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 101–150 of 198 papers

TitleStatusHype
Learning Physics-Inspired Regularization for Medical Image Registration with HypernetworksCode0
Hessian-based Similarity Metric for Multimodal Medical Image Registration—0
QUIZ: An Arbitrary Volumetric Point Matching Method for Medical Image RegistrationCode0
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI—0
Deep learning in medical image registration: introduction and survey—0
HNAS-reg: hierarchical neural architecture search for deformable medical image registration—0
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR—0
INR-LDDMM: Fluid-based Medical Image Registration Integrating Implicit Neural Representation and Large Deformation Diffeomorphic Metric Mapping—0
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond—0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataCode0
Inverse Consistency by Construction for Multistep Deep RegistrationCode0
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks—0
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation—0
Deformable Cross-Attention Transformer for Medical Image Registration—0
Particle Swarm Optimization in 3D Medical Image Registration: A Systematic Review—0
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image RegistrationCode0
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging DataCode0
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR imagesCode0
InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration—0
Meta-Learning Initializations for Interactive Medical 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
Medical image registration using unsupervised deep neural network: A scoping literature review—0
Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration—0
Medical Image Registration via Neural Fields—0
Deep Learning for Medical Image Registration: A Comprehensive Review—0
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation—0
Region Specific Optimization (RSO)-based Deep Interactive Registration—0
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph LatentCode0
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network—0
A Transformer-based Network for Deformable Medical Image Registration—0
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients—0
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model—0
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning—0
Regularized directional representations for medical image registration—0
A unifying framework for n-dimensional quasi-conformal mappings—0
A Deep Discontinuity-Preserving Image Registration NetworkCode0
Multi-scale Neural ODEs for 3D Medical Image Registration—0
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer—0
A Meta-Learning Approach for Medical Image Registration—0
Cascaded Feature Warping Network for Unsupervised Medical Image Registration—0
Unsupervised Medical Image Alignment with Curriculum Learning—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Long-range medical image registration through generalized mutual information (GMI): toward a fully automatic volumetric alignment—0
Registration of serial sections: An evaluation method based on distortions of the ground truthsCode0
Uncertainty driven probabilistic voxel selection for image registration—0
Multimodal Medical Image registration using Discrete Wavelet Transform and Gaussian Pyramids—0
Introduction to Medical Image Registration with DeepReg, Between Old and New—0
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images—0
Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes—0
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings—0
Show:102550
← PrevPage 3 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
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