Medical image registration using deep learning
Documentation: https://deepregnet.github.io/
Source: https://github.com/DeepRegNet/DeepReg
Jupyter: please create your custom kernel for https://max-jhub.desy.de
Maxwell: mamba activate /software/mdlma/deepreg
Module: module load maxwell mdlma/deepreg
Description:
DeepReg is a freely available, community-supported open-source toolkit for research and education in medical image registration using deep learning.
- TensorFlow 2-based for efficient training and rapid deployment;
- Implementing major unsupervised and weakly-supervised algorithms, with their combinations and variants;
- Focusing on growing and diverse clinical applications, with all DeepReg Demos using open-accessible data;
- Simple built-in command line tools requiring minimal programming and scripting;
- Open, permissible and research-and-education-driven, under the Apache 2.0 license
Citation:
Yunguan Fu and Nina Montaña Brown and Shaheer U. Saeed and Adrià Casamitjana and Zachary M. C. Baum and Rémi Delaunay and Qianye Yang and Alexander Grimwood and Zhe Min and Stefano B. Blumberg and Juan Eugenio Iglesias and Dean C. Barratt and Ester Bonmati and Daniel C. Alexander and Matthew J. Clarkson and Tom Vercauteren and Yipeng Hu (2021),