APA (7th ed.) Citation

Ebrahimkhani, M., Johnson, E. M. I., Sodhi, A., Robinson, J. D., Rigsby, C. K., Allen, B. D., & Markl, M. (2023). A Deep Learning Approach to Using Wearable Seismocardiography (SCG) for Diagnosing Aortic Valve Stenosis and Predicting Aortic Hemodynamics Obtained by 4D Flow MRI. Annals of Biomedical Engineering, 51(12), 2802. https://doi.org/10.1007/s10439-023-03342-7

Chicago Style (17th ed.) Citation

Ebrahimkhani, Mahmoud, Ethan M. I. Johnson, Aparna Sodhi, Joshua D. Robinson, Cynthia K. Rigsby, Bradly D. Allen, and Michael Markl. "A Deep Learning Approach to Using Wearable Seismocardiography (SCG) for Diagnosing Aortic Valve Stenosis and Predicting Aortic Hemodynamics Obtained by 4D Flow MRI." Annals of Biomedical Engineering 51, no. 12 (2023): 2802. https://doi.org/10.1007/s10439-023-03342-7.

MLA (9th ed.) Citation

Ebrahimkhani, Mahmoud, et al. "A Deep Learning Approach to Using Wearable Seismocardiography (SCG) for Diagnosing Aortic Valve Stenosis and Predicting Aortic Hemodynamics Obtained by 4D Flow MRI." Annals of Biomedical Engineering, vol. 51, no. 12, 2023, p. 2802, https://doi.org/10.1007/s10439-023-03342-7.