Portfolio

Research

• Medical image registration
  • Longitudinal and intra-patient data
  • Abdominal MR/CT images with focus on liver
  • Analysis of images with pathologies
• Regularization techniques for image registration
  • physics-inspired methods
• Riemannian manifold-valued data for medical image analysis
• General vision encoders
• Diffusion models

Teaching

• Course topics include
  • basic and advanced AI methodology
  • AI applications in medicine
• Design and teaching of different course formats
  • Master’s seminars (at TU Munich)
  • Girl’s day and further high school workshops (with Munich Center for Machine Learning)
  • Workshop for Bavarian informatics high school teachers (with TU Munich Computing Education Research Group)