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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 426–450 of 953 papers

TitleStatusHype
A General Framework for Partial to Full Image Registration—0
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration—0
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapyCode0
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image RegistrationCode1
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shiftsCode1
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration—0
SearchMorph:Multi-scale Correlation Iterative Network for Deformable Registration—0
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative LearningCode1
Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network—0
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms—0
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross AttentionCode1
GradICON: Approximate Diffeomorphisms via Gradient Inverse ConsistencyCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed PriorCode1
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI ScansCode1
Deep Learning based Direct Segmentation Assisted by Deformable Image Registration for Cone-Beam CT based Auto-Segmentation for Adaptive Radiotherapy—0
Medical Image Registration via Neural Fields—0
Constrained Mass Optimal Transport—0
Recursive Deformable Image Registration Network with Mutual Attention—0
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices—0
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry—0
Privacy Preserving Image RegistrationCode0
ReDFeat: Recoupling Detection and Description for Multimodal Feature Learning—0
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise RegistrationCode0
Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation—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