Stamatia Zoi Pagoulatou

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Related publications (24)

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Nikolaos Stergiopoulos, Stamatia Zoi Pagoulatou, Vasiliki Bikia, Georgios Rovas

Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninvasive estimation of aortic hemodynamics and cardiac contractility is still challenging. This paper investigated the potential of estimating aortic systolic ...

Nature Research2020

On the importance of the nonuniform aortic stiffening in the hemodynamics of physiological aging

Nikolaos Stergiopoulos, Bram Trachet, Stamatia Zoi Pagoulatou, Vasiliki Bikia

Mathematical models of the arterial tree constitute a valuable tool to investigate the hemodynamics of aging and pathology. Rendering such models as patient specific could allow for the assessment of central hemodynamic variables of clinical interest. Howe ...

AMER PHYSIOLOGICAL SOC2019

Estimating Left Ventricular Elastance from Aortic Flow Waveform, Ventricular Ejection Fraction, and Brachial Pressure: An In Silico Study

Nikolaos Stergiopoulos, Stamatia Zoi Pagoulatou

Although left ventricular end-systolic elastance (E-es) serves as a major index of cardiac contractility, a widely-accepted noninvasive estimation of E-es does not exist. To overcome this limitation, we developed a two-step inverse method that allows for i ...

SPRINGER2018

Relationship between breathing pattern and aortic flow measurement: head-to-head comparison between high temporal resolution free-breathing phase contrast CMR and standard breath-hold sequence

Janine Schwitter, Stamatia Zoi Pagoulatou

OXFORD UNIV PRESS2018

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