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

Showing 151198 of 198 papers

TitleStatusHype
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration0
Deformable Image Registration with Stochastically Regularized Biomechanical Equilibrium0
Region Specific Optimization (RSO)-based Deep Interactive Registration0
Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration0
Regularized directional representations for medical image registration0
Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data0
Deformable Cross-Attention Transformer for Medical Image Registration0
A Meta-Learning Approach for Medical Image Registration0
Deep Learning in Medical Image Registration: A Review0
Deep Learning in Medical Image Registration: A Survey0
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning0
Deep learning in medical image registration: introduction and survey0
Deep Learning for Medical Image Registration: A Comprehensive Review0
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images0
A lightweight residual network for unsupervised deformable image registration0
Semi-weakly-supervised neural network training for medical image registration0
InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration0
Slice-to-volume medical image registration: a survey0
ConKeD++ -- Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses0
Cascaded Feature Warping Network for Unsupervised Medical Image Registration0
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings0
Tetrahedron-Net for Medical Image Registration0
A unifying framework for n-dimensional quasi-conformal mappings0
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration0
Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction0
GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration0
General Purpose Image Encoder DINOv2 for Medical Image Registration0
Hessian-based Similarity Metric for Multimodal Medical Image Registration0
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration0
HNAS-reg: hierarchical neural architecture search for deformable medical image registration0
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation0
H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration0
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients0
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review0
Implicit Deformable Medical Image Registration with Learnable Kernels0
A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration0
INR-LDDMM: Fluid-based Medical Image Registration Integrating Implicit Neural Representation and Large Deformation Diffeomorphic Metric Mapping0
Introduction to Medical Image Registration with DeepReg, Between Old and New0
A Transformer-based Network for Deformable Medical Image Registration0
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer0
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration0
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration0
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning0
Learning a Probabilistic Model for Diffeomorphic Registration0
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond0
Uncertainty driven probabilistic voxel selection for image registration0
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration0
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Benchmark Results

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