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Ernesto Augusto Bueno da Fonseca Lima
Ernesto Augusto Bueno da Fonseca Lima
University of Texas at Austin
Bestätigte E-Mail-Adresse bei ices.utexas.edu
Titel
Zitiert von
Zitiert von
Jahr
The 2019 mathematical oncology roadmap
RC Rockne, A Hawkins-Daarud, KR Swanson, JP Sluka, JA Glazier, ...
Physical biology 16 (4), 041005, 2019
1892019
Mathematical models of tumor cell proliferation: A review of the literature
AM Jarrett, EABF Lima, DA Hormuth, MT McKenna, X Feng, DA Ekrut, ...
Expert review of anticancer therapy 18 (12), 1271-1286, 2018
1302018
Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect
KE Johnson, G Howard, W Mo, MK Strasser, EABF Lima, S Huang, ...
PLoS biology 17 (8), e3000399, 2019
1032019
Toward predictive multiscale modeling of vascular tumor growth: computational and experimental oncology for tumor prediction
JT Oden, EABF Lima, RC Almeida, Y Feng, MN Rylander, D Fuentes, ...
Archives of Computational Methods in Engineering 23, 735-779, 2016
1012016
Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil
JF Oliveira, DCP Jorge, RV Veiga, MS Rodrigues, MF Torquato, ...
Nature communications 12 (1), 333, 2021
1002021
Selection, calibration, and validation of models of tumor growth
E Lima, JT Oden, DA Hormuth, TE Yankeelov, RC Almeida
Mathematical Models and Methods in Applied Sciences 26 (12), 2341-2368, 2016
1002016
Selection and validation of predictive models of radiation effects on tumor growth based on noninvasive imaging data
E Lima, JT Oden, B Wohlmuth, A Shahmoradi, DA Hormuth II, ...
Computer methods in applied mechanics and engineering 327, 277-305, 2017
882017
A hybrid ten-species phase-field model of tumor growth
E Lima, JT Oden, RC Almeida
Mathematical Models and Methods in Applied Sciences 24 (13), 2569-2599, 2014
792014
Optimal control theory for personalized therapeutic regimens in oncology: Background, history, challenges, and opportunities
AM Jarrett, D Faghihi, DA Hormuth, EABF Lima, J Virostko, G Biros, D Patt, ...
Journal of clinical medicine 9 (5), 1314, 2020
662020
A hybrid model of tumor growth and angiogenesis: In silico experiments
CM Phillips, EABF Lima, RT Woodall, A Brock, TE Yankeelov
Plos one 15 (4), e0231137, 2020
572020
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
C Wu, G Lorenzo, DA Hormuth, EABF Lima, KP Slavkova, JC DiCarlo, ...
Biophysics reviews 3 (2), 2022
502022
Biologically-based mathematical modeling of tumor vasculature and angiogenesis via time-resolved imaging data
DA Hormuth, CM Phillips, C Wu, EABF Lima, G Lorenzo, PK Jha, ...
Cancers 13 (12), 3008, 2021
442021
Mechanism-based modeling of tumor growth and treatment response constrained by multiparametric imaging data
DA Hormuth, AM Jarrett, EABF Lima, MT McKenna, DT Fuentes, ...
JCO clinical cancer informatics 3, 1-10, 2019
442019
A hybrid three-scale model of tumor growth
HL Rocha, RC Almeida, E Lima, ACM Resende, JT Oden, TE Yankeelov
Mathematical Models and Methods in Applied Sciences 28 (01), 61-93, 2018
402018
Analysis and numerical solution of stochastic phase‐field models of tumor growth
EABF Lima, RC Almeida, JT Oden
Numerical methods for partial differential equations 31 (2), 552-574, 2015
402015
Ecological modeling and pest population management: a possible and necessary connection in a changing world
EABF Lima, CP Ferreira, WAC Godoy
Neotropical Entomology 38, 699-707, 2009
392009
Local and nonlocal phase-field models of tumor growth and invasion due to ECM degradation
M Fritz, EABF Lima, V Nikolić, JT Oden, B Wohlmuth
Mathematical Models and Methods in Applied Sciences 29 (13), 2433-2468, 2019
332019
On the unsteady Darcy–Forchheimer–Brinkman equation in local and nonlocal tumor growth models
M Fritz, EABF Lima, J Tinsley Oden, B Wohlmuth
Mathematical Models and Methods in Applied Sciences 29 (09), 1691-1731, 2019
332019
Quantitative in vivo imaging to enable tumour forecasting and treatment optimization
G Lorenzo, DA Hormuth II, AM Jarrett, EABF Lima, S Subramanian, ...
Cancer, complexity, computation, 55-97, 2022
302022
Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth
EABF Lima, D Faghihi, R Philley, J Yang, J Virostko, CM Phillips, ...
PLoS Computational Biology 17 (11), e1008845, 2021
292021
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