Considering human interaction when designing machine learning (ML) systems bears great potential: On the one hand, decision-making in ML systems remains imperfect in practice, thus requiring human interaction for safety-critical applications such as clinical diagnostics. On the other hand, the …
CT image extrapolation
Part of the Applied Computer Vision Lab (ACVL) at dkfz, Heidelberg. Background in computer vision, deep learning, pattern recognition, 3d reconstruction and variational methods.
Interested in Metadata Schemas and extractors for Materials Science applications
Synthetic Aperture Radar, Optical, Earth Observation, Remote Sensing, Deep Learning, Explainable AI
Developing computational tools for optoacoustic imaging and sensing
