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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
Comparative study of image registration techniques for bladder video-endoscopy—0
Computer-Aided Design of Personalized Occlusal Positioning Splints Using Multimodal 3D Data—0
Computing Topology Preservation of RBF Transformations for Landmark-Based Image Registration—0
Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization—0
Conditional Segmentation in Lieu of Image Registration—0
ConKeD++ -- Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses—0
ConKeD: Multiview contrastive descriptor learning for keypoint-based retinal image registration—0
Constrained H^1-regularization schemes for diffeomorphic image registration—0
Constrained Mass Optimal Transport—0
CNN-based Lung CT Registration with Multiple Anatomical Constraints—0
Construction of extended 3D field of views of the internal bladder wall surface: a proof of concept—0
Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods—0
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration—0
Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping—0
Convolutional Neural Networks vs. Deformable Image Registration For Medical Slice Interpolation—0
COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Correcting Multi-focus Images via Simple Standard Deviation for Image Fusion—0
CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph—0
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks—0
CS591 Report: Application of siamesa network in 2D transformation—0
CT Image Registration in Acute Stroke Monitoring—0
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration—0
DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration—0
DD_RoTIR: Dual-Domain Image Registration via Image Translation and Hierarchical Feature-matching—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