David A. Hormuth, II
Title
Cited by
Cited by
Year
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
1322013
The 2019 mathematical oncology roadmap
RC Rockne, A Hawkins-Daarud, KR Swanson, JP Sluka, JA Glazier, ...
Physical biology 16 (4), 041005, 2019
762019
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
632016
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
542017
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
532017
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
44*2015
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
372018
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
252018
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), 1-12, 2019
242019
Mechanically coupled reaction-diffusion model to predict glioma growth: methodological details
DA Hormuth, SLE II, JA Weis, MI Miga, TE Yankeelov
Methods in molecular biology (Clifton, NJ) 1711, 225, 2018
222018
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
212018
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 (7), 1539-1551, 2019
202019
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
192019
A multi-institutional comparison of dynamic contrast-enhanced magnetic resonance imaging parameter calculations
J Head, NRMRID Cooperative
Scientific reports 7, 2017
192017
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
182019
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
162019
Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling
DA Hormuth, AM Jarrett, TE Yankeelov
Radiation Oncology 15 (1), 1-14, 2020
152020
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
132020
A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats
DA Hormuth II, JT Skinner, MD Does, TE Yankeelov
Magnetic resonance imaging 32 (4), 397-401, 2014
132014
Patient-specific characterization of breast cancer hemodynamics using image-guided computational fluid dynamics
C Wu, DA Hormuth, TA Oliver, F Pineda, G Lorenzo, GS Karczmar, ...
IEEE transactions on medical imaging 39 (9), 2760-2771, 2020
82020
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Articles 1–20