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  1. Chapter and Conference Paper

    Abstract: MOOD 2020

    Detecting out-of-distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the algorithms encounter cases that deviate from the di...

    David Zimmerer, Peter Full, Fabian Isensee in Bildverarbeitung für die Medizin 2023 (2023)

  2. No Access

    Article

    Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

    Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of ...

    Tobias Ross, David Zimmerer, Anant Vemuri in International Journal of Computer Assisted… (2018)