A deep unrolling network with spatiotemporal rotation equivariance outperforms previous methods on cardiac cine MRI at high undersampling factors.
Low-rank modeling of localk-space neighborhoods (LO- RAKS) for constrained MRI,
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
-
DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction
A deep unrolling network with spatiotemporal rotation equivariance outperforms previous methods on cardiac cine MRI at high undersampling factors.