With externally funded projects, Helmholtz Imaging aims to initiate cross-cutting research collaborations and perform innovative research in the field of imaging and data science.
Helmholtz Imaging has secured external funding for collaborative projects, in which we contribute our knowledge and expertise on cutting-edge imaging methodology.
These projects not only facilitate the advancement of knowledge but also enrich the Helmholtz Imaging community and stimulate interdisciplinary dialogue that drives progress in the field of imaging.
Explore these exceptional and captivating research projects!
During research stays with the collaborating group at Caltech, we aim to investigate various aspects of statistical inverse problems. This includes inquiries into particle- and PDE-based sampling methods, as well as robust regularization using neural networks.
This project aims to investigate the construction of regularization methods for ill-posed inverse problems based on deep learning and their theoretical foundations. Specific objectives include the development of robust and interpretable results, requiring the initial development of new concepts of robustness and interpretability in this context.
Recently, deep learning methods have excelled at various data processing tasks including the solution of ill-posed inverse problems. The goal of this project is to contribute to the theoretical foundation for truly understanding deep networks as regularization techniques which can reestablish a continuous dependence of the solution on the data.
Compton cameras are used for the radiological characterization of nuclear power plants. In this project, a suitable camera system is designed, and the associated algorithms for image reconstruction and nuclide characterization are implemented as user software.
SFB TRR 154 is a project of the German Research Foundation (DFG) and combines integer-continuous methods, model adaptation, and numerical simulation, to analyze and optimize gas markets, infrastructure, and control of networks. The third funding period specifically focuses on the transition from natural gas to hydrogen.