1,436 research outputs found
Parcellating the parcellation issue - a proof of concept for reproducible analyses using Neurolibre
No full textGitHub archive of the <a href="https://github.com/roboneurolibre/editorial_parcellation/commit/7bb3f7117650b0014ee82891d114054982029a96"> reference repository/commit by roboneuro</a>, based on the <a href="https://github.com/pbellec/editorial_parcellation/commit/68271e4a52cce4ae3a79de074b01d95ce8944c8f">latest change by the author</a>. <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/10">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org">https://neurolibre.org</a></strong></p>
Parcellating the parcellation issue - a proof of concept for reproducible analyses using Neurolibre
No full textNeuroLibre JupyterBook built at this <a href="https://github.com/roboneurolibre/editorial_parcellation/commit/7bb3f7117650b0014ee82891d114054982029a96"> reference repository/commit by roboneuro</a>, based on the <a href="https://github.com/pbellec/editorial_parcellation/commit/68271e4a52cce4ae3a79de074b01d95ce8944c8f">latest change by the author</a>. <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/10">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org">https://neurolibre.org</a></strong></p>
Parcellating the parcellation issue - a proof of concept for reproducible analyses using Neurolibre
No full textDataset provided for NeuroLibre preprint.
Author repo: https://github.com/pbellec/editorial_parcellation
NeuroLibre fork:https://github.com/roboneurolibre/editorial_parcellation <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/10">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org">https://neurolibre.org</a></strong></p>
(Dataset) Analysis code for the paper "RF shimming in the cervical spinal cord at 7T"
No full textDataset provided for NeuroLibre preprint.
Author repo: https://github.com/shimming-toolbox/rf-shimming-7t
NeuroLibre fork:https://github.com/roboneurolibre/rf-shimming-7t <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/25">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org" target="NeuroLibre">https://neurolibre.org</a></strong></p>
Parcellating the parcellation issue - a proof of concept for reproducible analyses using Neurolibre
No full textDocker image built from the <a href="https://github.com/roboneurolibre/editorial_parcellation/commit/7bb3f7117650b0014ee82891d114054982029a96"> reference repository/commit by roboneuro</a>, based on the <a href="https://github.com/pbellec/editorial_parcellation/commit/68271e4a52cce4ae3a79de074b01d95ce8944c8f">latest change by the author</a>, using repo2docker (through BinderHub). <br> To run locally: <ol> <li><pre><code class="language-bash">docker load < DockerImage_10.55458_NeuroLibre_00010_7bb3f7.tar.gz</code><pre></pre></pre></li><li><pre><code class="language-bash">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/10">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org">https://neurolibre.org</a></strong></p>
Paper is not enough: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
No full textDataset 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>
Paper is not enough: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
No full textGitHub 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>
Quantitative T1 MRI
No full textGitHub archive of the <a href="https://github.com/roboneurolibre/t1-book-neurolibre/commit/0f9c84e7f265c93bb74c818ba98d779f2ae24f91"> reference repository/commit by roboneuro</a>, based on the <a href="https://github.com/qMRLab/t1-book-neurolibre/commit/8072a08d1a85c4f400d6c3954f52348cc5b29d7a">latest change by the author</a>. <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/19">NeuroLibre technical screening.</a></p>
<p><strong><a href="https://neurolibre.org">https://neurolibre.org</a></strong></p>
Quantitative T1 MRI
No full text<p><strong>About:</strong> This dataset consists of Python objects in pkl format, which were generated by executing qMRLab scripts in MATLAB, and they are utilized to produce interactive visualizations with Plotly. The outputs are derived from Bloch simulations of qMRI experiments and incorporate a select number of in-vivo datasets. These outputs serve to illustrate the connection between quantitative images and their corresponding qualitative counterparts from which they were derived.</p><p>Dataset provided for NeuroLibre preprint. Author repo: https://github.com/qMRLab/t1-book-neurolibre NeuroLibre fork:https://github.com/roboneurolibre/t1-book-neurolibre</p><p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/19">NeuroLibre technical screening.</a></p><p><a href="https://neurolibre.org"><strong>https://neurolibre.org</strong></a></p>
Longitudinal stability of brain and spinal cord quantitative MRI measures
No full text<p><strong>About: </strong>Tabular (CSV) files are generated by the Courtois Neuromod<a href="https://github.com/courtois-neuromod/anat-processing"> structural data processing workflow</a>. These files contain quantitative MRI metrics such as T1, MTsat, and MTR, in addition to fundamental diffusion tensor imaging indices like RD and FA derived from brain data. The results also encompass the same metrics for spinal cord imaging data, supplemented with additional metrics for spinal cord morphometry. For details regarding the raw data please visit <a href="https://www.cneuromod.ca">https://www.cneuromod.ca</a>. </p><p>Dataset provided for NeuroLibre preprint. Author repo: https://github.com/courtois-neuromod/anat-processing-paper NeuroLibre fork:https://github.com/roboneurolibre/anat-processing-paper</p><p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/18">NeuroLibre technical screening.</a></p><p><a href="https://neurolibre.org"><strong>https://neurolibre.org</strong></a></p>
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