Anna Reithmeir is a doctoral researcher at the Chair of Computational Imaging and AI in Medicine at TU Munich and the Munich Center for Machine Learning. She received her B.Sc. and M.Sc. in Informatics from TU Munich with a focus on computer vision and high performance computing.

Her PhD project focuses on novel data-driven methods for longitudinal and intra-patient medical image registration. In particular, she explores regularization techniques that ensure physically plausible registration and algorithms for multi-organ abdominal MR/CT images with a focus on the liver. In particular, her current project focuses on images that include pathologies, such as liver metastases.

Additionally, she is interested in leveraging large vision models, diffusion models, and Riemannian manifold-valued data for medical image analysis.

Interests
  • Image registration
  • Longitudinal and Pathological Liver images
Education
  • M.Sc. in Informatics, 2022

    TU Munich

  • B.Sc. in Informatics, 2019

    TU Munich

Teaching
  • Learning of and on Manifolds in Medical Imaging

    Master seminar | WS23/24 |

  • Girl's Day

    Workshop | 2023 |

Student Projects & Theses
  • Diffusion-Based Correspondences between Multimodal Medical Images

    Master's Thesis | 2025 | Xingju Zhang | ongoing |

  • Unsupervised Temporal Diffusion-Based Interpolation for 4D CT

    Master's Thesis | 2025 | Zeyad Mahmoud | finished |

  • Exploring SPD Feature Descriptors for Medical Image Classification

    Master's Thesis | 2024 | Josef Mayr | finished |

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