EASR-DCN combines GMM-based unsupervised ROI segmentation with a divide-and-conquer network to improve deformable registration accuracy on brain, cardiac, and hippocampus MRI and cardiac CT.
Residual aligner-based network (ran): Motion-separable structure for coarse-to- fine discontinuous deformable registration,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
EASR-DCN combines GMM-based unsupervised ROI segmentation with a divide-and-conquer network to improve deformable registration accuracy on brain, cardiac, and hippocampus MRI and cardiac CT.