Image Registration
238 papers with code • 5 benchmarks • 12 datasets
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 )
Benchmarks
These leaderboards are used to track progress in Image Registration
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Libraries
Use these libraries to find Image Registration models and implementationsDatasets
Medical Segmentation Decathlon
LLVIP
Learn2Reg
SegTHOR
UDIS-D
FIRE
DIR-LAB COPDgene
ALTO
FetReg: Largescale Multi-centre Fetoscopy Placenta Dataset
VBR
Latest papers with no code
Unsupervised Skin Feature Tracking with Deep Neural Networks
Facial feature tracking is essential in imaging ballistocardiography for accurate heart rate estimation and enables motor degradation quantification in Parkinson's disease through skin feature tracking.
Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
By using topology-preserved deformation features extracted from the probabilistic diffeomorphic registration model, abdominal motion can be accurately obtained and utilized for DVF estimation.
Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods
Furthermore, CPT-DIR surpasses B-splines for accuracy in the sliding boundary region, lowering MAE and increasing Dice coefficients for the ribcage from 65. 65HU and 90. 41% to 42. 04HU and 90. 56%, versus 75. 40HU and 89. 30% without registration.
ConKeD++ -- Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses
In this work, we propose to test and extend and improve a state-of-the-art framework for color fundus image registration, ConKeD.
Transformer-Based Local Feature Matching for Multimodal Image Registration
Ultrasound imaging is a cost-effective and radiation-free modality for visualizing anatomical structures in real-time, making it ideal for guiding surgical interventions.
Image registration based automated lesion correspondence pipeline for longitudinal CT data
The algorithm employs a sequential two-step pipeline: (a) Firstly, an adaptive Hungarian algorithm is used to establish correspondence among lesions within a single volumetric image series which have been annotated by multiple radiologists at a specific timepoint.
A Survey on Visual Mamba
This encompasses general visual tasks, Medical visual tasks (e. g., 2D / 3D segmentation, classification, and image registration, etc.
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge
The proposed method does not require any fine-tuning to a particular dataset and can be used directly for any desired tissue type and stain.
Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis
Second, the effect on diagnosis is evaluated by comparing case-level cancer diagnosis performance between using the original dataset, rigidly aligned diffusion-weighted scans, or deformably aligned diffusion-weighted scans.
Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks
Diffeomorphic image registration is a fundamental step in medical image analysis, owing to its capability to ensure the invertibility of transformations and preservation of topology.
