| General diffuse-interface theories and an approach to predictive tumor growth modeling JT Oden, A Hawkins, S Prudhomme Mathematical Models and Methods in Applied Sciences 20 (03), 477-517, 2010 | 254 | 2010 |
| The biology and mathematical modelling of glioma invasion: a review JCL Alfonso, K Talkenberger, M Seifert, B Klink, A Hawkins-Daarud, ... Journal of the Royal Society Interface 14 (136), 20170490, 2017 | 234 | 2017 |
| Numerical simulation of a thermodynamically consistent four‐species tumor growth model A Hawkins‐Daarud, KG van der Zee, J Tinsley Oden International journal for numerical methods in biomedical engineering 28 (1 …, 2012 | 212 | 2012 |
| The 2019 mathematical oncology roadmap RC Rockne, A Hawkins-Daarud, KR Swanson, JP Sluka, JA Glazier, ... Physical biology 16 (4), 041005, 2019 | 196 | 2019 |
| Bayesian calibration, validation, and uncertainty quantification of diffuse interface models of tumor growth A Hawkins-Daarud, S Prudhomme, KG van der Zee, JT Oden Journal of mathematical biology 67, 1457-1485, 2013 | 132 | 2013 |
| Imaging of intratumoral heterogeneity in high-grade glioma LS Hu, A Hawkins-Daarud, L Wang, J Li, KR Swanson Cancer letters 477, 97-106, 2020 | 120 | 2020 |
| A patient-specific computational model of hypoxia-modulated radiation resistance in glioblastoma using 18F-FMISO-PET RC Rockne, AD Trister, J Jacobs, AJ Hawkins-Daarud, ML Neal, ... Journal of the Royal Society Interface 12 (103), 20141174, 2015 | 114 | 2015 |
| Patient-specific mathematical neuro-oncology: using a simple proliferation and invasion tumor model to inform clinical practice PR Jackson, J Juliano, A Hawkins-Daarud, RC Rockne, KR Swanson Bulletin of mathematical biology 77 (5), 846-856, 2015 | 113 | 2015 |
| From patient-specific mathematical neuro-oncology to precision medicine AL Baldock, RC Rockne, AD Boone, ML Neal, A Hawkins-Daarud, ... Frontiers in oncology 3, 62, 2013 | 107 | 2013 |
| Gene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patients JE Adair, SK Johnston, MM Mrugala, BC Beard, LA Guyman, AL Baldock, ... The Journal of clinical investigation 124 (9), 4082-4092, 2014 | 101 | 2014 |
| Modeling tumor-associated edema in gliomas during anti-angiogenic therapy and its impact on imageable tumor A Hawkins-Daarud, RC Rockne, ARA Anderson, KR Swanson Frontiers in oncology 3, 66, 2013 | 100 | 2013 |
| Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI N Gaw, A Hawkins-Daarud, LS Hu, H Yoon, L Wang, Y Xu, PR Jackson, ... Scientific reports 9 (1), 10063, 2019 | 92 | 2019 |
| Selection and assessment of phenomenological models of tumor growth JT Oden, EE Prudencio, A Hawkins-Daarud Mathematical Models and Methods in Applied Sciences 23 (07), 1309-1338, 2013 | 91 | 2013 |
| Nanoshell-mediated laser surgery simulation for prostate cancer treatment Y Feng, D Fuentes, A Hawkins, J Bass, MN Rylander, A Elliott, A Shetty, ... Engineering with computers 25, 3-13, 2009 | 86 | 2009 |
| Analysis of glioblastoma tumor coverage by oncolytic virus-loaded neural stem cells using MRI-based tracking and histological reconstruction RA Morshed, M Gutova, J Juliano, ME Barish, A Hawkins-Daarud, ... Cancer gene therapy 22 (1), 55-61, 2015 | 59 | 2015 |
| Goal‐oriented error estimation for Cahn–Hilliard models of binary phase transition KG Van Der Zee, J Tinsley Oden, S Prudhomme, A Hawkins‐Daarud Numerical Methods for Partial Differential Equations 27 (1), 160-196, 2011 | 50 | 2011 |
| Accurate patient-specific machine learning models of glioblastoma invasion using transfer learning LS Hu, H Yoon, JM Eschbacher, LC Baxter, AC Dueck, A Nespodzany, ... American Journal of Neuroradiology 40 (3), 418-425, 2019 | 43 | 2019 |
| From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response JA Gallaher, SC Massey, A Hawkins-Daarud, SS Noticewala, RC Rockne, ... PLoS computational biology 16 (2), e1007672, 2020 | 36 | 2020 |
| Quantifying uncertainty and robustness in a biomathematical model–based patient-specific response metric for glioblastoma A Hawkins-Daarud, SK Johnston, KR Swanson JCO clinical cancer informatics 3, 1-8, 2019 | 36 | 2019 |
| Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma LS Hu, L Wang, A Hawkins-Daarud, JM Eschbacher, KW Singleton, ... Scientific reports 11 (1), 3932, 2021 | 29 | 2021 |
