SOTAVerified

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 726–750 of 953 papers

TitleStatusHype
Whole-Sample Mapping of Cancerous and Benign Tissue Properties—0
Deformable Registration Using Average Geometric Transformations for Brain MR Images—0
Image-and-Spatial Transformer Networks for Structure-Guided Image RegistrationCode0
Evaluation of Distance Measures for Feature based Image Registration using AlexNet—0
FIRE: Unsupervised bi-directional inter-modality registration using deep networks—0
One Shot Learning for Deformable Medical Image Registration and Periodic Motion TrackingCode0
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering—0
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration—0
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN—0
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation—0
Conditional Segmentation in Lieu of Image Registration—0
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration NetworksCode0
Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy—0
Dense Deformation Network for High Resolution Tissue Cleared Image Registration—0
Recurrent Registration Neural Networks for Deformable Image RegistrationCode0
Region-specific Diffeomorphic Metric MappingCode0
Quantitative Error Prediction of Medical Image Registration using Regression ForestsCode0
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation—0
Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge—0
Metric Learning for Image RegistrationCode0
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and SegmentationCode0
Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm—0
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model—0
Palmprint image registration using convolutional neural networks and Hough transform—0
Robust, fast and accurate: a 3-step method for automatic histological 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