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

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Showing 151–175 of 953 papers

TitleStatusHype
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
MRI to CT Translation with GANsCode1
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised LearningCode1
VoxelMorph: A Learning Framework for Deformable Medical Image RegistrationCode1
cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration—0
fastWDM3D: Fast and Accurate 3D Healthy Tissue InpaintingCode0
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
VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT RegistrationCode0
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network—0
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
CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal BrainCode0
Geometry Reduced Order Modeling (GROM) with application to modeling of glymphatic functionCode0
Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction—0
Implicit Deformable Medical Image Registration with Learnable Kernels—0
A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization—0
Pretraining Deformable Image Registration Networks with Random ImagesCode0
MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation—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
Deep mineralogical segmentation of thin section images based on QEMSCAN mapsCode0
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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