Christian F. Baumgartner
Scholar

Christian F. Baumgartner

Google Scholar ID: 9MSArZUAAAAJ
University of Tübingen & University of Lucerne
Machine LearningMedical Image Analysis
Citations & Impact
All-time
Citations
5,537
 
H-index
22
 
i10-index
38
 
Publications
20
 
Co-authors
30
list available
Resume (English only)
Research Experience
  • Assistant Professor in Health Data Science at the University of Lucerne since February 2024
  • Leading an independent research group at the University of Tübingen since February 2021 (still maintained)
  • Senior research engineer at PTC Vuforia, focusing on ML for augmented reality applications
  • Postdoctoral researcher in the Biomedical Image Computing Group at ETH Zürich with Prof. Ender Konukoglu
  • Worked in the Biomedical Image Analysis Lab with Prof. Daniel Rueckert
Background
  • Assistant Professor for Health Data Science at the University of Lucerne, Switzerland
  • Leads the research group 'Machine Learning in Medical Image Analysis', jointly hosted at the Faculty of Health Sciences and Medicine, University of Lucerne, and the Cluster of Excellence 'Machine Learning for Science' at the University of Tübingen, Germany
  • Main research focus is on developing and applying machine learning (ML) technology for medical image analysis
  • Aims to identify criteria ML must fulfill to be clinically useful and solve underlying ML challenges
  • Specific research topics include: learning from small datasets, robustness and uncertainty quantification, interpretable ML, and generative modeling of large medical datasets