Unsupervised Learning for Image Registration

Medical image registration using deep learning

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

An image registration method using convolutional neural network features.

Image registration laboratory for 2D and 3D image data

Vision Transformer for 3D medical image registration (Pytorch)

A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

Nonrigid image registration using multi-scale 3D convolutional neural networks

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method

Image-and-Spatial Transformer Networks

NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.

BIRL: Benchmark on Image Registration methods with Landmark validations

[ICLR 2025] Learning General-purpose Biomedical Volume Representations using Randomized Synthesis

Official Implementation of Deep Aerial Image Matching using PyTorch

[CVPR2024 🏆 Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration

Reinforcement learning for deformable image registration, AAAI 2022

A pytorch implementation of CNN based MRI image registration based on Christodoulidis Stergios et al. "Linear and Deformable Image Registration with 3D Convolutional Neural Networks", 2018.

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences