Medical Image Registration
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Benchmarks
Most implemented
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
Recursive Cascaded Networks for Unsupervised Medical Image Registration
RIPE++: Reinforced Keypoint Learning from Positive Pairs Only
$\texttt{GradICON}$: Approximate Diffeomorphisms via Gradient Inverse Consistency
Networks for Joint Affine and Non-parametric Image Registration
Papers
RIPE++: Reinforced Keypoint Learning from Positive Pairs Only
Sparse keypoint extraction and matching underpin core tasks in geometric computer vision, including structure-from-motion, visual SLAM, augmented reality, and medical image registration. Learning robust local feature rep…
Medical Image RegistrationRepresentation LearningReinforcement LearningThe Right Prior for the Right Deformation: Rethinking Continuous Deformable Image Registration
Deformable image registration models implicitly encode deformation priors through their parametrization and optimization. In this work, we conduct a validation study on continuous registration methods to examine how thes…
Medical Image RegistrationDrivenMorph: Bridging Attention Mechanism and Variational Image Registration via Difference Modeling
Medical image registration benefits significantly from deep learning, yet existing approaches often lack physical explainability and fine-grained deformation control. Motivated by Demons algorithms, we propose a novel Dr…
Medical Image RegistrationSpikeReg: Energy-Efficient 3D Deformable Medical Image Registration with Spiking Neural Networks
Deformable medical image registration aligns anatomical structures across images but remains computationally dense at 3D resolution. Spiking neural networks (SNNs) offer sparse event-driven computation, yet have not been…
Medical Image RegistrationSearch-MIND: Training-Free Multi-Modal Medical Image Registration
Multi-modal image registration plays a critical role in precision medicine but faces challenges from non-linear intensity relationships and local optima. While deep learning models enable rapid inference, they often suff…
Medical Image RegistrationCoRe: Joint Optimization with Contrastive Learning for Medical Image Registration
Medical image registration is a fundamental task in medical image analysis, enabling the alignment of images from different modalities or time points. However, intensity inconsistencies and nonlinear tissue deformations …
Medical Image RegistrationRepresentation LearningContrastive Learning