The Computer Vision group conducts research on theory and algorithms for the analysis of image-based data. This includes imaging, computer vision and image processing, with a focus on discrete data on multidimensional grids.
Data Management, Mining and Analysis studies methods and applications involving large data volumes or complex data collections in all information systems.
The SATOMI platform is designed to expand the range of use cases and to accelerate the time-to-insight in the field of microbial single-cell analysis.
FluoMap pursues the goal of extracting fluorescence signals from the measurement data of the satellite- or airborne imaging spectrometers DESIS and HyPlant using state-of-the-art AI methods. This will make it possible to generate global fluorescence maps, which will play a key role in the worldwide monitoring of the vegetation health status.
Within the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE), IAS-8 is involved via a PhD project on transfer learning methods for computational medicine.
Publications of IAS-8