They originate from our research groups as well as from projects funded by us, theses supervised by us and collaborations initiated through us.
To be listed here, Helmholtz Imaging must have made a significant contribution to the provision of the software, be mentioned in the acknowledgements, or provide at least one of the authors.
Your contribution is missing? Write to us: support@helmholtz-imaging.de
The purpose of this publication archive is not only to provide bibliographic data of Helmholtz Imaging publications, but also to provide access to the full text, as far as this is possible with respect to copyright.
Helmholtz Imaging Projects are granted to cross-disciplinary research teams that identify innovative research topics at the intersection of imaging and information & data science, initiate cross-cutting research collaborations, and thus underpin the growth of the Helmholtz Imaging network. These annual calls are based on the general concept for Helmholtz Imaging and are in line with the future topics of the Initiative and Networking Fund (INF).
The Research Unit at DESY focuses on the early stages of the imaging pipeline, developing methods for advanced image reconstruction, including the optimization of measurements and the combination of classical methods with data-driven approaches. Our goal is to drag out a maximal amount of (quantitative) information from given or designed measurements.
The Research Unit at MDC focuses on integrating heterogeneous imaging data across modalities, scales, and time. We develop concepts and algorithms for generic processing, stitching, fusion, and visualization of large, high-dimensional datasets. Our aim is to enable seamless analysis of complex imaging data without restrictions on the underlying modalities.
The Research Unit at DKFZ focuses on the downstream stages of the imaging pipeline, developing robust methods for automated image analysis and emphasizing rigorous validation. Our goal is to enable trustworthy and generalizable AI across scientific imaging domains.