38 citations · 38 across the 2 of their papers we have counts for
2 papers
eess.IV2025
Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation
Johannes Tischer, Patric Kienast, Marlene Stümpflen +3
Magnetic Resonance Imaging (MRI) of the fetal brain has become a key tool for studying brain development in vivo. Yet, its assessment remains challenging due to variability in brai…
eess.IV2022★ 38 cited
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation
Lucas Fidon, Michael Aertsen, Florian Kofler +18
Deep learning models for medical image segmentation can fail unexpectedly and spectacularly for pathological cases and images acquired at different centers than training images, wi…