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 1–25 of 953 papers

TitleStatusHype
cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration—0
fastWDM3D: Fast and Accurate 3D Healthy Tissue InpaintingCode0
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?Code1
From Motion to Meaning: Biomechanics-Informed Neural Network for Explainable Cardiovascular Disease Identification—0
Grid-Reg: Grid-Based SAR and Optical Image Registration Across Platforms—0
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network—0
VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT RegistrationCode0
A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images—0
Unsupervised Deformable Image Registration with Structural Nonparametric SmoothingCode0
RealKeyMorph: Keypoints in Real-world Coordinates for Resolution-agnostic Image Registration—0
Geometry Reduced Order Modeling (GROM) with application to modeling of glymphatic functionCode0
CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal BrainCode0
Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction—0
Implicit Deformable Medical Image Registration with Learnable Kernels—0
MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation—0
Beyond the LUMIR challenge: The pathway to foundational registration modelsCode1
Pretraining Deformable Image Registration Networks with Random ImagesCode0
A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization—0
Collaborative Learning for Unsupervised Multimodal Remote Sensing Image Registration: Integrating Self-Supervision and MIM-Guided Diffusion-Based Image Translation—0
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks—0
To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building ModelsCode0
Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis—0
Tracking the Flight: Exploring a Computational Framework for Analyzing Escape Responses in Plains Zebra (Equus quagga)Code0
Deep mineralogical segmentation of thin section images based on QEMSCAN mapsCode0
IMITATE: Image Registration with Context for unknown time frame recoveryCode0
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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