CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation

CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation

Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene silencing trial has recently started, there is an u...

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Bibliographic Details
Main Authors: Jennifer Faber, David Kügler, Emad Bahrami, Lea-Sophie Heinz, Dagmar Timmann, Thomas M. Ernst, Katerina Deike-Hofmann, Thomas Klockgether, Bart van de Warrenburg, Judith van Gaalen, Kathrin Reetz, Sandro Romanzetti, Gulin Oz, James M. Joers, Jorn Diedrichsen, Martin Reuter, Paola Giunti, Hector Garcia-Moreno, Heike Jacobi, Johann Jende, Jeroen de Vries, Michal Povazan, Peter B. Barker, Katherina Marie Steiner, Janna Krahe
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:NeuroImage
Subjects:
00-01
99-00
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922008242

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http://www.sciencedirect.com/science/article/pii/S1053811922008242

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