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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 701–725 of 953 papers

TitleStatusHype
Local image registration a comparison for bilateral registration mammography—0
Localization: A Missing Link in the Pipeline of Object Matching and Registration—0
Locally Non-rigid Registration for Mobile HDR Photography—0
Locally Normalized Gradient Fields for Multi-Modal Groupwise Image Registration—0
Local Structure Matching Driven by Joint-Saliency-Structure Adaptive Kernel Regression—0
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination—0
Longitudinal Volumetric Study for the Progression of Alzheimer's Disease from Structural MRI—0
Long-range medical image registration through generalized mutual information (GMI): toward a fully automatic volumetric alignment—0
Low-rank based motion correction followed by automatic frame selection in DT-CMR—0
Low Rank Groupwise Deformations for Motion Tracking in Cardiac Cine MRI—0
MAD: Modality Agnostic Distance Measure for Image Registration—0
MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration—0
MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps—0
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography—0
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training—0
Matching of Images with Rotation Transformation Based on the Virtual Electromagnetic Interaction—0
Matching Pixels Using Co-Occurrence Statistics—0
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision—0
Measuring breathing induced oesophageal motion and its dosimetric impact—0
Medical Image Generation using Generative Adversarial Networks—0
Medical Image Registration and Its Application in Retinal Images: A Review—0
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review—0
Medical image registration using unsupervised deep neural network: A scoping literature review—0
MEMO: Dataset and Methods for Robust Multimodal Retinal Image Registration with Large or Small Vessel Density Differences—0
Meta-Learning Initializations for Interactive 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