Aims and Scope
Work presented at the Eurographics Symposium on Visual Computing for Biology and Medicine EG VCBM should reflect the state of the art in visual computing and its applications in biology and medicine. VCBM’s scope encompasses all aspects of visual computing research, technological development, and practices in medicine and life sciences. Relevant topics include the acquisition, processing, visualization, and interpretation of image data in biology and medicine, and the visual analysis and communication of life science data.
Submission types for VCBM 2026
Submissions for this year’s meeting include a journal track (full research and survey papers) and a conference track (shorter papers) as well as posters and demos. All accepted full papers and surveys will be featured in a special issue of the journal Computers & Graphics (C&G). Please see the previous Computers & Graphics special issue and EG VCBM proceedings for examples of published papers. We encourage authors to provide supporting information in the form of video and other media. Accepted work will focus on a well-defined biological or medical problem and demonstrate significant innovation or improvement in visual computing. Surveys are long-form submissions addressing new and emerging topics in visual computing, biology, and medicine.
This year, we also invite submissions to the VCBM Image Contest. We seek striking visualizations, renderings, or artistic interpretations of medical and biological data that communicate complex science or reveal the beauty of the domain. Entries will be judged on both scientific relevance and artistic impact.
Topics
All aspects relating to the development, application, and practices of visual computing in the life sciences are relevant to the meeting. These include:
- Visual computing solutions designed for use by medical, biomedical, and biological practitioners, researchers, and educators.
- The use of eXtended Reality (e.g., for surgical procedures, molecular visualization, rehabilitation, and therapy).
- Approaches for processing, visual analysis, and communication of data from new or challenging modalities (e.g., real-time ultrasound, CyTOF, Spectroscopy, layer fMRI, single-cell and spatial-omics, environmental monitoring).
- Visual computing approaches incorporating artificial intelligence (AI) and explainable AI (XAI). Including but not limited to XAI methods and approaches designed for clinical support on individual and cohort electronic health records
- Visual computing solutions that support new approaches for modeling and simulation with applications in medicine and biology.
- Workflows and processes leveraging visual computing to facilitate interdisciplinary collaboration in biology and medicine.
- Visualization and visual storytelling methods designed to communicate healthcare data to patients and laymen, supporting diagnoses interpretation and doctor-patient relationship
Formats
VCBM 2026 will feature three main tracks. For more details on how to submit, please visit the corresponding instruction pages: