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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...
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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 ...