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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–475 of 953 papers

TitleStatusHype
Groupwise registration of aerial images—0
Groupwise Registration via Graph Shrinkage on the Image Manifold—0
GUI-based Pedicle Screw Planning on Fluoroscopic Images Utilizing Vertebral Segmentation—0
Hessian-based Similarity Metric for Multimodal Medical Image Registration—0
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data—0
FDRN: A Fast Deformable Registration Network for Medical Images—0
Fast Predictive Simple Geodesic Regression—0
cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration—0
Fast Predictive Multimodal Image Registration—0
Fast Predictive Image Registration—0
High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network—0
High-Resolution Hyperspectral Video Imaging Using A Hexagonal Camera Array—0
Fast Mesh-Based Medical Image Registration—0
Fast Learning-based Registration of Sparse 3D Clinical Images—0
CID: Combined Image Denoising in Spatial and Frequency Domains Using Web Images—0
Fast L^2 optimal mass transport via reduced basis methods for the Monge-Amp ere equation—0
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation—0
Cascaded Feature Warping Network for Unsupervised Medical Image Registration—0
F3RNet: Full-Resolution Residual Registration Network for Deformable Image Registration—0
H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration—0
Deep Learning based Direct Segmentation Assisted by Deformable Image Registration for Cone-Beam CT based Auto-Segmentation for Adaptive Radiotherapy—0
HyperMorph: Amortized Hyperparameter Learning for Image Registration—0
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning—0
i3PosNet: Instrument Pose Estimation from X-Ray in temporal bone surgery—0
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph—0
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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