J. A. Detre, H. Rao, D. J. Wang, Y. F. Chen, and Z. Wang, Applications of

J. Petr, J. Ferre, J. Gauvrit, and C. Barillot, Improving arterial spin 526 labeling data by temporal filtering, Proc.SPIE, vol.7623, pp.7623-7623, 2010.

A. Buades, B. Coll, and J. M. Morel, A review of image denoising algorithms, 529 with a new one, Multiscale Modeling & Simulation, vol.4, pp.490-530, 2005.

P. Coupe, P. Yger, S. Prima, P. Hellier, C. Kervrann et al., An 531 optimized blockwise nonlocal means denoising filter for 3-d magnetic 532 resonance images, IEEE Transactions on Medical Imaging, vol.27, 2008.

J. Petr, J. Ferre, J. Gauvrit, and C. Barillot, Denoising arterial spin 535 labeling mri using tissue partial volume, Proc.SPIE, vol.7623, p.7623, 2010.

B. Scherrer, A. Gholipour, and S. K. Warfield, Super-resolution reconstruc538 tion to increase the spatial resolution of diffusion weighted images from 539 orthogonal anisotropic acquisitions, Medical Image Analysis, vol.16, 2012.

F. Rousseau, A non-local approach for image super-resolution using 542 intermodality priors, Medical Image Analysis, vol.14, pp.594-605, 2010.

J. V. Manjón, P. Coupé, A. Buades, D. L. Collins, and M. Robles, MRI su544 perresolution using self-similarity and image priors, International Jour545 nal of Biomedical Imaging, pp.1-11, 2010.

P. Coupé, J. V. Manjón, M. Chamberland, M. Descoteaux, and B. Hiba, Col547 laborative patch-based super-resolution for diffusion-weighted images, NeuroImage, vol.548, pp.245-261, 2013.

M. Protter, M. Elad, H. Takeda, and P. Milanfar, Generalizing the nonlocal550 means to super-resolution reconstruction, IEEE Transactions on Image, vol.551, pp.36-51, 2009.

C. Meurée, P. Maurel, and C. Barillot, Patch-based super-resolution for 553 arterial spin labeling MRI, ISMRM 25th Annual Meeting & Exhibition, p.554, 2017.

J. P. Marques, T. Kober, G. Krueger, W. Van-der-zwaag, and P. ,

K. Gorgolewski, C. D. Burns, C. Madison, D. Clark, and Y. O. Halchenko, , p.588

M. L. Waskom and S. S. Ghosh, Nipype: A flexible, lightweight and exten589 sible neuroimaging data processing framework in python, Neuroinformatics, vol.590, 2011.

M. Y. Zhao, M. Mezue, A. R. Segerdahl, T. W. Okell, I. Tracey et al., , p.592

M. A. Chappell, A systematic study of the sensitivity of partial vol593 ume correction methods for the quantification of perfusion from pseudo594 continuous arterial spin labeling MRI, NeuroImage, vol.162, pp.384-397, 2017.