R
Regina C. Almeida
Researcher at University of Texas at Austin
Publications - 48
Citations - 722
Regina C. Almeida is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Finite element method & Nonlinear system. The author has an hindex of 13, co-authored 42 publications receiving 601 citations. Previous affiliations of Regina C. Almeida include National Council for Scientific and Technological Development.
Papers
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Selection, calibration, and validation of models of tumor growth.
TL;DR: A general approach that explores powerful mixture-theory representations of tissue behavior while accounting for a range of relevant biological factors is presented, which leads to many potentially predictive models.
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Adaptive finite element computational fluid dynamics using an anisotropic error estimator
TL;DR: Several adaptive mesh-refinement solutions for interpolation problems are presented in order to show that the proposed optimal adaptive strategy using this anisotropic error estimator recovers optimal and/or superconvergent rates.
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Toward Predictive Multiscale Modeling of Vascular Tumor Growth: Computational and Experimental Oncology for Tumor Prediction
J. Tinsley Oden,Ernesto A. B. F. Lima,Regina C. Almeida,Yusheng Feng,Marissa Nichole Rylander,David Fuentes,Danial Faghihi,Mohammad Mamunur Rahman,Matthew R. DeWitt,Manasa Gadde,J. Cliff Zhou +10 more
TL;DR: New methods for model selection in the presence of uncertainties fundamental to predictive medical science, are described which are based on the notion of Bayesian model plausibilities.
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A hybrid ten-species phase-field model of tumor growth
TL;DR: A hybrid model that couples the tumor growth with sprouting through angiogenesis, a ten-species vascular model which falls within the framework of phase-field (or diffuse-interface) models suggested by continuum mixture theory is presented.
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Finite element analysis of convection dominated reaction-diffusion problems
TL;DR: The numerical analysis of the CAU (Consistent Approximate Upwind) Petrov-Galerkin method of convection dominated reaction-diffusion problems is presented, which improves the well-known h-version error analysis and improves the a priori analysis for shock-capturing methods.