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k-Space Deep Learning for Accelerated MRI
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Project README
Paper
k-Space Deep Learning for Accelerated MRI
Accepted by IEEE Transactions on Medical Imaging: [https://arxiv.org/abs/1805.03779]
Implementation
MatConvNet (matconvnet-1.0-beta24)
Please run the matconvnet-1.0-beta24/matlab/vl_compilenn.m file to compile matconvnet.
There is instruction on "http://www.vlfeat.org/matconvnet/mfiles/vl_compilenn/"
k-Space Deep Learning (matconvnet-1.0-beta24/examples/k-space-deep-learning)
Please run the matconvnet-1.0-beta24/examples/k-space-deep-learning/install.m
Install the customized library
Download the trained networks such as image-domain learning, and k-space deep learning
Trained network
Trained network for 'image-domain learing for 1 coil and 8 coils on Cartesian trajectory' is uploaded.
Trained network for 'k-space deep learning for 1 coil and 8 coils on Cartesian trajectory' is uploaded.
Test data
Iillustate the Fig. 6, 7, and 9 for k-Space Deep Learning fro Accelerated MRI
MR images from 'http://mridata.org/' are uploaded to train and test.
Open Source Agenda is not affiliated with "K Space Deep Learning" Project. README Source:
hanyoseob/k-space-deep-learning
Stars
31
Open Issues
1
Last Commit
4 years ago
Repository
hanyoseob/k-space-deep-learning
Homepage
https://github.com/hanyoseob/k-space-deep-learning
Tags
Convolutional Neural Networks
Deep Learning
Deep Neural Networks
Kspace Deep Learning
Matconvnet
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