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Emmanuel Gaillard

Researcher at Université de Montréal

Publications -  16
Citations -  323

Emmanuel Gaillard is an academic researcher from Université de Montréal. The author has contributed to research in topics: Aortic valve stenosis & Aortic valve. The author has an hindex of 9, co-authored 16 publications receiving 267 citations. Previous affiliations of Emmanuel Gaillard include Concordia University & McGill University.

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Impairment of coronary flow reserve in aortic stenosis

TL;DR: An explicit mathematical model formulated with a limited number of parameters that describes the effect of AS on left coronary inflow patterns and CFR is developed, combining the mathematical V(3) (ventricular-valvular-vascular) model with a new lumped-parameter model of coronary infow.
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Non-Invasive Determination of Left Ventricular Workload in Patients with Aortic Stenosis Using Magnetic Resonance Imaging and Doppler Echocardiography

TL;DR: Developing a lumped-parameter model to describe the ventricular-valvular-arterial interaction and to estimate the LV stroke work (SW), and introducing and validating a new index, the normalized Stroke Work (N-SW), to assess the global hemodynamic load imposed on the LV.
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Discrepancies between cardiovascular magnetic resonance and Doppler echocardiography in the measurement of transvalvular gradient in aortic stenosis: the effect of flow vorticity

TL;DR: Flow vorticity is one of the main factors responsible for MPG discrepancies between CMR and TTE, and two correction models were evaluated: based on the Gorlin equation and a multivariate regression model.
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Effect of coarctation of the aorta and bicuspid aortic valve on flow dynamics and turbulence in the aorta using particle image velocimetry

TL;DR: Findings of this study indicate that the presence of both a COA and a pathological aortic valve significantly alters hemodynamics in the aorta and thus might contribute to the progression of the disease in this region.
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Characterization of fracture toughness exhaustion in pig aorta.

TL;DR: The experiments reveal that aortic wall stiffness variations and fracture toughness exhaustion decreased as a function of loading cycles and can be modeled with exponential functions, suggesting the possibility to use fractures toughness exhaustion curves as a fatigue criterion.