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Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

Carass, Aaron, Cuzzocreo, Jennifer L., Han, Shuo, Hernandez-Castillo, Carlos R., Rasser, Paul E., Ganz, Melanie, Beliveau, Vincent, Dolz, Jose, Ben Ayed, Ismail, Desrosiers, Christian, Thyreau, Benjamin, Romero, José E., Coupé, Pierrick, Manjón, José V., Fonov, Vladimir S., Collins, D. Louis, Ying, Sarah H., Onyike, Chiadi U., Crocetti, Deana, Landman, Bennett A., Mostofsky, Stewart H., Thompson, Paul M. et Prince, Jerry L.. 2018. « Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ». NeuroImage, vol. 183. pp. 150-172.
Compte des citations dans Scopus : 21.

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Item Type: Peer reviewed article published in a journal
Professor:
Professor
Dolz, José
Ben Ayed, Ismail
Desrosiers, Christian
Affiliation: Autres, Génie de la production automatisée, Génie logiciel et des technologies de l'information
Date Deposited: 10 Sep 2018 20:12
Last Modified: 28 Jan 2020 16:41
URI: https://espace2.etsmtl.ca/id/eprint/17313

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