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 581–590 of 953 papers

Title	Date	Tasks	Status
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors	Jul 30, 2019	Image Registration	—Unverified
Synthetic Generation of Three-Dimensional Cancer Cell Models from Histopathological Images	Jan 26, 2021	DecoderImage Registration	—Unverified
SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy	Feb 24, 2025	BenchmarkingImage Generation	—Unverified
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings	May 27, 2020	Image RegistrationMedical Image Registration	—Unverified
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction	Feb 14, 2024	Cardiac SegmentationGenerative Adversarial Network	—Unverified
Template Matching Advances and Applications in Image Analysis	Oct 23, 2016	Decision MakingImage Registration	—Unverified
Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis	May 22, 2025	Image Registration	—Unverified
Test-Time Training for Deformable Multi-Scale Image Registration	Mar 25, 2021	Image RegistrationImage Segmentation	—Unverified
Tetrahedron-Net for Medical Image Registration	May 7, 2025	DecoderImage Registration	—Unverified
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques	Nov 2, 2017	BIG-bench Machine LearningGeneral Classification	—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