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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 626–650 of 953 papers

TitleStatusHype
2D/3D Megavoltage Image Registration Using Convolutional Neural Networks—0
2D Reconstruction of Small Intestine's Interior Wall—0
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning—0
3D Inception-Based TransMorph: Pre- and Post-operative Multi-contrast MRI Registration in Brain Tumors—0
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images—0
A Bimodal Co-Sparse Analysis Model for Image Processing—0
A Bi-variant Variational Model for Diffeomorphic Image Registration with Relaxed Jacobian Determinant Constraints—0
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies—0
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint—0
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching—0
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data—0
A Comparative Study for Non-rigid Image Registration and Rigid Image Registration—0
A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution—0
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration—0
A Counterexample in Cross-Correlation Template Matching—0
A Counterexample in Image Registration—0
ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology—0
ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion—0
Adaptive Image Registration: A Hybrid Approach Integrating Deep Learning and Optimization Functions for Enhanced Precision—0
Adaptive local boundary conditions to improve Deformable Image Registration—0
A Deep-Discrete Learning Framework for Spherical Surface Registration—0
A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images—0
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration—0
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies—0
A Deep Registration Method for Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis—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