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Merge pull request #2833 from katrinleinweber/resolve-DOIs-securely
DOC: Hyperlink DOIs to preferred resolver
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doc/about.rst

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@@ -215,7 +215,7 @@ this way you can use the initial paper published in 2011 (see below).
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month = "08",
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doi = "10.3389/fninf.2011.00013",
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pubmed = "21897815",
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url = "http://dx.doi.org/10.3389/fninf.2011.00013",
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url = "https://doi.org/10.3389/fninf.2011.00013",
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issn = "1662-5196"}
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nipype/algorithms/confounds.py

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@@ -271,7 +271,7 @@ class FramewiseDisplacement(BaseInterface):
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.. [Power2012] Power et al., Spurious but systematic correlations in functional
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connectivity MRI networks arise from subject motion, NeuroImage 59(3),
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2012. doi:`10.1016/j.neuroimage.2011.10.018
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<http://dx.doi.org/10.1016/j.neuroimage.2011.10.018>`_.
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<https://doi.org/10.1016/j.neuroimage.2011.10.018>`_.
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"""

nipype/interfaces/ants/segmentation.py

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@@ -1587,7 +1587,7 @@ class KellyKapowski(ANTSCommand):
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"year={2009},"
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"issn={1053-8119},"
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"url={http://www.sciencedirect.com/science/article/pii/S1053811908012780},"
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"doi={http://dx.doi.org/10.1016/j.neuroimage.2008.12.016}"
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"doi={https://doi.org/10.1016/j.neuroimage.2008.12.016}"
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"}"),
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'description':
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'The details on the implementation of DiReCT.',

nipype/interfaces/dipy/preprocess.py

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.. [Coupe2008] Coupe P et al., `An Optimized Blockwise Non Local Means
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Denoising Filter for 3D Magnetic Resonance Images
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<http://dx.doi.org/10.1109%2FTMI.2007.906087>`_,
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<https://doi.org/10.1109%2FTMI.2007.906087>`_,
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IEEE Transactions on Medical Imaging, 27(4):425-441, 2008.
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nipype/interfaces/dipy/simulate.py

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.. [Alexander2002] Alexander et al., Detection and modeling of non-Gaussian
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apparent diffusion coefficient profiles in human brain data, MRM
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48(2):331-340, 2002, doi: `10.1002/mrm.10209
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<http://dx.doi.org/10.1002/mrm.10209>`_.
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<https://doi.org/10.1002/mrm.10209>`_.
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.. [Pierpaoli1996] Pierpaoli et al., Diffusion tensor MR imaging
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of the human brain, Radiology 201:637-648. 1996.
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"""

nipype/interfaces/nipy/preprocess.py

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application to joint correction of motion and slice timing \
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in fMRI. IEEE Trans Med Imaging. 2011 Aug;30(8):1546-54. DOI_.
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.. _DOI: http://dx.doi.org/10.1109/TMI.2011.2131152
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.. _DOI: https://doi.org/10.1109/TMI.2011.2131152
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"""
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nipype/interfaces/petpvc.py

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"number={22},"
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"pages={7975},"
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"url={http://stacks.iop.org/0031-9155/61/i=22/a=7975},"
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"doi={http://dx.doi.org/10.1088/0031-9155/61/22/7975},"
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"doi={https://doi.org/10.1088/0031-9155/61/22/7975},"
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"year={2016},"
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"}"),
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'description':

nipype/workflows/dmri/fsl/artifacts.py

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.. [Leemans09] Leemans A, and Jones DK, `The B-matrix must be rotated
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when correcting for subject motion in DTI data
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<http://dx.doi.org/10.1002/mrm.21890>`_,
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<https://doi.org/10.1002/mrm.21890>`_,
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Magn Reson Med. 61(6):1336-49. 2009. doi: 10.1002/mrm.21890.
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.. [Yendiki13] Yendiki A et al., `Spurious group differences due to head
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motion in a diffusion MRI study
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<http://dx.doi.org/10.1016/j.neuroimage.2013.11.027>`_.
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<https://doi.org/10.1016/j.neuroimage.2013.11.027>`_.
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Neuroimage. 21(88C):79-90. 2013. doi: 10.1016/j.neuroimage.2013.11.027
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Example
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.. [Jezzard95] Jezzard P, and Balaban RS, `Correction for geometric
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distortion in echo planar images from B0 field variations
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<http://dx.doi.org/10.1002/mrm.1910340111>`_,
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<https://doi.org/10.1002/mrm.1910340111>`_,
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MRM 34(1):65-73. (1995). doi: 10.1002/mrm.1910340111.
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.. [Jenkinson03] Jenkinson M., `Fast, automated, N-dimensional
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phase-unwrapping algorithm <http://dx.doi.org/10.1002/mrm.10354>`_,
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phase-unwrapping algorithm <https://doi.org/10.1002/mrm.10354>`_,
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MRM 49(1):193-197, 2003, doi: 10.1002/mrm.10354.
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"""
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.. [Andersson2003] Andersson JL et al., `How to correct susceptibility
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distortions in spin-echo echo-planar images: application to diffusion
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tensor imaging <http://dx.doi.org/10.1016/S1053-8119(03)00336-7>`_.
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tensor imaging <https://doi.org/10.1016/S1053-8119(03)00336-7>`_.
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Neuroimage. 2003 Oct;20(2):870-88. doi: 10.1016/S1053-8119(03)00336-7
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.. [Cordes2000] Cordes D et al., Geometric distortion correction in EPI
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.. [Jeurissen2014] Jeurissen B. et al., `Multi-tissue constrained
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spherical deconvolution for improved analysis of multi-shell diffusion
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MRI data <http://dx.doi.org/10.1016/j.neuroimage.2014.07.061>`_.
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MRI data <https://doi.org/10.1016/j.neuroimage.2014.07.061>`_.
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NeuroImage (2014). doi: 10.1016/j.neuroimage.2014.07.061
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