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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 876–900 of 953 papers

TitleStatusHype
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration—0
Evaluation of Alignment-Regularity Characteristics in Deformable Image Registration—0
Evaluation of Distance Measures for Feature based Image Registration using AlexNet—0
Evaluation of image registration for measuring deformation fields in soft tissue mechanics—0
Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge—0
Evaluation of Scan-Line Optimization for 3D Medical Image Registration—0
Explainable unsupervised multi-modal image registration using deep networks—0
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation—0
Deep Learning based Direct Segmentation Assisted by Deformable Image Registration for Cone-Beam CT based Auto-Segmentation for Adaptive Radiotherapy—0
F3RNet: Full-Resolution Residual Registration Network for Deformable Image Registration—0
Fast L^2 optimal mass transport via reduced basis methods for the Monge-Amp ere equation—0
Fast Learning-based Registration of Sparse 3D Clinical Images—0
Fast Mesh-Based Medical Image Registration—0
Fast Predictive Image Registration—0
Fast Predictive Multimodal Image Registration—0
Fast Predictive Simple Geodesic Regression—0
FDRN: A Fast Deformable Registration Network for Medical Images—0
Feature-Area Optimization: A Novel SAR Image Registration Method—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration—0
FIRE: Unsupervised bi-directional inter-modality registration using deep networks—0
First Order Locally Orderless Registration—0
Flexible Bayesian Modelling for Nonlinear Image Registration—0
FPGA Hardware Acceleration for Feature-Based Relative Navigation Applications—0
Fractional Calculus In Image Processing: A Review—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