Ho, P., Lin, C., Chen, G., Liu, H., Huang, C., Lee, T. M., . . . Wu, S. (2017). Complexity analysis of resting state fMRI signals in depressive patients. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2017, 3190. https://doi.org/10.1109/EMBC.2017.8037535
Chicago Style (17th ed.) CitationHo, Pei-Shan, Chemin Lin, Guan-Yen Chen, Ho-Ling Liu, Chih-Mao Huang, Tatia Mei-Chun Lee, Shwu-Hua Lee, and Shun-Chi Wu. "Complexity Analysis of Resting State FMRI Signals in Depressive Patients." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2017 (2017): 3190. https://doi.org/10.1109/EMBC.2017.8037535.
MLA (9th ed.) CitationHo, Pei-Shan, et al. "Complexity Analysis of Resting State FMRI Signals in Depressive Patients." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2017, 2017, p. 3190, https://doi.org/10.1109/EMBC.2017.8037535.
