AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study.

MLA

Yi, Jirong, et al. “AI-Based Volumetric Six-Tissue Body Composition Quantification from CT Cardiac Attenuation Scans Enhances Mortality Prediction: Multicenter Study.” MedRxiv : The Preprint Server for Health Sciences, Aug. 2024. EBSCOhost, https://doi.org/10.1101/2024.07.30.24311224.

APA

Yi, J., Michalowska, A. M., Shanbhag, A., Miller, R. J. H., Geers, J., Zhang, W., Killekar, A., Manral, N., Lemley, M., Buchwald, M., Kwiecinski, J., Zhou, J., Kavanagh, P. B., Liang, J. X., Builoff, V., Ruddy, T. D., Einstein, A. J., Feher, A., Miller, E. J., … Slomka, P. J. (2024). AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study. MedRxiv : The Preprint Server for Health Sciences. https://doi.org/10.1101/2024.07.30.24311224

Chicago

Yi, Jirong, Anna M Michalowska, Aakash Shanbhag, Robert J H Miller, Jolien Geers, Wenhao Zhang, Aditya Killekar, et al. 2024. “AI-Based Volumetric Six-Tissue Body Composition Quantification from CT Cardiac Attenuation Scans Enhances Mortality Prediction: Multicenter Study.” MedRxiv : The Preprint Server for Health Sciences, August. doi:10.1101/2024.07.30.24311224.