R
Raúl A. Feijóo
Researcher at National Institute of Standards and Technology
Publications - 108
Citations - 2982
Raúl A. Feijóo is an academic researcher from National Institute of Standards and Technology. The author has contributed to research in topics: Finite element method & Representative elementary volume. The author has an hindex of 29, co-authored 102 publications receiving 2575 citations. Previous affiliations of Raúl A. Feijóo include National Council for Scientific and Technological Development & Swansea University.
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Second order topological sensitivity analysis
TL;DR: The topological sensitivity analysis as discussed by the authors provides an asymptotic expansion of a given cost function with respect to the insertion of a small hole at an arbitrary point of the domain.
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A computational approach to generate concurrent arterial networks in vascular territories
TL;DR: A computational procedure is proposed to vascularize anatomical regions supplied by many inflow sites by creating a partition of the territory to be vascularized into nonoverlapping subdomains that are independently supplied by the so‐called perforator arteries (inflow sites).
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A Cellular Automata-Based Mathematical Model for Thymocyte Development
TL;DR: A cellular automata-based mathematical model that takes into account the main stages of thymocyte development, two-dimensional sections of the normal thymic microenvironmental network, as well as the chemokines involved in intrathymic cell migration and development is built.
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The method of multiscale virtual power for the derivation of a second order mechanical model
TL;DR: In this article, a multi-scale model based on the concept of Representative Volume Element (RVE) is proposed linking a classical continuum at RVE level to a macro-scale strain-gradient theory.
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A head-to-head comparison between CT- and IVUS-derived coronary blood flow models
Carlos A. Bulant,Carlos A. Bulant,Pablo J. Blanco,Pablo J. Blanco,G.D. Maso Talou,G.D. Maso Talou,C. Guedes Bezerra,Pedro A. Lemos,Raúl A. Feijóo,Raúl A. Feijóo +9 more
TL;DR: Comparing coronary hemodynamics as predicted by computational blood flow models derived from two imaging modalities: coronary computed tomography angiography (CCTA) and intravascular ultrasound integrated with angiographic (IVUS) found that CCTA models predict larger pressure drops, higher average blood velocity and smaller FFR.