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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 801–850 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
Deformable Image Registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy—0
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy—0
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration—0
Deformable Image Registration with Stochastically Regularized Biomechanical Equilibrium—0
Deformable image registration with deep network priors: a study on longitudinal PET images—0
Deformable Image Registration with Multi-scale Feature Fusion from Shared Encoder, Auxiliary and Pyramid Decoders—0
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior—0
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network—0
Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis—0
Deformable multi-modal image registration for the correlation between optical measurements and histology images—0
Deformable Registration Using Average Geometric Transformations for Brain MR Images—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
Dense Deformation Network for High Resolution Tissue Cleared Image Registration—0
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR—0
Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture—0
Detail-preserving and Content-aware Variational Multi-view Stereo Reconstruction—0
Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit with internal disorders—0
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble—0
Development and Whole-Body Validation of Personalizable Female and Male Pedestrian SAFER Human Body Models—0
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI—0
Diffeomorphic registration with intensity transformation and missing data: Application to 3D digital pathology of Alzheimer’s disease—0
Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration—0
Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks—0
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model—0
Dilated FCN for Multi-Agent 2D/3D Medical Image 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