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David A. Hormuth, II
David A. Hormuth, II
Research Scientist, The University of Texas at Austin
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Clinically relevant modeling of tumor growth and treatment response
TE Yankeelov, N Atuegwu, D Hormuth, JA Weis, SL Barnes, MI Miga, ...
Science translational medicine 5 (187), 187ps9-187ps9, 2013
1882013
The 2019 mathematical oncology roadmap
RC Rockne, A Hawkins-Daarud, KR Swanson, JP Sluka, JA Glazier, ...
Physical biology 16 (4), 041005, 2019
1692019
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
1072018
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
952016
A mechanically coupled reaction–diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth
DA Hormuth, JA Weis, SL Barnes, MI Miga, EC Rericha, V Quaranta, ...
Journal of The Royal Society Interface 14 (128), 20161010, 2017
842017
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
822017
Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data
DA Hormuth II, JA Weis, SL Barnes, MI Miga, EC Rericha, V Quaranta, ...
Physical biology 12 (4), 046006, 2015
69*2015
Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors
C Wu, F Pineda, DA Hormuth, GS Karczmar, TE Yankeelov
Magnetic resonance in medicine 81 (3), 2147-2160, 2019
622019
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
552020
Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory ¡¦
AM Jarrett, DA Hormuth, SL Barnes, X Feng, W Huang, TE Yankeelov
Physics in Medicine & Biology 63 (10), 105015, 2018
532018
Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation
DA Hormuth, KA Al Feghali, AM Elliott, TE Yankeelov, C Chung
Scientific reports 11 (1), 8520, 2021
452021
Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data
AM Jarrett, DA Hormuth II, C Wu, AS Kazerouni, DA Ekrut, J Virostko, ...
Neoplasia 22 (12), 820-830, 2020
442020
Experimentally-driven mathematical modeling to improve combination targeted and cytotoxic therapy for HER2+ breast cancer
AM Jarrett, A Shah, MJ Bloom, MT McKenna, DA Hormuth, TE Yankeelov, ...
Scientific reports 9 (1), 12830, 2019
442019
Mechanically coupled reaction-diffusion model to predict glioma growth: methodological details
DA Hormuth, SL Eldridge, JA Weis, MI Miga, TE Yankeelov
Cancer Systems Biology: Methods and Protocols, 225-241, 2018
432018
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
Calibrating a predictive model of tumor growth and angiogenesis with quantitative MRI
DA Hormuth, AM Jarrett, X Feng, TE Yankeelov
Annals of biomedical engineering 47, 1539-1551, 2019
382019
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
Translating preclinical MRI methods to clinical oncology
DA Hormuth, AG Sorace, J Virostko, RG Abramson, ZM Bhujwalla, ...
Journal of Magnetic Resonance Imaging 50 (5), 1377-1392, 2019
362019
Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling
DA Hormuth, AM Jarrett, TE Yankeelov
Radiation Oncology 15, 1-14, 2020
342020
Biophysical modeling of in vivo glioma response after whole-brain radiation therapy in a murine model of brain cancer
DA Hormuth II, JA Weis, SL Barnes, MI Miga, V Quaranta, TE Yankeelov
International Journal of Radiation Oncology* Biology* Physics 100 (5), 1270-1279, 2018
342018
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