%0 Conference Paper %1 conf/miccai/Goodwin-Allcock22 %A Goodwin-Allcock, Tobias %A McEwen, Jason D. %A Gray, Robert J. %A Nachev, Parashkev %A Zhang, Hui %B CDMRI@MICCAI %D 2022 %E Karayumak, Suheyla Cetin %E Christiaens, Daan %E Figini, Matteo %E Guevara, Pamela %E Pieciak, Tomasz %E Powell, Elizabeth %E Rheault, Francois %I Springer %K dblp %P 101-112 %T How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? %U http://dblp.uni-trier.de/db/conf/miccai/cdmri2022.html#Goodwin-Allcock22 %V 13722 %@ 978-3-031-21206-2

@inproceedings{conf/miccai/Goodwin-Allcock22, added-at = {2023-12-06T00:00:00.000+0100}, author = {Goodwin-Allcock, Tobias and McEwen, Jason D. and Gray, Robert J. and Nachev, Parashkev and Zhang, Hui}, biburl = {https://www.bibsonomy.org/bibtex/2e01523739600ecdbab924ba567e98d93/dblp}, booktitle = {CDMRI@MICCAI}, crossref = {conf/miccai/2022cdmri}, editor = {Karayumak, Suheyla Cetin and Christiaens, Daan and Figini, Matteo and Guevara, Pamela and Pieciak, Tomasz and Powell, Elizabeth and Rheault, Francois}, ee = {https://doi.org/10.1007/978-3-031-21206-2_9}, interhash = {4cbacfa77a34ae29d287e8b2bd288c50}, intrahash = {e01523739600ecdbab924ba567e98d93}, isbn = {978-3-031-21206-2}, keywords = {dblp}, pages = {101-112}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T22:24:11.000+0200}, title = {How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation?}, url = {http://dblp.uni-trier.de/db/conf/miccai/cdmri2022.html#Goodwin-Allcock22}, volume = 13722, year = 2022 }