PhD Student · Computational Imaging and AI in Medicine, TU Munich
Anna Reithmeir
Researching data-driven models for medical image registration, physics-inspired regularization, and Riemannian manifolds.
M.Sc. and B.Sc. in Informatics from TU Munich, with a background in computer vision and parallel programming. Now researching at the Chair of Computational Imaging and AI in Medicine.
Research Focus
- Medical Image Analysis
- Intra-Patient Image Registration
- Biomechanical Regularization
- Riemannian Manifolds
- Vision Foundation Models
- Diffusion Models
Education
| Since 2023 | Doctoral Researcher | TU Munich & Munich Center for Machine Learning |
| 2022 | M.Sc. Informatics | TU Munich, School of Computation, Information and Technology |
| 2019 | B.Sc. Informatics | TU Munich, School of Computation, Information and Technology Minor subject: Mathematics |
News
- 01.01.2026 Comprehensive review on regularization in medical image registration published in Medical Image Analysis.
- 06.11.2025 Paper Covariance Descriptors Meet General Vision Encoders accepted at ISBI 2026.
- 15.01.2025 interview with the Munich Center for Machine Learning about my work.
- 04.07.2024 Poster presentation at MCML Munich AI Day.
- 13.06.2024 3 Papers accepted at MICCAI 2024 and Workshops
- 13.02.2024 Paper Learning Physics-Inspired Regularization for Medical Image Registration accepted at SPIE Medical Imaging 2024 is a finalist for the Robert F. Wagner Award.
Selected Publications
All publications →
Teaching
- WS23 Master’s Seminar: Learning of and on Manifolds in Medical Imaging — TU Munich
Outreach
- 2023 Girls’ Day workshop with the Munich Center for Machine Learning at LMU Munich about GANs and diffusion models.