Prediction and computer model calibration using outputs from multifidelity simulators J Goh, D Bingham, JP Holloway, MJ Grosskopf, CC Kuranz, E Rutter Technometrics 55 (4), 501-512, 2013 | 113 | 2013 |
Learning partial differential equations for biological transport models from noisy spatio-temporal data JH Lagergren, JT Nardini, G Michael Lavigne, EM Rutter, KB Flores Proceedings of the Royal Society A 476 (2234), 20190800, 2020 | 94 | 2020 |
Calibrating a large computer experiment simulating radiative shock hydrodynamics RB Gramacy, D Bingham, JP Holloway, MJ Grosskopf, CC Kuranz, ... The Annals of Applied Statistics 9 (3), 1141-1168, 2015 | 89 | 2015 |
Mathematical analysis of glioma growth in a murine model EM Rutter, TL Stepien, BJ Anderies, JD Plasencia, EC Woolf, AC Scheck, ... Scientific reports 7 (1), 2508, 2017 | 55 | 2017 |
Radiative effects in radiative shocks in shock tubes RP Drake, FW Doss, RG McClarren, ML Adams, N Amato, D Bingham, ... High Energy Density Physics 7 (3), 130-140, 2011 | 50 | 2011 |
Mathematically modeling the biological properties of gliomas: A review NL Martirosyan, EM Rutter, WL Ramey, EJ Kostelich, Y Kuang, MC Preul Mathematical Biosciences & Engineering 12 (4), 879-905, 2015 | 43 | 2015 |
A data-motivated density-dependent diffusion model of in vitro glioblastoma growth TL Stepien, EM Rutter, Y Kuang Mathematical Biosciences & Engineering 12 (6), 1157-1172, 2015 | 42 | 2015 |
Global Dynamics of A Model of Joint Hormone Treatment with Dendritic Cell Vaccine for Prostate Cancer EM Rutter, Y Kuang Discrete and Continuous Dynamical Systems-Series B 22 (3), 1001-1021, 2017 | 40 | 2017 |
Traveling Waves of a Go-or-Grow Model of Glioma Growth TL Stepien, EM Rutter, Y Kuang SIAM Journal on Applied Mathematics 78 (3), 1778-1801, 2018 | 37 | 2018 |
A physics informed emulator for laser-driven radiating shock simulations RG McClarren, D Ryu, RP Drake, M Grosskopf, D Bingham, CC Chou, ... Reliability Engineering & System Safety 96 (9), 1194-1207, 2011 | 30 | 2011 |
Learning equations from biological data with limited time samples JT Nardini, JH Lagergren, A Hawkins-Daarud, L Curtin, B Morris, ... Bulletin of Mathematical Biology 82 (9), 1-33, 2020 | 29 | 2020 |
A calibration and data assimilation method using the Bayesian MARS emulator HF Stripling, RG McClarren, CC Kuranz, MJ Grosskopf, E Rutter, ... Annals of Nuclear Energy 52, 103-112, 2013 | 25 | 2013 |
Spline-based emulators for radiative shock experiments with measurement error A Chakraborty, BK Mallick, RG Mcclarren, CC Kuranz, D Bingham, ... Journal of the American Statistical Association 108 (502), 411-428, 2013 | 23 | 2013 |
The Prohorov Metric Framework and aggregate data inverse problems for random PDEs HT Banks, KB Flores, IG Rosen, EM Rutter, M Sirlanci, WC Thompson Commun. Appl. Anal 22, 415-446, 2018 | 21 | 2018 |
Stoichiometric Ecotoxicology for a Multisubstance World A Peace, PC Frost, ND Wagner, M Danger, C Accolla, P Antczak, ... BioScience 71 (2), 132-147, 2021 | 16 | 2021 |
Automated object tracing for biomedical image segmentation using a deep convolutional neural network EM Rutter, JH Lagergren, KB Flores Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 14 | 2018 |
A tutorial review of mathematical techniques for quantifying tumor heterogeneity R Everett, K B Flores, N Henscheid, J Lagergren, K Larripa, D Li, ... Mathematical Biosciences and Engineering 17 (4), 2020 | 12 | 2020 |
A convolutional neural network method for boundary optimization enables few-shot learning for biomedical image segmentation EM Rutter, JH Lagergren, KB Flores Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 10 | 2019 |
Emulation of numerical models with over-specified basis functions A Chakraborty, D Bingham, SS Dhavala, CC Kuranz, RP Drake, ... Technometrics 59 (2), 153-164, 2017 | 10 | 2017 |
Estimating intratumoral heterogeneity from spatiotemporal data EM Rutter, HT Banks, KB Flores Journal of Mathematical Biology 77 (6), 1999-2022, 2018 | 9 | 2018 |