Call for contributions

Aims and Scope

EG VCBM, the Eurographics Workshop on Visual Computing for Biology and Medicine, is an annual event addressing the state of the art in visual computing research with a strong focus on applications in biology and medicine. It provides an interdisciplinary forum for experts (researchers and practitioners) from visualization, visual analytics, computer graphics, image processing, computer vision, human computer interfaces as well as experts from biology and medicine, jointly working on next generation visual computing solutions for medicine, healthcare and the biotechnology sector.

EG VCBM solicits the submission of original, application-oriented research papers that advance the fusion of visual computing methods within medicine and biology. All papers (regular papers as well as short papers) should focus on a well-defined biological/medical problem, and demonstrate a significant innovation or improvement in visual computing.

Suggested topics

for papers include, but are not limited to:

  • Visual computing solutions for medical applications like radiology, surgery, pathology, cardiology, nephrology, neurology, etc., including medical education
  • Visual computing solutions for applications that support biomedical research in systems biology, *omics research, molecular pathology, neuroanatomy, biomedical imaging, etc.
  • Medical simulation and visual computing solutions that support new approaches in computational medicine, including also the uses of stereoscopy and haptics
  • Visualization approaches for data from new or challenging imaging modalities including real-time imaging (e.g., ultrasound)
  • Visual computing solutions in the context of the virtual physiological human
    Survey papers on visual computing in biology and medicine

MethodsĀ 
might include, but are not limited to:

  • Visualization and analysis of all kinds of biomedical data (signals and images)
  • Visualization, mining and analysis of biomedical data collections, including cohort data
  • Information visualization of medical data sets, e.g., electronic health records
  • Computer models of biomechanical, physiological, and biochemical functions in living systems
  • Fusion, analysis and visualization of heterogeneous and/or multi-source data
  • Multi-scale methods and data structures for large data
  • Interaction and design of visual computing workflows in medicine and biology
  • Data tracking and registration
  • Data reconstruction and geometry extraction
  • Real time rendering and interaction with anatomy models