2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration
Valentin Comte, Mireia Alenya, Andrea Urru +10
Accurate segmentation of fetal brain magnetic resonance images is crucial for analyzing fetal brain development and detecting potential neurodevelopmental abnormalities. Traditiona…
cs.CV2022★ 2 cited
An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis
Andrea Urru, Ayako Nakaki, Oualid Benkarim +9
The automatic segmentation of perinatal brain structures in magnetic resonance imaging (MRI) is of utmost importance for the study of brain growth and related complications. While…