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 126–150 of 953 papers

TitleStatusHype
UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image RegistrationCode1
Conditional Deformable Image Registration with Convolutional Neural NetworkCode1
DAGrid: Directed Accumulator GridCode1
CartiMorph: a framework for automated knee articular cartilage morphometricsCode1
ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and PrintsCode1
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shiftsCode1
Continual atlas-based segmentation of prostate MRICode1
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance ImagesCode1
Cross-modal Attention for MRI and Ultrasound Volume RegistrationCode1
Attention-aware non-rigid image registration for accelerated MR imagingCode1
Decoder-Only Image RegistrationCode1
Deep HDR Imaging via A Non-Local NetworkCode1
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image RegistrationCode1
Deep learning based geometric registration for medical images: How accurate can we get without visual features?Code1
Deep learning based registration using spatial gradients and noisy segmentation labelsCode1
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed PriorCode1
Mamba? Catch The Hype Or Rethink What Really Helps for Image RegistrationCode1
SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registrationCode1
AutoFuse: Automatic Fusion Networks for Deformable Medical Image RegistrationCode1
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image RegistrationCode1
A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration.Code1
DISA: DIfferentiable Similarity Approximation for Universal Multimodal RegistrationCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisationCode1
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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