4 citations · 4 across the 3 of their papers we have counts for
3 papers
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.…
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…
Knowledge distillation from multi-modal to mono-modal segmentation networks
Minhao Hu, Matthis Maillard, Ya Zhang +4
The joint use of multiple imaging modalities for medical image segmentation has been widely studied in recent years. The fusion of information from different modalities has demonst…