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CERES: A new cerebellum lobule segmentation method

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CERES: A new cerebellum lobule segmentation method

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Romero Gomez, JE.; Coupe, P.; Giraud, R.; Ta, V.; Fonov, V.; Park, MTM.; Chalcravarty, MM.... (2017). CERES: A new cerebellum lobule segmentation method. NeuroImage. 147:916-924. doi:10.1016/j.neuroimage.2016.11.003

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/101448

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Title: CERES: A new cerebellum lobule segmentation method
Author: Romero Gómez, José Enrique Coupe, Pierrick Giraud, Remi Ta, Vinh-Thong Fonov, Vladimir Park, Min Tae M Chalcravarty, M. Mallar Voineskos, Aristotle N. Manjón Herrera, José Vicente
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
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[EN] The human cerebellum is involved in language, motor tasks and cognitive processes such as attention or emotional processing. Therefore, an automatic and accurate segmentation method is highly desirable to measure and ...[+]
Subjects: Cerebellum lobule segmentation , Non-local multi-atlas patch-based label fusion , Optimized PatchMatch
Copyrigths: Reserva de todos los derechos
NeuroImage. (issn: 1053-8119 )
DOI: 10.1016/j.neuroimage.2016.11.003
Publisher version: http://dx.doi.org/10.1016/j.neuroimage.2016.11.003
Project ID:
We want to thank the IXI - Information eXtraction from Images (EPSRC GR/S21533/02) datasets promoters for making available a valuable resource to the scientific community. This study has been carried out with financial ...[+]
Type: Artículo

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