Bugfix in MultiCompartmentSphericalHarmonicsModel

Includes a bugfix that now correctly allows prediction of other acquisition scheme than the fitted one in MC-SH.
Thanks @matteofrigo for spotting this bug.

Official Stable Release of Dmipy Toolbox v1.0

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.

First Release of Dmipy: An Open-source Framework for Reproducible dMRI-Based Microstructure Research

First release to create Zenodo reference.