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Official Stable Release of Dmipy Toolbox v1.0
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@rutgerfick rutgerfick released this 15 Oct 08:43
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1.0
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Learn about vigilant mode.

With the official publication of the Dmipy journal paper, we hereby also release the mature version of the Dmipy codebase. The reference is the following:

Fick, Rutger HJ, Demian Wassermann, and Rachid Deriche. "The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy." Frontiers in Neuroinformatics 13 (2019): 64.

Dmipy's modular, on-the-fly model generation implementation allows for the implementation and exploration of most imaginable PGSE dMRI-based multi-compartment modeling approaches and variants, that are available in the literature. Moreover, Dmipy goes beyond the state-of-the-art by facilitating the creation of cross-framework or iterative MC-models (that have multiple, separate optimization steps), and generalizing multi-tissue MC-modeling for all MC-model variants. To demonstrate, the examples page explicitly implements tens of MC-models and demonstrates their use.

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