Mathias Feinler

Mathias Feinler is a Researcher at the Department of Mathematics, part of the University of Stuttgart. His work focuses on learned methods in imaging and motion estimation for dynamic inverse problems. He specializes in applying neural networks to solve challenges in medical imaging, such as reconstructing images from limited MRI data and addressing motion artifacts caused by patient movement during measurements. His research combines classical mathematical approaches with deep learning techniques to enhance data-consistent reconstructions.

Feinler’s expertise lies in inverse problem theory, probabilistic modeling (e.g., MAP solutions), and the application of neural networks to estimate distributions of anatomical features (e.g., brain MRIs). He explores non-linear forward operators to model perturbations in imaging data acquisition, aiming to develop robust correction methods for motion-induced errors. His work bridges mathematical engineering and computational science.

Contact details include his office at Pfaffenwaldring 57, Room 8.160, Stuttgart, with appointments available upon request.