ML-CDS 2020: Multimodal Learning for Clinical Decision Support

Call for Papers

Topics for the workshop include, but are not limited to:

  • Machine learning-driven generation and annotation of medical imaging datasets for clinical decision support
  • Radiomics and proteomics
  • Digital Pathology
  • Decision support for interventional procedures
  • Statistical machine learning-driven decision support algorithms
  • Combining text and image analysis for electronic health records
  • Clinical decision support for treatment planning
  • Imaging biomarkers for measuring response to treatments
  • Browsing and summarization methods for large multimodal data for use in clinical decision support
  • Disease model-building and clinical decision support systems based on multimodal analysis
  • Evaluation and benchmarking of algorithms on ImageCLEF and Visceral medical image collections
  • Results of clinical studies/evaluations of decision support algorithms in clinical practice
  • Creation and validation on large benchmarking medical imaging datasets