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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 351–375 of 953 papers

TitleStatusHype
HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image RegistrationCode0
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration—0
Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images—0
Quantifying the Resolution of a Template after Image RegistrationCode0
General Purpose Image Encoder DINOv2 for Medical Image Registration—0
Multi-Objective Learning for Deformable Image Registration—0
Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis—0
Semi-weakly-supervised neural network training for medical image registration—0
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction—0
Diffeomorphic Measure Matching with Kernels for Generative ModelingCode0
Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction—0
A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration—0
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow—0
RoTIR: Rotation-Equivariant Network and Transformers for Fish Scale Image Registration—0
Slicer Networks—0
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images—0
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI dataCode0
ConKeD: Multiview contrastive descriptor learning for keypoint-based retinal image registration—0
Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration—0
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems—0
BusReF: Infrared-Visible images registration and fusion focus on reconstructible area using one set of features—0
Deformable Image Registration with Stochastically Regularized Biomechanical Equilibrium—0
PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches—0
A dynamic interactive learning framework for automated 3D medical image segmentation—0
Heteroscedastic Uncertainty Estimation Framework for Unsupervised 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