2 papers
cs.CV2025
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training
Daniel Sobotka, Alexander Herold, Matthias Perkonigg +5
Liver vessel segmentation in magnetic resonance imaging data is important for the computational analysis of vascular remodelling, associated with a wide spectrum of diffuse liver d…
eess.IV2025
Identifying Signatures of Image Phenotypes to Track Treatment Response in Liver Disease
Matthias Perkonigg, Nina Bastati, Ahmed Ba-Ssalamah +6
Quantifiable image patterns associated with disease progression and treatment response are critical tools for guiding individual treatment, and for developing novel therapies. Here…