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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 501–525 of 953 papers

TitleStatusHype
Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis—0
RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion—0
RFVTM: A Recovery and Filtering Vertex Trichotomy Matching for Remote Sensing Image Registration—0
RGB-Topography and X-rays Image Registration for Idiopathic Scoliosis Children Patient Follow-up—0
Robust, fast and accurate: a 3-step method for automatic histological image registration—0
Robust Flower Cluster Matching Using The Unscented Transform—0
Robust registration of medical images in the presence of spatially-varying noise—0
Robust Image Registration with Absent Correspondences in Pre-operative and Follow-up Brain MRI Scans of Diffuse Glioma Patients—0
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning—0
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity—0
RoTIR: Rotation-Equivariant Network and Transformers for Fish Scale Image Registration—0
RS-MOCO: A deep learning-based topology-preserving image registration method for cardiac T1 mapping—0
SAMReg: SAM-enabled Image Registration with ROI-based Correspondence—0
SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration—0
Scale Selection of Adaptive Kernel Regression by Joint Saliency Map for Nonrigid Image Registration—0
Scanning diffraction imaging without stable illumination and scan position information—0
Scene recognition based on DNN and game theory with its applications in human-robot interaction—0
SceneSqueezer: Learning To Compress Scene for Camera Relocalization—0
SearchMorph:Multi-scale Correlation Iterative Network for Deformable Registration—0
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy—0
Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network—0
Self-Supervised Discovery of Anatomical Shape Landmarks—0
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator—0
Semi-Supervised Deep Metrics for Image Registration—0
Semi-weakly-supervised neural network training for 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