Skip to content

IAMLAB-Ryerson/FlowReg

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 

Repository files navigation

FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow

FlowReg is a deep-learning based medical image registration framework. The framework is divided in 3D affine component (FlowReg-A) and a 2D fine-tuning network using optical flow (FlowReg-O).

Usage

Please visit FlowReg-A and FlowReg-O for the corresponding usage cases.

Citation

If you use any portion of our work, please cite our paper.

S. Mocanu, A. Moody, and A. Khademi, “FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow,” 
Machine Learning for Biomedical Imaging, pp. 1–40, Sep. 2021.

Available at: https://www.melba-journal.org/article/27657-flowreg-fast-deformable-unsupervised-medical-image-registration-using-optical-flow

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages