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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 626–650 of 953 papers

TitleStatusHype
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination—0
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements MatchingCode1
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies—0
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks—0
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration—0
Do ideas have shape? Idea registration as the continuous limit of artificial neural networksCode0
Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework—0
Multimodality Biomedical Image Registration using Free Point Transformer Networks—0
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint—0
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images—0
Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image RegistrationCode0
Gaussian kernel smoothing—0
Accelerating Translational Image Registration for HDR Images on GPUCode1
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
Anatomical Data Augmentation via Fluid-based Image RegistrationCode1
Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes—0
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid NetworksCode1
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimationCode1
Self-Supervised Discovery of Anatomical Shape Landmarks—0
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRICode1
Flexible Bayesian Modelling for Nonlinear Image Registration—0
GoodPoint: unsupervised learning of keypoint detection and descriptionCode1
Spatiotemporal motion prediction in free-breathing liver scans via a recurrent multi-scale encoder decoder—0
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies—0
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings—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