Publications

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.