Unsupervised Learning for Image Registration
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Updated
Nov 27, 2024 - Python
Unsupervised Learning for Image Registration
image registration related books, papers, videos, and toolboxes
Advanced Normalization Tools (ANTs)
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
Medical image registration using deep learning
Multi-lingual medical image registration library
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.
Digital Image Correlation & Digital Volume Correlation Library
Nonrigid image registration using multi-scale 3D convolutional neural networks
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
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
A curated list of awesome resources for topics related to computational photography via deep learning, which mainly focuses on image alignment and stitching.
An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method
Flexible Algorithms for Image Registration
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