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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 551–575 of 953 papers

TitleStatusHype
DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration—0
DSR: Direct Simultaneous Registration for Multiple 3D ImagesCode0
A low-rank representation for unsupervised registration of medical images—0
Automated quantitative analysis of first-pass myocardial perfusion magnetic resonance imaging data—0
Generative Adversarial Registration for Improved Conditional Deformable TemplatesCode1
Attention for Image Registration (AiR): an unsupervised Transformer approachCode0
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer—0
Multi-scale PIIFD for Registration of Multi-source Remote Sensing ImagesCode1
Deep Convolutional Neural Network for Non-rigid Image Registration—0
Calibrating LiDAR and Camera using Semantic Mutual information—0
A Meta-Learning Approach for Medical Image Registration—0
Semantic similarity metrics for learned image registrationCode1
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and RegistrationCode1
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image RegistrationCode1
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration AlgorithmsCode0
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity—0
Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative StudyCode1
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI—0
Test-Time Training for Deformable Multi-Scale Image Registration—0
Cascaded Feature Warping Network for Unsupervised Medical Image Registration—0
A Novel Visualization System of Using Augmented Reality in Knee Replacement Surgery: Enhanced Bidirectional Maximum Correntropy Algorithm—0
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance ImagesCode1
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual ScansCode1
Deep learning based geometric registration for medical images: How accurate can we get without visual features?Code1
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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