متابعة
Ernesto Augusto Bueno da Fonseca Lima
Ernesto Augusto Bueno da Fonseca Lima
University of Texas at Austin
بريد إلكتروني تم التحقق منه على ices.utexas.edu
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
The 2019 mathematical oncology roadmap‏
RC Rockne, A Hawkins-Daarud, KR Swanson, JP Sluka, JA Glazier, ...‏
Physical biology 16 (4), 041005, 2019‏
1992019
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
1482018
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
1142021
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
1112019
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
1032016
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
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
902017
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
822014
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
742020
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
692022
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
642020
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
502021
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
452019
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
432018
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
372019
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
352022
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
352021
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
342019
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مقالات 1–20