American Psychological Association 6th edition

Sarkhosh, M. H., Edrisnia, H., Raveshi, M. R., & Sharbatdar, M. (2025). Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning. Frontiers in Physiology, 1-12. https://doi.org/10.3389/fphys.2025.1518732

ISO-690 (author-date, English)

SARKHOSH, Mohammad Hossein, EDRISNIA, Hadis, RAVESHI, Mohammad Reza und SHARBATDAR, Mahkame, 2025. Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning. Frontiers in Physiology. 19 März 2025. P. 1-12. DOI 10.3389/fphys.2025.1518732.

Modern Language Association 9th edition

Sarkhosh, M. H., H. Edrisnia, M. R. Raveshi, und M. Sharbatdar. „Prediction of Time Averaged Wall Shear Stress Distribution in Coronary arteries’ Bifurcation Varying in Morphological Features via Deep Learning.“. Frontiers in Physiology, März 2025, S. 1-12, https://doi.org/10.3389/fphys.2025.1518732.

Mohr Siebeck - Recht (Deutsch - Österreich)

Sarkhosh, Mohammad Hossein/Edrisnia, Hadis/Raveshi, Mohammad Reza/Sharbatdar, Mahkame: Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning., Frontiers in Physiology 2025, 1-12.

Emerald - Harvard

Sarkhosh, M.H., Edrisnia, H., Raveshi, M.R. und Sharbatdar, M. (2025), „Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning.“, Frontiers in Physiology, S. 1-12.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.