3 papers
cs.CV2024
Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data?
Simon Langer, Jessica Ritter, Rickmer Braren +2
Modern deep learning-based clinical imaging workflows rely on accurate labels of the examined anatomical region. Knowing the anatomical region is required to select applicable down…
eess.IV2024
Using UK Biobank data to establish population-specific atlases from whole body MRI
Sophie Starck, Vasiliki Sideri-Lampretsa, Jessica J. M. Ritter +4
Reliable reference data in medical imaging is largely unavailable. Developing tools that allow for the comparison of individual patient data to reference data has a high potential…
eess.IV2024
Atlas-Based Interpretable Age Prediction In Whole-Body MR Images
Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter +3
Age prediction is an important part of medical assessments and research. It can aid in detecting diseases as well as abnormal ageing by highlighting potential discrepancies between…