Tobias Goodwin-Allcock, Jason D. McEwen, Robert Gray, Parashkev Nachev, Hui Zhang 0005. How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation?. In Suheyla Cetin Karayumak, Daan Christiaens, Matteo Figini, Pamela Guevara, Tomasz Pieciak, Elizabeth Powell, Francois Rheault, editors, Computational Diffusion MRI - 13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Volume 13722 of Lecture Notes in Computer Science, pages 101-112, Springer, 2022. [doi]
@inproceedings{Goodwin-Allcock22,
title = {How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation?},
author = {Tobias Goodwin-Allcock and Jason D. McEwen and Robert Gray and Parashkev Nachev and Hui Zhang 0005},
year = {2022},
doi = {10.1007/978-3-031-21206-2_9},
url = {https://doi.org/10.1007/978-3-031-21206-2_9},
researchr = {https://researchr.org/publication/Goodwin-Allcock22},
cites = {0},
citedby = {0},
pages = {101-112},
booktitle = {Computational Diffusion MRI - 13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings},
editor = {Suheyla Cetin Karayumak and Daan Christiaens and Matteo Figini and Pamela Guevara and Tomasz Pieciak and Elizabeth Powell and Francois Rheault},
volume = {13722},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-21206-2},
}