A fully neural slice-to-volume reconstruction method using two SIREN networks with self-supervised meta-learning improves fetal brain MRI quality under severe motion and speeds up reconstruction.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations
A fully neural slice-to-volume reconstruction method using two SIREN networks with self-supervised meta-learning improves fetal brain MRI quality under severe motion and speeds up reconstruction.