SOTAVerified

Medical Image Registration

Image registration, also known as image fusion or image matching, is the process of aligning two or more images based on image appearances. Medical Image Registration seeks to find an optimal spatial transformation that best aligns the underlying anatomical structures. Medical Image Registration is used in many clinical applications such as image guidance, motion tracking, segmentation, dose accumulation, image reconstruction and so on. Medical Image Registration is a broad topic which can be grouped from various perspectives. From input image point of view, registration methods can be divided into unimodal, multimodal, interpatient, intra-patient (e.g. same- or different-day) registration. From deformation model point of view, registration methods can be divided in to rigid, affine and deformable methods. From region of interest (ROI) perspective, registration methods can be grouped according to anatomical sites such as brain, lung registration and so on. From image pair dimension perspective, registration methods can be divided into 3D to 3D, 3D to 2D and 2D to 2D/3D.

Source: Deep Learning in Medical Image Registration: A Review

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 198 papers

TitleStatusHype
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021Code1
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformationCode1
On-the-Fly Guidance Training for Medical Image RegistrationCode1
TransMorph: Transformer for unsupervised medical image registrationCode1
Decoder-Only Image RegistrationCode1
Non-rigid Medical Image Registration using Physics-informed Neural NetworksCode1
UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image RegistrationCode1
FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical FlowCode1
Fourier-Net: Fast Image Registration with Band-limited DeformationCode1
Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image RegistrationCode1
DeepFLASH: An Efficient Network for Learning-based Medical Image RegistrationCode1
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology ImagesCode1
SACB-Net: Spatial-awareness Convolutions for Medical Image RegistrationCode1
Mid-space-independent deformable image registration—0
Medical Image Registration via Neural Fields—0
Misdirected Registration Uncertainty—0
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration—0
Multimodal Medical Image registration using Discrete Wavelet Transform and Gaussian Pyramids—0
Multi-scale Neural ODEs for 3D Medical Image Registration—0
KLDivNet: An unsupervised neural network for multi-modality image registration—0
NCF: Neural Correspondence Field for Medical Image Registration—0
Zero Shot Learning for Multi-Modal Real Time Image Registration—0
ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion—0
A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration—0
A lightweight residual network for unsupervised deformable image registration—0
A Meta-Learning Approach for Medical Image Registration—0
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration—0
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration—0
Analysis of Generalized Entropies in Mutual Information Medical Image Registration—0
A Semi-Lagrangian two-level preconditioned Newton-Krylov solver for constrained diffeomorphic image registration—0
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond—0
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration—0
A Transformer-based Network for Deformable Medical Image Registration—0
A unifying framework for n-dimensional quasi-conformal mappings—0
Cascaded Feature Warping Network for Unsupervised Medical Image Registration—0
ConKeD++ -- Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses—0
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images—0
Deep Learning for Medical Image Registration: A Comprehensive Review—0
Deep learning in medical image registration: introduction and survey—0
Deep Learning in Medical Image Registration: A Survey—0
Deep Learning in Medical Image Registration: A Review—0
Deformable Cross-Attention Transformer for Medical Image Registration—0
Deformable Image Registration with Stochastically Regularized Biomechanical Equilibrium—0
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior—0
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network—0
Deformable Registration Using Average Geometric Transformations for Brain MR Images—0
Dense Deformation Network for High Resolution Tissue Cleared Image Registration—0
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR—0
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI—0
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model—0
Show:102550
← PrevPage 2 of 4Next →
All datasetsIXIOASISOASIS+ADIBE+ADHD200+MCIC+PPMI+HABS+HarvardGSPSR-Reg

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LL_NetDSC0.77—Unverified
2OFG + TransMorphDSC0.76—Unverified
3TransMorphDSC0.74—Unverified
4OFG + ViT-V-NetDSC0.74—Unverified
5OFG + VoxelMorphDSC0.74—Unverified
6EfficientMorphDSC0.73—Unverified
7ViT-V-NetDSC0.72—Unverified
8VoxelMorphDSC0.71—Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientMorphval dsc86.7—Unverified
2Fourier-Netval dsc84.7—Unverified
3OFG + TransMorphDSC0.82—Unverified
4TransMorphDSC0.82—Unverified
5OFG + ViT-V-NetDSC0.81—Unverified
6ViT-V-NetDSC0.79—Unverified
7OFG + VoxelMorphDSC0.79—Unverified
8VoxelMorphDSC0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelMorphDice Score76.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MambaMorphDice (Average)82.71—Unverified