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

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Bibliographic Details
Title: CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation.
Authors: Faber J; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurology, University Hospital Bonn, Germany., Kügler D; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany., Bahrami E; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Computer Science Department, University Bonn, Bonn, Germany., Heinz LS; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany., Timmann D; Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany., Ernst TM; Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany., Deike-Hofmann K; Department of Neuroradiology, University Hospital Bonn, Germany., Klockgether T; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurology, University Hospital Bonn, Germany., van de Warrenburg B; Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud university medical center, Nijmegen, The Netherlands., van Gaalen J; Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud university medical center, Nijmegen, The Netherlands., Reetz K; Department of Neurology, RWTH Aachen University, Germany; JARA-Brain Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich, Germany., Romanzetti S; Department of Neurology, RWTH Aachen University, Germany., Oz G; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA., Joers JM; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA., Diedrichsen J; Departments of Computer Science and Statistical and Actuarial Sciences, Western University, London, ON, Canada., Reuter M; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA. Electronic address: martin.reuter@dzne.de.
Corporate Authors: ESMI MRI Study Group
Source: NeuroImage [Neuroimage] 2022 Dec 01; Vol. 264, pp. 119703. Date of Electronic Publication: 2022 Oct 27.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-9572
DOI:10.1016/j.neuroimage.2022.119703