6 papers
CORTET: Robust generation of simulation-ready tetrahedral meshes of the fetal cerebral cortex
Davood Shahsavari, Irina Grigorescu, Katherine R. Long +10
Every human brain folds differently, and such natural variation confounds the search for imaging biomarkers of neurodevelopmental disorders. Physics-based simulation can help deter…
Scanner-based real-time automated volumetry reporting of the fetus, amniotic fluid, placenta and umbilical cord for fetal MRI at 0.55T
Sara Neves Silva, Alena Uus, Hadi Waheed +18
Purpose: This work aims to enable real-time automated intra-uterine volumetric reporting and fetal weight estimation for fetal MRI, deployed directly on the scanner. Methods: A mul…
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations
Maik Dannecker, Thomas Sanchez, Meritxell Bach Cuadra +6
High-resolution slice-to-volume reconstruction (SVR) from multiple motion-corrupted low-resolution 2D slices constitutes a critical step in image-based diagnostics of moving subjec…
Automatic 8-tissue Segmentation for 6-month Infant Brains
Yilan Dong, Vanessa Kyriakopoulou, Irina Grigorescu +3
Numerous studies have highlighted that atypical brain development, particularly during infancy and toddlerhood, is linked to an increased likelihood of being diagnosed with a neuro…
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande +3
We introduce a conditional implicit neural atlas (CINA) for spatio-temporal atlas generation from Magnetic Resonance Images (MRI) of the neurotypical and pathological fetal brain,…
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction
Qiang Ma, Liu Li, Vanessa Kyriakopoulou +4
Cortical surface reconstruction plays a fundamental role in modeling the rapid brain development during the perinatal period. In this work, we propose Conditional Temporal Attentio…