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

(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"

The official website for uniGradICON: A Foundation Model for Medical Image Registration

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

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

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

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

Medical Image Analysis Lab (MIALab), University of Bern

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

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

Efficient dense deformable image registration

Mutual-Information Medical Image Registration: Theory and Examples

DeDA: Differentiable Image Integration Library

TensorFlow implementation of the diffeomorphic demons algorithm for medical image registration

Preprocessed IXI brain MRI dataset with subcortical segmentation