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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 551–575 of 953 papers

TitleStatusHype
A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution—0
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients—0
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model—0
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning—0
Embedding Gradient-based Optimization in Image Registration NetworksCode0
Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraint—0
Fast L^2 optimal mass transport via reduced basis methods for the Monge-Amp ere equation—0
Regularized directional representations for medical image registration—0
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration—0
Deformable image registration with deep network priors: a study on longitudinal PET images—0
Learning an airway atlas from lung CT using semantic inter-patient deformable registration—0
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape DescriptorCode0
A Structure Feature Algorithm for Multi-modal Forearm Registration—0
Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAMCode0
Homography-based Visual Servoing with Remote Center of Motion for Semi-autonomous Robotic Endoscope ManipulationCode0
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte CarloCode0
A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry applied to Imaging—0
Closed-loop Feedback Registration for Consecutive Images of Moving Flexible Targets—0
A unifying framework for n-dimensional quasi-conformal mappings—0
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration—0
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator—0
Real-time multimodal image registration with partial intraoperative point-set data—0
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Burst Imaging for Light-Constrained Structure-From-Motion—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