David A. Hormuth, II
Cited by
Cited by
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
The 2019 mathematical oncology roadmap
RC Rockne, A Hawkins-Daarud, KR Swanson, JP Sluka, JA Glazier, ...
Physical biology 16 (4), 041005, 2019
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
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
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
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
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
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
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
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
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
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
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
A multi-institutional comparison of dynamic contrast-enhanced magnetic resonance imaging parameter calculations
J Head, NRMRID Cooperative
Scientific reports 7, 2017
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
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
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20