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Ernesto Augusto Bueno da  Fonseca Lima
Ernesto Augusto Bueno da Fonseca Lima
Verified email at ices.utexas.edu
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Cited by
Year
The 2019 mathematical oncology roadmap
RC Rockne, A Hawkins-Daarud, KR Swanson, JP Sluka, JA Glazier, ...
Physical biology 16 (4), 041005, 2019
1722019
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
1102018
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
972016
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
962016
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
922021
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
842019
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
832017
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
762014
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
612020
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
522020
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
412019
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
372021
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
372018
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
372015
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
372009
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
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
322022
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
322019
A coupled mass transport and deformation theory of multi-constituent tumor growth
D Faghihi, X Feng, EABF Lima, JT Oden, TE Yankeelov
Journal of the Mechanics and Physics of Solids 139, 103936, 2020
292020
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
272021
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