1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2024
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis
Dilek M. Yalcinkaya, Khalid Youssef, Bobak Heydari +8
Background. Fully automatic analysis of myocardial perfusion MRI datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart dis…
q-bio.TO2022★ 1 cited
Data-driven generation of 4D velocity profiles in the aneurysmal ascending aorta
Simone Saitta, Ludovica Maga, Chloe Armour +8
Numerical simulations of blood flow are a valuable tool to investigate the pathophysiology of ascending thoracic aortic aneurysms (ATAA). To accurately reproduce hemodynamics, comp…