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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 953 papers

TitleStatusHype
A Low-Dimensional Step Pattern Analysis Algorithm With Application to Multimodal Retinal Image Registration—0
A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images—0
Deformable Registration Using Average Geometric Transformations for Brain MR Images—0
Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field—0
Deformable multi-modal image registration for the correlation between optical measurements and histology images—0
Effective Image Differencing with ConvNets for Real-time Transient Hunting—0
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles—0
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks—0
A unifying framework for n-dimensional quasi-conformal mappings—0
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices—0
Efficient Post-processing of Diffusion Tensor Cardiac Magnetic Imaging Using Texture-conserving Deformable Registration—0
Efficient Rotation-Scaling-Translation Parameters Estimation Based on Fractal Image Model—0
GAN Based Medical Image Registration—0
Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis—0
Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods—0
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images—0
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network—0
Enhanced Synthetic MRI Generation from CT Scans Using CycleGAN with Feature Extraction—0
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network—0
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking—0
A Two Step Approach for Whole Slide Image Registration—0
BusReF: Infrared-Visible images registration and fusion focus on reconstructible area using one set of features—0
Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint—0
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration—0
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation—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