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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 76–100 of 953 papers

TitleStatusHype
Rephotography in the Digital Era: Mass Rephotography and re.photos, the Web Portal for Rephotography—0
Cross-Rejective Open-Set SAR Image RegistrationCode0
Gromov-Wasserstein Problem with Cyclic Symmetry—0
Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint—0
Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance AttentionCode0
Unsupervised learning of spatially varying regularization for diffeomorphic image registration—0
Classifier-guided registration of coronary CT angiography and intravascular ultrasound—0
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review—0
LEDA: Log-Euclidean Diffeomorphic Autoencoder for Efficient Statistical Analysis of Diffeomorphism—0
MUSTER: Longitudinal Deformable Registration by Composition of Consecutive DeformationsCode0
Image registration is a geometric deep learning task—0
On Round-Off Errors and Gaussian Blur in Superresolution and in Image Registration—0
Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields—0
CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based RegularizationCode0
Improving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation—0
Oriented histogram-based vector field embedding for characterizing 4D CT data sets in radiotherapy—0
ZeroGS: Training 3D Gaussian Splatting from Unposed Images—0
LDM-Morph: Latent diffusion model guided deformable image registrationCode1
Automatic brain tumor segmentation in 2D intra-operative ultrasound images using MRI tumor annotationsCode0
Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry—0
Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution—0
Uncertainty-Aware Test-Time Adaptation for Inverse Consistent Diffeomorphic Lung Image Registration—0
XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image RegistrationCode1
Graph Neural Networks for modelling breast biomechanical compressionCode0
NeuReg: Domain-invariant 3D Image Registration on Human and Mouse Brains—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