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Image Registration

Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.

Source: Image registration | Wikipedia

( Image credit: Kornia )

Papers

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Showing 101–125 of 953 papers

TitleStatusHype
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationCode1
Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant ModelingCode1
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements MatchingCode1
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image RegistrationCode1
ModeT: Learning Deformable Image Registration via Motion Decomposition TransformerCode1
DeepReg: a deep learning toolkit for medical image registrationCode1
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural NetworksCode1
Deformable Groupwise Image Registration using Low-Rank and Sparse DecompositionCode1
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image RegistrationCode1
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image RegistrationCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
DISA: DIfferentiable Similarity Approximation for Universal Multimodal RegistrationCode1
Fourier-Net: Fast Image Registration with Band-limited DeformationCode1
Affine Medical Image Registration with Coarse-to-Fine Vision TransformerCode1
On-the-Fly Guidance Training for Medical Image RegistrationCode1
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image RegistrationCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe KeypointsCode1
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021Code1
Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image RegistrationCode1
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registrationCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited DataCode1
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual ScansCode1
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All datasetsUnpaired-abdomen-CTFIREUnpaired-lung-CTOsteoarthritis InitiativeDIR-LAB COPDgene

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RAN4+DSC0.62—Unverified
2CLIP+SVD+ViTDSC0.61—Unverified
3CLIP+SVD+ResNetDSC0.6—Unverified
4CLIP+ViTDSC0.59—Unverified
5Chatgpt+SVDDSC0.58—Unverified
6RMAnDSC0.55—Unverified
7RAN3DSC0.54—Unverified
8SAME++DSC0.49—Unverified
9DnetDSC0.47—Unverified
#ModelMetricClaimedVerifiedStatus
1LKRetinamAUC0.76—Unverified
2SuperRetinamAUC0.76—Unverified
3REMPE, JBHI 2020mAUC0.72—Unverified
4GLAMpoints, ICCV 2019mAUC0.62—Unverified
5SIFTmAUC0.57—Unverified
6PBO, ICIP 2010mAUC0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1DnetASD5.01—Unverified
2RMAnASD3.83—Unverified
3RAN4+ASD3.8—Unverified
4RAN3ASD3.01—Unverified
#ModelMetricClaimedVerifiedStatus
1Region-specific Diffeomorphic Metric MappingDice68.18—Unverified
2vSVF-net [shen2019networks]Dice67.59—Unverified
#ModelMetricClaimedVerifiedStatus
1Recursive Refinement Networklandmarks0.83—Unverified