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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 51–75 of 953 papers

TitleStatusHype
New multimodal similarity measure for image registration via modeling local functional dependence with linear combination of learned basis functionsCode0
NCF: Neural Correspondence Field for Medical Image 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
From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review—0
SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy—0
Triad: Vision Foundation Model for 3D Magnetic Resonance ImagingCode1
On the Logic Elements Associated with Round-Off Errors and Gaussian Blur in Image Registration: A Simple Case of Commingling—0
Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour AwarenessCode1
Vision-based Geo-Localization of Future Mars Rotorcraft in Challenging Illumination Conditions—0
MRUCT: Mixed Reality Assistance for Acupuncture Guided by Ultrasonic Computed Tomography—0
Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD—0
PoleStack: Robust Pole Estimation of Irregular Objects from Silhouette Stacking—0
Tell2Reg: Establishing spatial correspondence between images by the same language promptsCode0
MORPH-LER: Log-Euclidean Regularization for Population-Aware Image RegistrationCode0
Test Time Training for 4D Medical Image InterpolationCode0
An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain ImagesCode2
Transformation trees -- documentation of multimodal image registration—0
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA—0
Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths—0
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment—0
TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis—0
A Vessel Bifurcation Landmark Pair Dataset for Abdominal CT Deformable Image Registration (DIR) ValidationCode0
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training—0
Improved joint modelling of breast cancer radiomics features and hazard by image registration aided longitudinal CT data—0
COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database—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