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GRAIL 2020 : 3rd Workshop on GRaphs in biomedicAl Image anaLysis

Lima, Peru
Event Date: Oct 08, 2020 - Oct 08, 2020
Submission Deadline: Jun 30, 2020
Notification of Acceptance: Jul 21, 2020
Camera Ready Version Due : Jul 28, 2020


GRAIL 2020 is the third international workshop on GRaphs in biomedicAl Image anaLysis, organised as a satellite event of MICCAI 2020 in Lima, Peru.

Graph-based models have been developed for a wide variety of problems in computer vision and biomedical image analysis. Applications ranging from segmentation, registration, classification, and shape modelling, to population analysis have been successfully encoded through graph structures, demonstrating the versatile and principled nature of the graph based approaches.

With this workshop we aim to highlight the potential of using graph-based models for biomedical image analysis. Our goal is to bring together scientists that use and develop graph-based models for the analysis of biomedical images and encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.

Call For Paper

The covered topics include but are not limited to:

  • Deep/machine learning on graphs with regular and irregular structures
  • Probabilistic graphical models for biomedical image analysis
  • Discrete and continuous optimization for graphical models
  • Signal processing on graphs for biomedical image analysis
  • Deep/machine learning on structured and unstructured graphs
  • Convolutional neural networks on graphs
  • Graphs for large scale population analysis
  • Graph-based shape modeling and dimensionality reduction
  • Combining imaging and non-imaging data through graph structures
  • Graph-based generative models for biomedical image analysis
  • Graph spectral methods
  • Algorithms on graphs
  • Graphs in neuroimaging
  • Applications of graph-based models and algorithms to biomedical image analysis tasks (segmentation, registration, classification, etc.)

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