Published August 17, 2022
| Version 1.2.0
Dataset
Open
Deep Deep Learning With BART (Trained Weights and Example Data)
Authors/Creators
Description
This repository contains data required to reproduce the figures of the manuscript Deep, Deep Learning with BART. The corresponding scripts can be found at https://github.com/mrirecon/deep-deep-learning-with-bart.
The example data in this repository are based on the data published with the manuscripts of the Variational Network [1] and MoDL [2].
[1]: Hammernik K, Klatzer T, Kobler E, Recht MP, Sodickson DK, Pock T, Knoll F.
Learning a variational network for reconstruction of accelerated MRI data.
Magn Reson Med 2018; 79:3055-3071.
[2]: Aggarwal HK, Mani MP, Jacob M.
MoDL: Model-Based Deep Learning Architecture for Inverse Problems.
IEEE Trans Med Imaging 2019; 38:394--405.
Files
example_data.zip
Files
(476.0 MB)
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Additional details
Related works
- Is derived from
- Dataset: 10.5281/zenodo.6481291 (DOI)
- Is supplement to
- Preprint: arXiv:2202.14005 (arXiv)