APA (7th ed.) Citation

Fillingham, P., Levitt, M., Kurt, M., Lim, D., Federico, E., Keen, J., & Aliseda, A. (2022). E-177 Machine learning model for the prediction of patient-specific waveforms of blood flowthrough the internal carotid artery. Journal of neurointerventional surgery, 14(Suppl 1), A173. https://doi.org/10.1136/neurintsurg-2022-SNIS.288

Chicago Style (17th ed.) Citation

Fillingham, P., M. Levitt, M. Kurt, D. Lim, E. Federico, J. Keen, and A. Aliseda. "E-177 Machine Learning Model for the Prediction of Patient-specific Waveforms of Blood Flowthrough the Internal Carotid Artery." Journal of Neurointerventional Surgery 14, no. Suppl 1 (2022): A173. https://doi.org/10.1136/neurintsurg-2022-SNIS.288.

MLA (9th ed.) Citation

Fillingham, P., et al. "E-177 Machine Learning Model for the Prediction of Patient-specific Waveforms of Blood Flowthrough the Internal Carotid Artery." Journal of Neurointerventional Surgery, vol. 14, no. Suppl 1, 2022, p. A173, https://doi.org/10.1136/neurintsurg-2022-SNIS.288.