The role of artificial intelligence in medical imaging has become increasingly prevalent over the past years. Numerous applications have already appeared on the market, starting with analyzing conventional imaging like chest radiographs, but lately also encompassing cross-sectional modalities such as computed tomography (CT) or magnetic resonance imaging. Recent advances have paved the way for an automatic characterization of radiographic patterns in medical imaging data [1], which may enhance t…