A DFG-funded research project launching at the Computational Imaging Lab and IDEA Lab

A new DFG-funded research project is starting collaboratively between the Computational Imaging Lab (Prof. Florian Knoll) and the Image Data Exploration and Analysis Lab (Prof. Bernhard Kainz). The project’s purpose is to merge machine learning for image reconstruction and image-based disease localization into a cohesive framework, thus providing an end-to-end learnable image reconstruction and joint pathology detection approach that operates directly on raw measurement data. Our hypothesis is that this combination can maximize diagnostic accuracy while providing optimal images for both human experts and diagnostic machine learning models.