Unsupervised Learning for Image Registration

image registration related books, papers, videos, and toolboxes

Medical image registration using deep learning

Multi-lingual medical image registration library

An image registration method using convolutional neural network features.

Image registration laboratory for 2D and 3D image data

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Vision Transformer for 3D medical image registration (Pytorch).

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

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

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

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

Predictive Image Registration

Flexible Algorithms for Image Registration

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

Image-and-Spatial Transformer Networks

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

Modular Tracking Framework

BIRL: Benchmark on Image Registration methods with Landmark validations

Official SuperElastix repository