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Deformable Medical Image Registration

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Showing 1–25 of 37 papers

TitleStatusHype
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network—0
Implicit Deformable Medical Image Registration with Learnable Kernels—0
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration—0
IMPACT: A Generic Semantic Loss for Multimodal Medical Image RegistrationCode1
Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance AttentionCode0
NestedMorph: Enhancing Deformable Medical Image Registration with Nested Attention MechanismsCode0
Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration—0
H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration—0
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image RegistrationCode2
A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration.Code1
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registrationCode1
AutoFuse: Automatic Fusion Networks for Deformable Medical Image RegistrationCode1
HNAS-reg: hierarchical neural architecture search for deformable medical image registration—0
SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registrationCode1
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation—0
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image RegistrationCode0
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross AttentionCode1
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective FunctionsCode1
Coordinate Translator for Learning Deformable Medical Image RegistrationCode1
A Transformer-based Network for Deformable Medical Image Registration—0
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image RegistrationCode1
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021Code1
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Learning Conditional Deformable Templates with Convolutional NetworksCode0
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