Cite
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
MLA
José V. Manjón, et al. Comparing Fully Automated State-of-the-Art Cerebellum Parcellation from Magnetic Resonance Images. Dec. 2018. EBSCOhost, https://doi.org/10.1016/j.neuroimage.2018.08.003⟩.
APA
José V. Manjón, Aaron Carass, Benjamin Thyreau, Ismail Ben Ayed, Shuo Han, Chiadi U. Onyike, Christian Desrosiers, Paul M. Thompson, Jennifer L. Cuzzocreo, Paul E. Rasser, Jerry L. Prince, Carlos R. Hernandez-Castillo, Stewart H. Mostofsky, José E. Romero, Pierrick Coupé, Melanie Ganz, Bennett A. Landman, D. Louis Collins, Vincent Beliveau, … Sarah H. Ying. (2018). Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. https://doi.org/10.1016/j.neuroimage.2018.08.003⟩
Chicago
José V. Manjón, Aaron Carass, Benjamin Thyreau, Ismail Ben Ayed, Shuo Han, Chiadi U. Onyike, Christian Desrosiers, et al. 2018. “Comparing Fully Automated State-of-the-Art Cerebellum Parcellation from Magnetic Resonance Images,” December. doi:10.1016/j.neuroimage.2018.08.003⟩.