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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 676–700 of 953 papers

TitleStatusHype
Introduction to Medical Image Registration with DeepReg, Between Old and New—0
Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD—0
Joint cortical registration of geometry and function using semi-supervised learning—0
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer—0
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans—0
Large Scale Unsupervised Brain MRI Image Registration Solution for Learn2Reg 2024—0
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration—0
LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration—0
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning—0
Learnable Exposure Fusion for Dynamic Scenes—0
Learning a Model-Driven Variational Network for Deformable Image Registration—0
Learning an airway atlas from lung CT using semantic inter-patient deformable registration—0
Learning-Based Image Registration With Meta-Regularization—0
Learning Deep Similarity Metric for 3D MR-TRUS Registration—0
Learning Expected Appearances for Intraoperative Registration during Neurosurgery—0
Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data—0
SynthMorph: learning contrast-invariant registration without acquired images—0
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence—0
Learning Probabilistic Coordinate Fields for Robust Correspondences—0
Learning the Effect of Registration Hyperparameters with HyperMorph—0
Learning the Update Operator for 2D/3D Image Registration—0
Learning to Solve Optimization Problems with Hard Linear Constraints—0
LEDA: Log-Euclidean Diffeomorphic Autoencoder for Efficient Statistical Analysis of Diffeomorphism—0
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection—0
LLaMA-Reg: Using LLaMA 2 for Unsupervised 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