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 401–425 of 953 papers

TitleStatusHype
Quasiconformal model with CNN features for large deformation image registration—0
A New Approach for Super resolution by Using Web Images and FFT Based Image Registration—0
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy—0
A Comparative Study for Non-rigid Image Registration and Rigid Image Registration—0
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning—0
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI—0
Framing image registration as a landmark detection problem for label-noise-aware task representation (HitR)—0
Fractional Calculus In Image Processing: A Review—0
An evolutionary computational based approach towards automatic image registration—0
FPGA Hardware Acceleration for Feature-Based Relative Navigation Applications—0
Closed-loop Feedback Registration for Consecutive Images of Moving Flexible Targets—0
An Elastic Image Registration Approach for Wireless Capsule Endoscope Localization—0
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks—0
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review—0
From Motion to Meaning: Biomechanics-Informed Neural Network for Explainable Cardiovascular Disease Identification—0
From Registration Uncertainty to Segmentation Uncertainty—0
Adversarial Image Registration with Application for MR and TRUS Image Fusion—0
From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review—0
Flexible Bayesian Modelling for Nonlinear Image Registration—0
Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank—0
First Order Locally Orderless Registration—0
Fully-deformable 3D image registration in two seconds—0
Fundamental Limits in Multi-image Alignment—0
Gaussian kernel smoothing—0
Classifier-guided registration of coronary CT angiography and intravascular ultrasound—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