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13 | 13 | | **FSL** | | https://doi.org/10.1016/j.neuroimage.2004.07.051 https://doi.org/10.1016/j.neuroimage.2008.10.055 https://doi.org/10.1016/j.neuroimage.2011.09.015 |
14 | 14 | | FAST | https://doi.org/10.1109/42.906424 | https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FAST | |
15 | 15 | | BET | https://doi.org/10.1002/hbm.10062 | https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/BET | |
16 | | -| FLIRT | https://doi.org/10.1006/nimg.2002.1132 https://doi.org/10.1016/S1361-8415(01)00036-6 | https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FLIRT; https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FLIRT_BBR | |
17 | | -| MCFLIRT | https://doi.org/10.1006/nimg.2002.1132 | https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/MCFLIRT | |
18 | | -| SUSAN | https://doi.org/10.1023/A:1007963824710 | https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/SUSAN | |
19 | | -| MELODIC | | https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/MELODIC | |
20 | | -| PRELUDE & FUGUE | https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FUGUE/Guide | https://nipype.readthedocs.io/en/latest/interfaces/generated/workflows.dmri/fsl.utils.html#cleanup-edge-pipeline | |
21 | 16 | | **AFNI** | | https://doi.org/10.1006/cbmr.1996.0014; https://doi.org/10.1016/j.neuroimage.2011.08.056 |
22 | 17 | | 3dvolreg | | https://afni.nimh.nih.gov/pub/dist/doc/program_help/3dvolreg.html | |
23 | | -| 3dTshift | | https://afni.nimh.nih.gov/pub/dist/doc/program_help/3dTshift.html | |
24 | 18 | | 3dUnifize | | https://afni.nimh.nih.gov/pub/dist/doc/program_help/3dUnifize.html | |
25 | 19 | | 3dAutomask | | https://afni.nimh.nih.gov/pub/dist/doc/program_help/3dAutomask.html | |
26 | 20 | | **Power, et al. (2012) measures** | https://doi.org/10.1016/j.neuroimage.2011.10.018 | | |
27 | 21 | | DVARS | https://arxiv.org/abs/1704.01469 https://doi.org/10.1101/125021 | https://nipype.readthedocs.io/en/latest/interfaces/generated/nipype.algorithms.confounds.html#computedvars | |
28 | 22 | | Framewise displacement | | https://nipype.readthedocs.io/en/latest/interfaces/generated/nipype.algorithms.confounds.html#framewisedisplacement | |
29 | 23 | | **Other** |
30 | | -| a/tCompCor | https://doi.org/10.1016/j.neuroimage.2007.04.042 | https://nipype.readthedocs.io/en/latest/api/generated/nipype.algorithms.confounds.html#nipype-algorithms-confounds-compcor | |
31 | 24 | | Connectome Workbench | | https://humanconnectome.org/software/connectome-workbench |
32 | | -| phdiff2fmap | https://doi.org/10.1006/nimg.2001.1054 | https://fmriprep.readthedocs.io/en/stable/sdc/estimation.html#fmriprep.interfaces.fmap.phdiff2fmap | |
33 | 25 | | nibabel | https://doi.org/10.5281/zenodo.60808 | https://github.com/nipy/nibabel/ | |
34 | 26 | | nilearn | https://doi.org/10.3389/fninf.2014.00014 | https://github.com/nilearn/nilearn/ | |
35 | 27 | | nipype | https://doi.org/10.3389/fninf.2011.00013 https://doi.org/10.5281/zenodo.581704 | https://github.com/nipy/nipype/ | |
36 | | -| convert3d | | https://sourceforge.net/projects/c3d/ | |
37 | 28 | | **Graphics** |
38 | 29 | | seaborn | https://doi.org/10.5281/zenodo.883859 | https://github.com/mwaskom/seaborn | |
39 | 30 | | matplotlib 2.0.0 | https://doi.org/10.5281/zenodo.248351 | https://github.com/matplotlib/matplotlib | |
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