4 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.IV2026
Self-Supervised Multi-Stage Domain Unlearning for White-Matter Lesion Segmentation
Domen Preložnik, Žiga Špiclin
Inter-scanner variability of magnetic resonance imaging has an adverse impact on the diagnostic and prognostic quality of the scans and necessitates the development of models robus…
cs.CV2025★ 4 cited
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67
Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…