Alexander Effland
Prof. Dr. Alexander Effland
  • Institute for Applied Mathematics
  • Computer Vision
  • Machine Learning
  • Geometry
Alexander Effland's research interests include mathematical image processing/computer vision (variational methods, PDE-based approaches, machine learning, deep learning), mathematics of deep learning, shape analysis, and discrete Riemannian geometry. These methods are frequently applied to problems in immunology or radiology.
Alexander Effland
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