Organized by Valentina Pedoia from the Center for Intelligent Imaging at the University of California, San Francisco, and Claus-C. Glüer from the Section Biomedical Imaging at the University Kiel, this third session of the UCSF/CAU Webinar on Artificial Intelligence in Biomedical Imaging will focus on Uncertainty of decisions – how artificial and human intelligence try to cope.

The session will inlcude the following presentations:

  • Estimating Uncertainty Through Bayesian Deep Learning, Andrew Leynes, Department of Radiology & Biomedical Imaging, UCSF
  • Swarm Intelligence: A Novel Clinical Strategy for Improving Imaging Annotation Accuracy, Using Wisdom of the Crowds, Rutwik Shah, Department of Radiology & Biomedical Imaging, UCSF
  • Handling Fuzzy Labels With Overclustering, Lars Schmarje, Department of Computer Science, Christian-Albrechts-Universität zu Kiel

The Webinar will take place on January 21, from 5 to 7pm, and will be accessible via this link and the following ID and Passcode: