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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 691–700 of 953 papers

Title	Date	Tasks	Status
Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data	Jul 22, 2022	Image Registration	—Unverified
SynthMorph: learning contrast-invariant registration without acquired images	Apr 21, 2020	AnatomyImage Registration	—Unverified
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence	Feb 9, 2021	Image RegistrationSegmentation	—Unverified
Learning Probabilistic Coordinate Fields for Robust Correspondences	Jun 7, 2023	Camera Pose EstimationImage Registration	—Unverified
Learning the Effect of Registration Hyperparameters with HyperMorph	Mar 30, 2022	Image Registration	—Unverified
Learning the Update Operator for 2D/3D Image Registration	Feb 4, 2021	Computational EfficiencyImage Registration	—Unverified
Learning to Solve Optimization Problems with Hard Linear Constraints	Aug 22, 2022	Decision MakingImage Registration	—Unverified
LEDA: Log-Euclidean Diffeomorphic Autoencoder for Efficient Statistical Analysis of Diffeomorphism	Dec 20, 2024	AnatomyImage Registration	—Unverified
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection	Jul 2, 2024	DiagnosticImage Registration	—Unverified
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration	May 29, 2024	DecoderImage Registration	—Unverified

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All datasets Unpaired-abdomen-CT FIRE Unpaired-lung-CT Osteoarthritis Initiative DIR-LAB COPDgene

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RAN4+	DSC	0.62	—	Unverified
2	CLIP+SVD+ViT	DSC	0.61	—	Unverified
3	CLIP+SVD+ResNet	DSC	0.6	—	Unverified
4	CLIP+ViT	DSC	0.59	—	Unverified
5	Chatgpt+SVD	DSC	0.58	—	Unverified
6	RMAn	DSC	0.55	—	Unverified
7	RAN3	DSC	0.54	—	Unverified
8	SAME++	DSC	0.49	—	Unverified
9	Dnet	DSC	0.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LKRetina	mAUC	0.76	—	Unverified
2	SuperRetina	mAUC	0.76	—	Unverified
3	REMPE, JBHI 2020	mAUC	0.72	—	Unverified
4	GLAMpoints, ICCV 2019	mAUC	0.62	—	Unverified
5	SIFT	mAUC	0.57	—	Unverified
6	PBO, ICIP 2010	mAUC	0.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Dnet	ASD	5.01	—	Unverified
2	RMAn	ASD	3.83	—	Unverified
3	RAN4+	ASD	3.8	—	Unverified
4	RAN3	ASD	3.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Region-specific Diffeomorphic Metric Mapping	Dice	68.18	—	Unverified
2	vSVF-net [shen2019networks]	Dice	67.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Recursive Refinement Network	landmarks	0.83	—	Unverified