Search Results - "Rutter, Erica"

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  1. 1

    Traveling wave speed and profile of a “go or grow” glioblastoma multiforme model by Tursynkozha, Aisha, Kashkynbayev, Ardak, Shupeyeva, Bibinur, Rutter, Erica M., Kuang, Yang

    “…Glioblastoma multiforme (GBM) is a fast-growing and deadly brain tumor due to its ability to aggressively invade the nearby brain tissue. A host of…”
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  2. 2

    Learning partial differential equations for biological transport models from noisy spatio-temporal data by Lagergren, John H, Nardini, John T, Michael Lavigne, G, Rutter, Erica M, Flores, Kevin B

    “…We investigate methods for learning partial differential equation (PDE) models from spatio-temporal data under biologically realistic levels and forms of…”
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  3. 3

    Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data by Nguyen, Kyle, Rutter, Erica M., Flores, Kevin B.

    Published in Bulletin of mathematical biology (01-07-2023)
    “…Reaction-diffusion equations have been used to model a wide range of biological phenomenon related to population spread and proliferation from ecology to…”
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  4. 4

    Modeling and Global Sensitivity Analysis of Strategies to Mitigate Covid-19 Transmission on a Structured College Campus by Zhao, Lihong, Santiago, Fabian, Rutter, Erica M., Khatri, Shilpa, Sindi, Suzanne S.

    Published in Bulletin of mathematical biology (01-01-2023)
    “…In response to the COVID-19 pandemic, many higher educational institutions moved their courses on-line in hopes of slowing disease spread. The advent of…”
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  5. 5

    Learning Equations from Biological Data with Limited Time Samples by Nardini, John T., Lagergren, John H., Hawkins-Daarud, Andrea, Curtin, Lee, Morris, Bethan, Rutter, Erica M., Swanson, Kristin R., Flores, Kevin B.

    Published in Bulletin of mathematical biology (09-09-2020)
    “…Equation learning methods present a promising tool to aid scientists in the modeling process for biological data. Previous equation learning studies have…”
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  7. 7

    Mathematical Analysis of Glioma Growth in a Murine Model by Rutter, Erica M., Stepien, Tracy L., Anderies, Barrett J., Plasencia, Jonathan D., Woolf, Eric C., Scheck, Adrienne C., Turner, Gregory H., Liu, Qingwei, Frakes, David, Kodibagkar, Vikram, Kuang, Yang, Preul, Mark C., Kostelich, Eric J.

    Published in Scientific reports (31-05-2017)
    “…Five immunocompetent C57BL/6-cBrd/cBrd/Cr (albino C57BL/6) mice were injected with GL261-luc2 cells, a cell line sharing characteristics of human glioblastoma…”
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  8. 8

    Simple multi-scale modeling of the transmission dynamics of the 1905 plague epidemic in Bombay by Pell, Bruce, Phan, Tin, Rutter, Erica M., Chowell, Gerardo, Kuang, Yang

    Published in Mathematical biosciences (01-07-2018)
    “…•We derive a class of logistic models in the context of population contact structure and human behavioral change. We show numerically that these models are…”
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  9. 9

    Effects of non-physiological blood pressure artefacts on cerebral autoregulation by Mahdi, Adam, Rutter, Erica M, Payne, Stephen J

    Published in Medical engineering & physics (01-09-2017)
    “…•Non-physiological blood pressure artefacts affect ARI significantly.•Square wave and saturation artefacts cause ARI to diverge.•The pulse pressure reduction…”
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  10. 10

    A data-motivated density-dependent diffusion model of in vitro glioblastoma growth by Stepien, Tracy L, Rutter, Erica M, Kuang, Yang

    “…Glioblastoma multiforme is an aggressive brain cancer that is extremely fatal. It is characterized by both proliferation and large amounts of migration, which…”
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  11. 11

    A tutorial review of mathematical techniques for quantifying tumor heterogeneity by Everett, Rebecca, B. Flores, Kevin, Henscheid, Nick, Lagergren, John, Larripa, Kamila, Li, Ding, T. Nardini, John, T. T. Nguyen, Phuong, Bruce Pitman, E., M. Rutter, Erica

    “…Intra-tumor and inter-patient heterogeneity are two challenges in developing mathematical models for precision medicine diagnostics. Here we review several…”
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  12. 12

    Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse Regression by Rutter, Erica M., Langdale, Christopher L., Hokanson, James A., Hamilton, Franz, Tran, Hien, Grill, Warren M., Flores, Kevin B.

    “…Bladder overactivity and incontinence and dysfunction can be mitigated by electrical stimulation of the pudendal nerve applied at the onset of a bladder…”
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  13. 13

    Mathematically modeling the biological properties of gliomas: A review by Martirosyan, Nikolay L, Rutter, Erica M, Ramey, Wyatt L, Kostelich, Eric J, Kuang, Yang, Preul, Mark C

    “…Although mathematical modeling is a mainstay for industrial and many scientific studies, such approaches have found little application in neurosurgery…”
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  14. 14

    Continuous Structured Population Models for Daphnia magna by Rutter, Erica M., Banks, H. T., LeBlanc, Gerald A., Flores, Kevin B.

    Published in Bulletin of mathematical biology (01-11-2017)
    “…We continue our efforts in modeling Daphnia magna , a species of water flea, by proposing a continuously structured population model incorporating…”
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  15. 15

    Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa by Lagergren, John, Pavicic, Mirko, Chhetri, Hari B, York, Larry M, Hyatt, Doug, Kainer, David, Rutter, Erica M, Flores, Kevin, Bailey-Bale, Jack, Klein, Marie, Taylor, Gail, Jacobson, Daniel, Streich, Jared

    Published in Plant phenomics (2023)
    “…Plant phenotyping is typically a time-consuming and expensive endeavor, requiring large groups of researchers to meticulously measure biologically relevant…”
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  16. 16

    Spline-Based Emulators for Radiative Shock Experiments With Measurement Error by Chakraborty, Avishek, Mallick, Bani K, Mcclarren, Ryan G, Kuranz, Carolyn C, Bingham, Derek, Grosskopf, Michael J, Rutter, Erica M, Stripling, Hayes F, Drake, R. Paul

    “…Radiation hydrodynamics and radiative shocks are of fundamental interest in the high-energy-density physics research due to their importance in understanding…”
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  17. 17

    Emulation of Numerical Models With Over-Specified Basis Functions by Chakraborty, Avishek, Bingham, Derek, Dhavala, Soma S., Kuranz, Carolyn C., Drake, R. Paul, Grosskopf, Michael J., Rutter, Erica M., Torralva, Ben R., Holloway, James P., McClarren, Ryan G., Mallick, Bani K.

    Published in Technometrics (03-04-2017)
    “…Mathematical models are frequently used to explore physical systems, but can be computationally expensive to evaluate. In such settings, an emulator is used as…”
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  18. 18

    TRAVELING WAVES OF A GO-OR-GROW MODEL OF GLIOMA GROWTH by STEPIEN, TRACY L., RUTTER, ERICA M., KUANG, YANG

    Published in SIAM journal on applied mathematics (01-01-2018)
    “…Glioblastoma multiforme is a deadly brain cancer in which tumor cells excessively proliferate and migrate. The first mathematical models of the spread of…”
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  19. 19

    Multitask neural networks for predicting bladder pressure with time series data by Warrier, Sangeeta, Rutter, Erica M., Flores, Kevin B.

    Published in Biomedical signal processing and control (01-02-2022)
    “…•Multitask learning (MTL) is used with neural networks to model population time series data.•MTL improves prediction of bladder pressure from EUS EMG data.•MTL…”
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  20. 20

    Learning partial differential equations for biological transport models from noisy spatio-temporal data by Lagergren, John H., Nardini, John T., Lavigne, G. Michael, Rutter, Erica M., Flores, Kevin B.

    “…We investigate methods for learning partial differential equation (PDE) models from spatio-temporal data under biologically realistic levels and forms of…”
    Get full text
    Journal Article