Kroll, L.; Nassenstein, K.; Jochims, M.; Koitka, S.; Nensa, F.
Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification—A Deep Learning Based Approach Using Fully Automated Body Composition Analysis. J. Clin. Med. 2021, 10, 356.
https://doi.org/10.3390/jcm10020356
AMA Style
Kroll L, Nassenstein K, Jochims M, Koitka S, Nensa F.
Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification—A Deep Learning Based Approach Using Fully Automated Body Composition Analysis. Journal of Clinical Medicine. 2021; 10(2):356.
https://doi.org/10.3390/jcm10020356
Chicago/Turabian Style
Kroll, Lennard, Kai Nassenstein, Markus Jochims, Sven Koitka, and Felix Nensa.
2021. "Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification—A Deep Learning Based Approach Using Fully Automated Body Composition Analysis" Journal of Clinical Medicine 10, no. 2: 356.
https://doi.org/10.3390/jcm10020356
APA Style
Kroll, L., Nassenstein, K., Jochims, M., Koitka, S., & Nensa, F.
(2021). Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification—A Deep Learning Based Approach Using Fully Automated Body Composition Analysis. Journal of Clinical Medicine, 10(2), 356.
https://doi.org/10.3390/jcm10020356
