Browsing VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine by Issue Date

Now showing items 1-15 of 15

    • NeRF for 3D Reconstruction from X-ray Angiography: Possibilities and Limitations 

      Maas, Kirsten W. H.; Pezzotti, Nicola; Vermeer, Amy J. E.; Ruijters, Danny; Vilanova, Anna (The Eurographics Association, 2023)
      Neural Radiance Field (NeRF) is a promising deep learning technique based on neural rendering for three-dimensional (3D) reconstruction. This technique has overcome several limitations of 3D reconstruction techniques, such ...

    • Cytosplore Simian Viewer: Visual Exploration for Multi-Species Single-Cell RNA Sequencing Data 

      Basu, Soumyadeep; Eggermont, Jeroen; Kroes, Thomas; Jorstad, Nikolas; Bakken, Trygve; Lein, Ed; Lelieveldt, Boudewijn; Höllt, Thomas (The Eurographics Association, 2023)
      With the rapid advances in single-cell sequencing technologies, novel types of studies into the cell-type makeup of the brain have become possible. Biologists often analyze large and complex single-cell transcriptomic ...

    • CDF-Based Importance Sampling and Visualization for Neural Network Training 

      Knutsson, Alex; Unnebäck, Jakob; Jönsson, Daniel; Eilertsen, Gabriel (The Eurographics Association, 2023)
      Training a deep neural network is computationally expensive, but achieving the same network performance with less computation is possible if the training data is carefully chosen. However, selecting input samples during ...

    • Bio-Sketch: A New Medium for Interactive Storytelling Illustrated by the Phenomenon of Infection 

      Olivier, Pauline; Chabrier, Renaud; Memari, Pooran; Coll, Jean-Luc; Cani, Marie-Paule (The Eurographics Association, 2023)
      In the field of biology, digital illustrations play a crucial role in conveying complex phenomena, allowing for idealized shapes and motion, in contrast to data visualization. In the absence of suitable media, scientists ...

    • Neural Deformable Cone Beam CT 

      Birklein, Lukas; Schömer, Elmar; Brylka, Robert; Schwanecke, Ulrich; Schulze, Ralf (The Eurographics Association, 2023)
      In oral and maxillofacial cone beam computed tomography (CBCT), patient motion is frequently observed and, if not accounted for, can severely affect the usability of the acquired images. We propose a highly flexible, data ...

    • Communicating Pathologies and Growth to a General Audience 

      Mittenentzwei, Sarah; Mlitzke, Sophie; Lawonn, Kai; Preim, Bernhard; Meuschke, Monique (The Eurographics Association, 2023)
      In this paper, we investigate the suitability of different visual representations of pathological growth using surface models of intracranial aneurysms and liver tumors. By presenting complex medical information in a ...

    • An Interaction Metaphor for Enhanced VR-based Volume Segmentation 

      Monclús, Eva; Vázquez, Pere-Pau (The Eurographics Association, 2023)
      The segmentation of medical models is a complex and time-intensive process required for both diagnosis and surgical preparation. Despite the advancements in deep learning, neural networks can only automatically segment a ...

    • Resectograms: Real-Time 2D Visualization of Liver Virtual Resections 

      Meng, Ruoyan; Aghayan, Davit; Pelanis, Egidijus; Edwin, Bjørn; Cheikh, Faouzi Alaya; Palomar, Rafael (The Eurographics Association, 2023)
      Visualization of virtual resections plays a central role in computer-assisted liver surgery planning. The complexity of the liver's internal structures often leads to difficulties in its proper visualization during the ...

    • Rapid Prototyping for Coordinated Views of Multi-scale Spatial and Abstract Data: A Grammar-based Approach 

      Harth, Philipp; Bast, Arco; Troidl, Jakob; Meulemeester, Bjorge; Pfister, Hanspeter; Beyer, Johanna; Oberlaender, Marcel; Hege, Hans-Christian; Baum, Daniel (The Eurographics Association, 2023)
      Visualization grammars are gaining popularity as they allow visualization specialists and experienced users to quickly create static and interactive views. Existing grammars, however, mostly focus on abstract views, ignoring ...

    • Visual Analytics to Support Treatment Decisions in Late-Stage Melanoma Patients 

      Pereira, Calida; Niemann, Uli; Braun, Andreas; Mengoni, Miriam; Tüting, Thomas; Preim, Bernhard; Meuschke, Monique (The Eurographics Association, 2023)
      We present a visual analytics system to support treatment decisions in late-stage Melanoma patients. With the aim of improving patient outcomes, personalized treatment decisions based on individual characteristics and ...

    • Visual Analytics for the Integrated Exploration and Sensemaking of Cancer Cohort Radiogenomics and Clinical Information 

      El-Sherbiny, Sarah; Ning, Jing; Hantusch, Brigitte; Kenner, Lukas; Raidou, Renata Georgia (The Eurographics Association, 2023)
      We present a visual analytics (VA) framework for the comprehensive exploration and integrated analysis of radiogenomic and clinical data from a cancer cohort. Our framework aims to support the workflow of cancer experts ...

    • Smoke Surfaces of 4D Biological Dynamical Systems 

      Schindler, Marwin; Amirkhanov, Aleksandr; Raidou, Renata Georgia (The Eurographics Association, 2023)
      To study biological phenomena, mathematical biologists often employ modeling with ordinary differential equations. A system of ordinary differential equations that describes the state of a phenomenon as a moving point in ...

    • Reflections on AI-Assisted Character Design for Data-Driven Medical Stories 

      Budich, Beatrice; Garrison, Laura A.; Preim, Bernhard; Meuschke, Monique (The Eurographics Association, 2023)
      Data-driven storytelling has experienced significant growth in recent years to become a common practice in various application areas, including healthcare. Within the realm of medical narratives, characters play a pivotal ...

    • Interactive Visual Exploration of Region-based Sensitivities in Fiber Tracking 

      Siddiqui, Faizan; Höllt, Thomas; Vilanova, Anna (The Eurographics Association, 2023)
      Fiber tracking is a powerful technique that provides valuable insights into the complex white matter structure of the human brain. However, the processing pipeline involves many sources of uncertainty, with one notable ...

    • Eurographics Workshop on Visual Computing for Biology and Medicine: Frontmatter 

      Hansen, Christian; Procter, James; Renata G. Raidou; Jönsson, Daniel; Höllt, Thomas (The Eurographics Association, 2023)