7 research outputs found
Paper is not enough: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
Dataset provided for NeuroLibre preprint.
Author repo: https://www.github.com/rrsg2020/note
NeuroLibre fork:https://github.com/roboneurolibre/note <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/23">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org" target="NeuroLibre">https://neurolibre.org</a></strong></p>
Results of the ISMRM 2020 joint Reproducible Research & Quantitative MR study groups reproducibility challenge on phantom and human brain T1 mapping
This dataset includes both raw data and processed T1 maps obtained from the 2020 challenge on inversion recovery T1 mapping organized by the International Society in Magnetic Resonance in Medicine (ISMRM) Reproducible Research Study Group (RRSG).
For a comprehensive overview of the data distribution submitted for this challenge, please visit: https://rrsg2020.db.neurolibre.org.
It's important to note that this dataset exclusively comprises ISMRM-NIST system phantom data.
Dataset provided for NeuroLibre preprint.
Author repo: https://github.com/rrsg2020/paper
NeuroLibre fork:https://github.com/roboneurolibre/paper
For details, please visit the corresponding NeuroLibre technical screening: https://neurolibre.or
Paper is not enough: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
GitHub archive of the <a href="https://github.com/roboneurolibre/note/commit/7e005e7e02aacd1b6404f6ee8eaf978415ca7c6a"> reference repository/commit by roboneuro</a>, based on the <a href="https://www.github.com/rrsg2020/note/commit/af67956e29e9f37ffaedd772552872eeb5c8ad6f">latest change by the author</a>. <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/23">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org" target="NeuroLibre">https://neurolibre.org</a></strong></p>
Paper is not enough: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
NeuroLibre JupyterBook built at this <a href="https://github.com/roboneurolibre/note/commit/7e005e7e02aacd1b6404f6ee8eaf978415ca7c6a"> reference repository/commit by roboneuro</a>, based on the <a href="https://www.github.com/rrsg2020/note/commit/af67956e29e9f37ffaedd772552872eeb5c8ad6f">latest change by the author</a>. <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/23">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org" target="NeuroLibre">https://neurolibre.org</a></strong></p>
Paper is not enough: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
Docker image built from the <a href="https://github.com/roboneurolibre/note/commit/7e005e7e02aacd1b6404f6ee8eaf978415ca7c6a"> reference repository/commit by roboneuro</a>, based on the <a href="https://www.github.com/rrsg2020/note/commit/af67956e29e9f37ffaedd772552872eeb5c8ad6f">latest change by the author</a>, using repo2docker (through BinderHub). <br> To run locally: <ol> <li><pre><code>docker load < DockerImage_10.55458_NeuroLibre_00023_7e005e.tar.gz</code><pre></pre></pre></li><li><pre><code>docker run -it --rm -p 8888:8888 DOCKER_IMAGE_ID jupyter lab --ip 0.0.0.0</code></pre> </li></ol> <p><strong>by replacing <code>DOCKER_IMAGE_ID</code> above with the respective ID of the Docker image loaded from the zip file.</strong></p> <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/23">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org" target="NeuroLibre">https://neurolibre.org</a></strong></p>
