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

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Showing 51–100 of 198 papers

TitleStatusHype
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image RegistrationCode1
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021Code1
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography ImagesCode1
TransMorph: Transformer for unsupervised medical image registrationCode1
SAME: Deformable Image Registration based on Self-supervised Anatomical EmbeddingsCode1
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT ScansCode1
Generative Adversarial Registration for Improved Conditional Deformable TemplatesCode1
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image RegistrationCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical FlowCode1
DeepReg: a deep learning toolkit for medical image registrationCode1
DeepFLASH: An Efficient Network for Learning-based Medical Image RegistrationCode1
VoxelMorph: A Learning Framework for Deformable Medical Image RegistrationCode1
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network—0
Implicit Deformable Medical Image Registration with Learnable Kernels—0
Pretraining Deformable Image Registration Networks with Random ImagesCode0
Improving Generalization of Medical Image Registration Foundation ModelCode0
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration—0
Tetrahedron-Net for Medical Image Registration—0
NCF: Neural Correspondence Field for Medical Image Registration—0
Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance AttentionCode0
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review—0
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration—0
NCA-Morph: Medical Image Registration with Neural Cellular AutomataCode0
GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration—0
SAMReg: SAM-enabled Image Registration with ROI-based Correspondence—0
NestedMorph: Enhancing Deformable Medical Image Registration with Nested Attention MechanismsCode0
Dual-Attention Frequency Fusion at Multi-Scale for Joint Segmentation and Deformable Medical Image Registration—0
Unsupervised Multimodal 3D Medical Image Registration with Multilevel Correlation Balanced OptimizationCode0
H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration—0
Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data—0
General Vision Encoder Features as Guidance in Medical Image RegistrationCode0
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image RegistrationCode0
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual LearningCode0
Recurrent Inference Machine for Medical Image Registration—0
A lightweight residual network for unsupervised deformable image registration—0
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration—0
CARL: A Framework for Equivariant Image RegistrationCode0
MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large DeformationsCode0
ConKeD++ -- Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses—0
Medical Image Registration and Its Application in Retinal Images: A Review—0
EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image RegistrationCode0
HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image RegistrationCode0
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration—0
Quantifying the Resolution of a Template after Image RegistrationCode0
General Purpose Image Encoder DINOv2 for Medical Image Registration—0
Semi-weakly-supervised neural network training for medical image registration—0
Deformable Image Registration with Stochastically Regularized Biomechanical Equilibrium—0
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration—0
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration—0
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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
3TransMorphDSC0.82—Unverified
4OFG + TransMorphDSC0.82—Unverified
5OFG + ViT-V-NetDSC0.81—Unverified
6OFG + VoxelMorphDSC0.79—Unverified
7ViT-V-NetDSC0.79—Unverified
8VoxelMorphDSC0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelMorphDice Score76.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MambaMorphDice (Average)82.71—Unverified