SOTAVerified

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

Showing 801825 of 953 papers

TitleStatusHype
Improving Generalization of Medical Image Registration Foundation ModelCode0
NPBDREG: Uncertainty Assessment in Diffeomorphic Brain MRI Registration using a Non-parametric Bayesian Deep-Learning Based ApproachCode0
Comparison of Consecutive and Re-stained Sections for Image Registration in HistopathologyCode0
Indirect Image Registration with Large Diffeomorphic DeformationsCode0
Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRICode0
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image RegistrationCode0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It SimpleCode0
VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT RegistrationCode0
Hierarchical Uncertainty Estimation for Learning-based Registration in NeuroimagingCode0
Groupwise Multimodal Image Registration using Joint Total VariationCode0
Direct deduction of chemical class from NMR spectraCode0
Inverse Consistency by Construction for Multistep Deep RegistrationCode0
Inverse-Consistent Deep Networks for Unsupervised Deformable Image RegistrationCode0
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte CarloCode0
Graph Neural Networks for modelling breast biomechanical compressionCode0
Iterative Inversion of Deformation Vector Fields with Feedback ControlCode0
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI dataCode0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataCode0
Joint Deformable Registration of Large EM Image Volumes: A Matrix Solver ApproachCode0
One Shot Learning for Deformable Medical Image Registration and Periodic Motion TrackingCode0
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR imagesCode0
Embedding Gradient-based Optimization in Image Registration NetworksCode0
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy ImagesCode0
GLAMpoints: Greedily Learned Accurate Match pointsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RAN4+DSC0.62Unverified
2CLIP+SVD+ViTDSC0.61Unverified
3CLIP+SVD+ResNetDSC0.6Unverified
4CLIP+ViTDSC0.59Unverified
5Chatgpt+SVDDSC0.58Unverified
6RMAnDSC0.55Unverified
7RAN3DSC0.54Unverified
8SAME++DSC0.49Unverified
9DnetDSC0.47Unverified
#ModelMetricClaimedVerifiedStatus
1LKRetinamAUC0.76Unverified
2SuperRetinamAUC0.76Unverified
3REMPE, JBHI 2020mAUC0.72Unverified
4GLAMpoints, ICCV 2019mAUC0.62Unverified
5SIFTmAUC0.57Unverified
6PBO, ICIP 2010mAUC0.55Unverified
#ModelMetricClaimedVerifiedStatus
1DnetASD5.01Unverified
2RMAnASD3.83Unverified
3RAN4+ASD3.8Unverified
4RAN3ASD3.01Unverified
#ModelMetricClaimedVerifiedStatus
1Region-specific Diffeomorphic Metric MappingDice68.18Unverified
2vSVF-net [shen2019networks]Dice67.59Unverified
#ModelMetricClaimedVerifiedStatus
1Recursive Refinement Networklandmarks0.83Unverified