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Before installing HyperMapp3r

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Acknowledging this work

If you wish to include results generated by HyperMapp3r in a publication, please include a line such as the following:

White Matter Hyperintensity (WMH) segmentation was performing using the HyperMapp3r algorithm (hypermapp3r.readthedocs.io) based on a convolutional neural network.

Reference

Mojiri P, Biparva M, Ntiri EE, Ramirez J, Boone L, Holmes M, Adamo S, Gao F, Ozzoude M, Scott C, Dowlatshahi D, Lawrence-Dewar J, Kwan D, Lang A, Marcotte K, Leonard C, Rochon E, Heyn C, Bartha R, Strother S, Tardif JC, Symons S, Masellis M, Swartz R, Moody A, Black SE*, Goubran M*. Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation. Human Brain Mapping 2022. doi: https://doi.org/10.1002/hbm.25784

License

HyperMapp3r is licensed under the terms of the GNU General Public License v3.0.

HyperMapp3r is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. You should have received a copy of GNU General Public License v3.0 along with HyperMapp3r.

The code is released for academic research use only. For commercial use, please contact maged.goubran@sri.utoronto.ca.