"CerebNet: A fast and reliable deep-learning pipeline for detailed ..."

Jennifer Faber et al. (2022)

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DOI: 10.1016/J.NEUROIMAGE.2022.119703

access: open

type: Journal Article

metadata version: 2023-09-30

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Jennifer Faber, David Kügler, Emad Bahrami, Lea-Sophie Heinz, Dagmar Timmann, Thomas Michael Ernst, Katerina Deike-Hofmann, Thomas Klockgether, Bart van de Warrenburg, Judith van Gaalen, Kathrin Reetz, Sandro Romanzetti, Gulin Oz, James M. Joers, Jörn Diedrichsen:
CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation. NeuroImage 264: 119703 (2022)

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