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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 751–775 of 953 papers

TitleStatusHype
Multimodal MRI Neuroimaging with Motion Compensation Based on Particle Filtering—0
Multimodal Optimization by Sparkling Squid Populations—0
Multimodal Remote Sensing Image Registration with Accuracy Estimation at Local and Global Scales—0
Multimodal Remote Sensing Image Registration Based on Adaptive Multi-scale PIIFD—0
Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network—0
Multi-modal unsupervised brain image registration using edge maps—0
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA—0
Multi-Objective Dual Simplex-Mesh Based Deformable Image Registration for 3D Medical Images -- Proof of Concept—0
Multi-Objective Learning for Deformable Image Registration—0
Multiresolution Search of the Rigid Motion Space for Intensity Based Registration—0
Multi-scale Neural ODEs for 3D Medical Image Registration—0
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation—0
Multi-Temporal Aerial Image Registration Using Semantic Features—0
Mutual information neural estimation for unsupervised multi-modal registration of brain images—0
KLDivNet: An unsupervised neural network for multi-modality image registration—0
NCF: Neural Correspondence Field for Medical Image Registration—0
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration—0
Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction—0
Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields—0
Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization—0
NeuReg: Domain-invariant 3D Image Registration on Human and Mouse Brains—0
nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection—0
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests—0
Non-parametric Uncertainty Assessment in Deep-Learning Based Affine Image Registration—0
HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image RegistrationCode0
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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