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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 801–825 of 953 papers

TitleStatusHype
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow—0
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease—0
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images—0
Deep Convolutional Neural Network for Non-rigid Image Registration—0
Deep Graphical Feature Learning for the Feature Matching Problem—0
Deep Group-wise Variational Diffeomorphic Image Registration—0
Deep Information Theoretic Registration—0
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification—0
Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer—0
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma—0
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity—0
Deep Learning-Based UAV Aerial Triangulation without Image Control Points—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Deep Learning for Medical Image Registration: A Comprehensive Review—0
Deep Learning for Regularization Prediction in Diffeomorphic Image Registration—0
Deep learning in medical image registration: introduction and survey—0
Deep Learning in Medical Image Registration: A Survey—0
Deep Learning in Medical Image Registration: A Review—0
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration—0
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images—0
Deep Sparse Representation for Robust Image Registration—0
DeepSTAPLE: Learning to predict multimodal registration quality for unsupervised domain adaptation—0
Deep Surface Light Fields—0
Deformable Cross-Attention Transformer for Medical Image Registration—0
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment—0
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All datasetsUnpaired-abdomen-CTFIREUnpaired-lung-CTOsteoarthritis InitiativeDIR-LAB COPDgene

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