4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Towards Reliable and Reproducible Fetal Brain Biometry: A Deep Learning Approach Using MRI
Francesca Maccarone, Marina Di Stefano, Giorgio Longari +7
Fetal brain biometry is essential for quantitative assessment of brain development, supporting gestational age estimation, developmental monitoring, and detection of abnormalities.…
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…