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 51–75 of 953 papers

TitleStatusHype
Attention-aware non-rigid image registration for accelerated MR imagingCode1
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural NetworksCode1
Conditional Deformable Image Registration with Convolutional Neural NetworkCode1
FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical FlowCode1
DAGrid: Directed Accumulator GridCode1
Generative Adversarial Registration for Improved Conditional Deformable TemplatesCode1
Deep learning based registration using spatial gradients and noisy segmentation labelsCode1
Coordinate Translator for Learning Deformable Medical Image RegistrationCode1
Cross-Modality Image Registration using a Training-Time Privileged Third ModalityCode1
Cross-modal Attention for MRI and Ultrasound Volume RegistrationCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
GradICON: Approximate Diffeomorphisms via Gradient Inverse ConsistencyCode1
DeepReg: a deep learning toolkit for medical image registrationCode1
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image RegistrationCode1
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and RegistrationCode1
Anatomical Data Augmentation via Fluid-based Image RegistrationCode1
An Auto-Context Deformable Registration Network for Infant Brain MRICode1
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationCode1
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?Code1
Deep HDR Imaging via A Non-Local NetworkCode1
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shiftsCode1
Deep learning based geometric registration for medical images: How accurate can we get without visual features?Code1
A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration.Code1
ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and PrintsCode1
Decoder-Only Image RegistrationCode1
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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