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 741–750 of 953 papers

Title	Date	Tasks	Status
Region-specific Diffeomorphic Metric Mapping	Jun 1, 2019	Image RegistrationMedical Image Registration	CodeCode Available
Quantitative Error Prediction of Medical Image Registration using Regression Forests	May 18, 2019	Image RegistrationMedical Image Registration	CodeCode Available
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation	Apr 25, 2019	Brain Image SegmentationBrain Segmentation	—Unverified
Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge	Apr 23, 2019	Image Registration	—Unverified
Metric Learning for Image Registration	Apr 21, 2019	Deep LearningDeformable Medical Image Registration	CodeCode Available
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation	Apr 17, 2019	Data AugmentationImage Registration	CodeCode Available
Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm	Apr 1, 2019	GPUImage Registration	—Unverified
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model	Apr 1, 2019	Image RegistrationImage Super-Resolution	—Unverified
Palmprint image registration using convolutional neural networks and Hough transform	Apr 1, 2019	Image Registration	—Unverified
Robust, fast and accurate: a 3-step method for automatic histological image registration	Mar 28, 2019	Image 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