A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data.

MLA

Azevedo, Tiago, et al. “A Deep Graph Neural Network Architecture for Modelling Spatio-Temporal Dynamics in Resting-State Functional MRI Data.” Medical Image Analysis, vol. 79, July 2022, p. 102471. EBSCOhost, https://doi.org/10.1016/j.media.2022.102471.

APA

Azevedo, T., Campbell, A., Romero-Garcia, R., Passamonti, L., Bethlehem, R. A. I., Liò, P., & Toschi, N. (2022). A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data. Medical Image Analysis, 79, 102471. https://doi.org/10.1016/j.media.2022.102471

Chicago

Azevedo, Tiago, Alexander Campbell, Rafael Romero-Garcia, Luca Passamonti, Richard A I Bethlehem, Pietro Liò, and Nicola Toschi. 2022. “A Deep Graph Neural Network Architecture for Modelling Spatio-Temporal Dynamics in Resting-State Functional MRI Data.” Medical Image Analysis 79 (July): 102471. doi:10.1016/j.media.2022.102471.