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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
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
A Robust Method for Image Stitching—0
Registration by tracking for sequential 2D MRI—0
RGB-Topography and X-rays Image Registration for Idiopathic Scoliosis Children Patient Follow-up—0
Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation?—0
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble—0
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration—0
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review—0
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning—0
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Mover’s discrepancies—0
Discovering Salient Anatomical Landmarks by Predicting Human Gaze—0
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies—0
A Comparative Study for Non-rigid Image Registration and Rigid Image Registration—0
An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process—0
BIRL: Benchmark on Image Registration methods with Landmark validationCode0
Deep Learning in Medical Image Registration: A Review—0
Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks—0
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach—0
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction—0
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration—0
Vine disease detection in UAV multispectral images with deep learning segmentation approach—0
Generating Anthropomorphic Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural NetworksCode0
OASIS: One-pass aligned Atlas Set for Image Segmentation—0
Scene recognition based on DNN and game theory with its applications in human-robot interaction—0
Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image RegistrationCode0
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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