A collection of resources on applications of Transformers in Medical Imaging.

Medical image registration using deep learning

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

Medical Image Registration

[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging

This project contains command line tools to perform rigid, affine and non-linear registration of nifti or analyse images as well as utilities

uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024)

(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration, and Beyond

Fully unsupervised 2D/3D image registration with ConvNet (TensorFlow)

[MICCAI 2024] On-the-Fly Guidance Training for Medical Image Registration. Pre-print available in link below.

MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation (MICCAI 2020)

Code used to create the DeepHistReg submission to the ANHIR challenge.

Joint Vessel Segmentation and Deformable Registration on Multi-Modal Retinal Images based on Style Transfer

Medical Image Analysis Lab (MIALab), University of Bern

Efficient dense deformable image registration

Preprocessed IXI brain MRI dataset with subcortical segmentation

Mutual-Information Medical Image Registration: Theory and Examples

TensorFlow implementation of the diffeomorphic demons algorithm for medical image registration

PyTorch implementation for multivariate mixture model on cardiac segmentation from multi-source images (TPAMI 2019)