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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 651–675 of 953 papers

TitleStatusHype
Whole-Sample Mapping of Cancerous and Benign Tissue Properties—0
Whole slide image registration for the study of tumor heterogeneity—0
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network—0
ZeroGS: Training 3D Gaussian Splatting from Unposed Images—0
Image reconstruction through metamorphosis—0
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms—0
Image registration based automated lesion correspondence pipeline for longitudinal CT data—0
Image Registration Based Flicker Solving in Video Face Replacement and Analysis Based Sub-pixel Image Registration—0
Image Registration for the Alignment of Digitized Historical Documents—0
Image registration is a geometric deep learning task—0
Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study—0
Image Registration of Very Large Images via Genetic Programming—0
Image Registration Techniques: A Survey—0
Groupwise Image Registration with Edge-Based Loss for Low-SNR Cardiac MRI—0
Image registration with sparse approximations in parametric dictionaries—0
Impact of PCA-based preprocessing and different CNN structures on deformable registration of sonograms—0
Implicit Deformable Medical Image Registration with Learnable Kernels—0
Diffeomorphic Image Registration with Neural Velocity Field—0
Improved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras—0
Improved joint modelling of breast cancer radiomics features and hazard by image registration aided longitudinal CT data—0
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models—0
Improving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation—0
Improving Instance Optimization in Deformable Image Registration with Gradient Projection—0
Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration—0
INR-LDDMM: Fluid-based Medical Image Registration Integrating Implicit Neural Representation and Large Deformation Diffeomorphic Metric Mapping—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