A collection of resources on applications of Transformers in Medical Imaging.
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Updated
Apr 18, 2024
A collection of resources on applications of Transformers in Medical Imaging.
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration
Medical Image Analysis Lab (MIALab), University of Bern
Medical image registration using deep learning
Medical Image Registration
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"
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
Code used to create the DeepHistReg submission to the ANHIR challenge.
Fully unsupervised 2D/3D image registration with ConvNet.
Code for paper: MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation (MICCAI 2020)
Joint Vessel Segmentation and Deformable Registration on Multi-Modal Retinal Images based on Style Transfer
Efficient dense deformable image registration
TensorFlow implementation of the diffeomorphic demons algorithm for medical image registration
DeDA: Differentiable Image Integration Library
Projects that I was part of during my Master's study in Medical Imaging and Applications Erasmus program (MAIA) between 2017-2019.
The official website for uniGradICON: A Foundation Model for Medical Image Registration
[MICCAI 24'] On-the-Fly Guidance Training for Medical Image Registration. Pre-print available in link below.
This repository applies the affine and deformation transformation on the CT scan in the subject space, and register it to the MNI 1mm space
Affine medical image registration using deep learning
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