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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 176–200 of 953 papers

TitleStatusHype
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual LearningCode0
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss—0
Low-rank based motion correction followed by automatic frame selection in DT-CMR—0
Recurrent Inference Machine for Medical Image Registration—0
Encoding Matching Criteria for Cross-domain Deformable Image RegistrationCode0
Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction NetworkCode0
A lightweight residual network for unsupervised deformable image registration—0
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image RegistrationCode1
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models—0
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention NetworksCode0
Gaussian Primitives for Deformable Image Registration—0
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image RegistrationCode2
Predicting ptychography probe positions using single-shot phase retrieval neural networkCode0
Towards RGB-NIR Cross-modality Image Registration and Beyond—0
Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup RegularizationCode1
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration—0
A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration.Code1
CARL: A Framework for Equivariant Image RegistrationCode0
Single color digital H&E staining with In-and-Out Net—0
Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy—0
On Image Registration and Subpixel Estimation—0
Adaptive local boundary conditions to improve Deformable Image Registration—0
Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learningCode0
One registration is worth two segmentations—0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
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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