices, volume rendering and ...
  • An Endoscope Interface for Immersive Virtual Reality 

    John, Nigel W.; Day, Thomas W.; Wardle, Terrence (The Eurographics Association, 2020)
    This is a work in progress paper that describes a novel endoscope interface designed for use in an immersive virtual reality surgical simulator. We use an affordable off the shelf head mounted display to recreate the ...
  • Interactive Classification of Multi-Shell Diffusion MRI With Features From a Dual-Branch CNN Autoencoder 

    Torayev, Agajan; Schultz, Thomas (The Eurographics Association, 2020)
    Multi-shell diffusion MRI and Diffusion Spectrum Imaging are modern neuroimaging modalities that acquire diffusion weighted images at a high angular resolution, while also probing varying levels of diffusion weighting (b ...
  • Feature Exploration using Local Frequency Distributions in Computed Tomography Data 

    Falk, Martin; Ljung, Patric; Lundström, Claes; Ynnerman, Anders; Hotz, Ingrid (The Eurographics Association, 2020)
    Frequency distributions (FD) are an important instrument when analyzing and investigating scientific data. In volumetric visualization, for example, frequency distributions visualized as histograms, often assist the user ...
  • VCBM 2020: Frontmatter 

    Kozlíková, Barbora; Krone, Michael; Smit, Noeska; Nieselt, Kay; Raidou, Renata Georgia (The Eurographics Association, 2020)