most citedImproving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training

10 citations · 10 across the 5 of their papers we have counts for

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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…

eess.IV2021

Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies

Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler +3

In multi-center randomized clinical trials imaging data can be diverse due to acquisition technology or scanning protocols. Models predicting future outcome of patients are impaire…