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ORCIDVCBM 2022: Vienna, Austria
- Renata G. Raidou, Björn Sommer, Torsten W. Kuhlen, Michael Krone, Thomas Schultz, Hsiang-Yun Wu:
Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2022, Vienna, Austria, September 22-23, 2022. Eurographics Association 2022, ISBN 978-3-03868-177-9 - Frontmatter. i-xii
Narrative, Education, and Virtual Reality (VR)
- Jan N. Hombeck, Monique Meuschke, Simon J. Lieb, Nils Lichtenberg, Rabi R. Datta, Michael Krone, Christian Hansen
, Bernhard Preim, Kai Lawonn:
Distance Visualizations for Vascular Structures in Desktop and VR: Overview and Implementation. 1-10 - Anna Kleinau, Evgenia Stupak, Eric Mörth, Laura A. Garrison, Sarah Mittenentzwei, Noeska N. Smit, Kai Lawonn, Stefan Bruckner, Matthias Gutberlet, Bernhard Preim, Monique Meuschke:
Is there a Tornado in Alex's Blood Flow? A Case Study for Narrative Medical Visualization. 11-21 - José Juan Reyes-Cabrera, José Miguel Santana Núñez, Agustín Trujillo-Pino, Manuel Maynar, Miguel Ángel Rodríguez Florido:
Learning Anatomy through Shared Virtual Reality. 23-27
Uncertainties, Ensembles, and Comparisons
- Monique Meuschke, Samuel Voß, Pepe Eulzer, Gábor Janiga, Christoph Arens, Ralph Wickenhöfer, Bernhard Preim, Kai Lawonn:
COMFIS - Comparative Visualization of Simulated Medical Flow Data. 29-40 - Anna Sterzik, Nils Lichtenberg, Michael Krone, Douglas W. Cunningham, Kai Lawonn:
Perceptual Evaluation of Common Line Variables for Displaying Uncertainty on Molecular Surfaces. 41-51 - Karl Heimes, Marina Evers, Tim Gerrits, Sandeep Gyawali, David Sinden, Tobias Preusser, Lars Linsen:
Studying the Effect of Tissue Properties on Radiofrequency Ablation by Visual Simulation Ensemble Analysis. 53-63 - Ádám Böröndy, Katarína Furmanová, Renata Georgia Raidou:
Understanding the Impact of Statistical and Machine Learning Choices on Predictive Models for Radiotherapy. 65-69
Segmentation, Registration, and Networks
- Kira Schmitt, Jürgen Titschack, Daniel Baum:
Polyp-Cavity Segmentation of Cold-Water Corals guided by Ambient Occlusion and Ambient Curvature. 71-80 - Tanja Eichner, Eric Mörth, Kari S. Wagner-Larsen, Njål Lura, Ingfrid S. Haldorsen, Eduard Gröller, Stefan Bruckner, Noeska N. Smit:
MuSIC: Multi-Sequential Interactive Co-Registration for Cancer Imaging Data based on Segmentation Masks. 81-91 - Thomas Richard, Yan Chastagnier, Vivien Szabo, Kevin Chalard, Brian Summa, Jean-Marc Thiery, Tamy Boubekeur, Noura Faraj:
Multi-modal 3D Image Registration Using Interactive Voxel Grid Deformation and Rendering. 93-97
Visual Analytics, Artificial Intelligence
- Khaled A. Al-Thelaya, Faaiz Joad, Nauman Ullah Gilal, William Mifsud, Giovanni Pintore, Enrico Gobbetti, Marco Agus, Jens Schneider:
HistoContours: a Framework for Visual Annotation of Histopathology Whole Slide Images. 99-109 - Caroline Magg, Renata Georgia Raidou:
Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation. 111-115 - Philipp Harth, Sumit Kumar Vohra, Daniel Udvary, Marcel Oberländer, Hans-Christian Hege, Daniel Baum:
A Stratification Matrix Viewer for Analysis of Neural Network Data. 117-121 - Ariel Iporre-Rivas, Gerik Scheuermann, Christina Gillmann:
Understanding Graph Convolutional Networks to detect Brain Lesions from Stroke. 123-127 - Oliver Stritzel, Renata Georgia Raidou:
Predicting, Analyzing and Communicating Outcomes of COVID-19 Hospitalizations with Medical Images and Clinical Data. 129-133
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