Prof. Dr. Christoph Lippert

Benjamin Bergner

Research Assistant, PhD Candidate

Phone: +49 331 5509-4823

Room: G-2.1.34

Email: benjamin.bergner(at)hpi.de

Research Interests

  • Machine learning in medical imaging and NLP
  • Information extraction from radiology reports
  • Domain adaptation and Semi-supervised learning

Research Projects

  • The Imaging Research Warehouse (IRW) at Mount Sinai continuously gathers routine medical images. I create an interactive dashboard which summarizes imaging metadata and medical concepts occuring in radiology reports to extract datasets for applied AI projects.
  • External validation of machine learning models is critical to test their use in clinical practice. We build a machine learning model store for medical imaging which enables researchers to share models and simplify their validation. Models trained on public datasets are used to test how well they generalize on IRW data.
  • Once a vision model is trained, it may be used in a different domain but fails to adapt to anatomical, acquisition or scanner differences. In this project, I research on methods using domain adaptation (given no target labels, no source data) and semi-supervision (given limited target labels, abundant unlabeled instances) to account for label scarcity.