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Continuous and analytical diffusion signal modelling

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app-dipy-MAPMRI

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Funding Acknowledgement

brainlife.io is publicly funded and for the sustainability of the project it is helpful to Acknowledge the use of the platform. We kindly ask that you acknowledge the funding below in your publications and code reusing this code.

NSF-BCS-1734853 NSF-BCS-1636893 NSF-ACI-1916518 NSF-IIS-1912270 NIH-NIBIB-R01EB029272

Citations

We kindly ask that you cite the following articles when publishing papers and code using this code.

  1. Avesani, P., McPherson, B., Hayashi, S. et al. The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Sci Data 6, 69 (2019). https://doi.org/10.1038/s41597-019-0073-y.
  2. Özarslan E, Koay CG, Shepherd TM, et al. Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure. Neuroimage. 2013;78:16-32. doi:10.1016/j.neuroimage.2013.04.016

MIT Copyright (c) 2020 brainlife.io The University of Texas at Austin and Indiana University

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Continuous and analytical diffusion signal modelling

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