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 426–450 of 953 papers

TitleStatusHype
Gaussian Primitives for Deformable Image Registration—0
General Purpose Image Encoder DINOv2 for Medical Image Registration—0
Adversarial Image Registration with Application for MR and TRUS Image Fusion—0
Flexible Bayesian Modelling for Nonlinear Image Registration—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration—0
Generative Adversarial Networks for MR-CT Deformable Image Registration—0
First Order Locally Orderless Registration—0
Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction—0
Classifier-guided registration of coronary CT angiography and intravascular ultrasound—0
Geolocation of an aircraft using image registration coupling modes for autonomous navigation—0
FIRE: Unsupervised bi-directional inter-modality registration using deep networks—0
Classic versus deep learning approaches to address computer vision challenges—0
GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration—0
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration—0
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Feature-Area Optimization: A Novel SAR Image Registration Method—0
CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications—0
An Average of the Human Ear Canal: Recovering Acoustical Properties via Shape Analysis—0
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data—0
FDRN: A Fast Deformable Registration Network for Medical Images—0
Grid-Reg: Grid-Based SAR and Optical Image Registration Across Platforms—0
Fast Predictive Simple Geodesic Regression—0
cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration—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