SOTAVerified

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

Showing 125 of 953 papers

TitleStatusHype
A Survey on Visual MambaCode4
uniGradICON: A Foundation Model for Medical Image RegistrationCode3
multiGradICON: A Foundation Model for Multimodal Medical Image RegistrationCode3
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic MatchingCode2
Local Feature Matching Using Deep Learning: A SurveyCode2
An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain ImagesCode2
Intraoperative 2D/3D Image Registration via Differentiable X-ray RenderingCode2
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image RegistrationCode2
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable RegistrationCode2
VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan ModuleCode2
Parallax-Tolerant Unsupervised Deep Image StitchingCode2
OncoReg: Medical Image Registration for Oncological ChallengesCode2
deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural NetworksCode2
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRICode1
Beyond the LUMIR challenge: The pathway to foundational registration modelsCode1
Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear ElasticityCode1
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective FunctionsCode1
AutoFuse: Automatic Fusion Networks for Deformable Medical Image RegistrationCode1
A Variational Bayesian Method for Similarity Learning in Non-Rigid Image RegistrationCode1
CartiMorph: a framework for automated knee articular cartilage morphometricsCode1
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?Code1
Accelerating Translational Image Registration for HDR Images on GPUCode1
SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registrationCode1
Attention-aware non-rigid image registration for accelerated MR imagingCode1
A Robust and Interpretable Deep Learning Framework for Multi-modal Registration via KeypointsCode1
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Benchmark Results

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