Name: Leveraging (Bayesian) Uncertainty Information: Opportunities and Failure Modes
Start: 2019-03-21T19:00:00+01:00
End: 2019-03-21T21:00:00+01:00
Location: Deutsches Krebsforschungszentrum

We are happy to have Christian Leibig, Machine Intelligence Engineer at MX Healthcare, give a talk on his recent work on how to leverage uncertainty information in deep learning applications for healthcare. For a full abstract head over to https://heidelberg.ai/2019/03/21/bayesian_uncertainty.html . Drinks and snacks will be provided, courtesy of the Division of Medical Image Computing at DKFZ.

Paul Jaeger

Simon Kohl

Jens Petersen

heidelberg.ai

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 Leveraging (Bayesian) Uncertainty Information: Opportunities and Failure Modes

Deutsches Krebsforschungszentrum

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Leveraging (Bayesian) Uncertainty Information: Opportunities and Failure Modes

heidelberg.ai

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