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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 776–800 of 953 papers

TitleStatusHype
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data—0
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume ImagesCode0
Deep Surface Light Fields—0
A Gentle Introduction to Deep Learning in Medical Image Processing—0
Benchmarking of image registration methods for differently stained histological slidesCode0
A Novel Domain Adaptation Framework for Medical Image Segmentation—0
AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks—0
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration—0
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration—0
Linear and Deformable Image Registration with 3D Convolutional Neural NetworksCode0
Inverse-Consistent Deep Networks for Unsupervised Deformable Image RegistrationCode0
Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration—0
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains—0
Fast and Robust Matching for Multimodal Remote Sensing Image Registration—0
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registrationCode0
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms—0
Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial InformationCode0
An Algorithm for Learning Shape and Appearance Models without Annotations—0
Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting—0
Generative Adversarial Networks for MR-CT Deformable Image Registration—0
Repeatability of Multiparametric Prostate MRI Radiomics FeaturesCode0
Performance of Image Registration Tools on High-Resolution 3D Brain Images—0
Signals as Parametric Curves: Application to Independent Component Analysis and Blind Source Separation—0
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration—0
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration—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