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Erica M Rutter

Showing results (11-20 of 18) with videos related to

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Proceedings. Mathematical, Physical, and Engineering Sciences|March 24, 2020
Learning partial differential equations for biological transport models from noisy spatio-temporal dataJohn H Lagergren, John T Nardini, G Michael Lavigne, et al.
Plos Computational Biology|April 22, 2026
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning for biological systemsMaria-Veronica Ciocanel, John T Nardini, Kevin B Flores, et al.
Mathematical Biosciences and Engineering : MBE|May 15, 2015
Mathematically modeling the biological properties of gliomas: A reviewNikolay L Martirosyan, Erica M Rutter, Wyatt L Ramey, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 14, 2018
Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse RegressionErica M Rutter, Christopher L Langdale, James A Hokanson, et al.
Bulletin of Mathematical Biology|September 10, 2020
Learning Equations from Biological Data with Limited Time SamplesJohn T Nardini, John H Lagergren, Andrea Hawkins-Daarud, et al.
Mathematical Biosciences and Engineering : MBE|September 29, 2020
A tutorial review of mathematical techniques for quantifying tumor heterogeneityRebecca Everett, Kevin B Flores, Nick Henscheid, et al.
Plant Phenomics (Washington, D.C.)|July 31, 2023
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in <i>Populus trichocarpa</i>John Lagergren, Mirko Pavicic, Hari B Chhetri, et al.
Scientific Reports|June 2, 2017
Mathematical Analysis of Glioma Growth in a Murine ModelErica M Rutter, Tracy L Stepien, Barrett J Anderies, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Proceedings. Mathematical, Physical, and Engineering Sciences|March 24, 2020
Learning partial differential equations for biological transport models from noisy spatio-temporal dataJohn H Lagergren, John T Nardini, G Michael Lavigne, et al.
Plos Computational Biology|April 22, 2026
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning for biological systemsMaria-Veronica Ciocanel, John T Nardini, Kevin B Flores, et al.
Mathematical Biosciences and Engineering : MBE|May 15, 2015
Mathematically modeling the biological properties of gliomas: A reviewNikolay L Martirosyan, Erica M Rutter, Wyatt L Ramey, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 14, 2018
Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse RegressionErica M Rutter, Christopher L Langdale, James A Hokanson, et al.
Bulletin of Mathematical Biology|September 10, 2020
Learning Equations from Biological Data with Limited Time SamplesJohn T Nardini, John H Lagergren, Andrea Hawkins-Daarud, et al.
Mathematical Biosciences and Engineering : MBE|September 29, 2020
A tutorial review of mathematical techniques for quantifying tumor heterogeneityRebecca Everett, Kevin B Flores, Nick Henscheid, et al.
Plant Phenomics (Washington, D.C.)|July 31, 2023
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in <i>Populus trichocarpa</i>John Lagergren, Mirko Pavicic, Hari B Chhetri, et al.
Scientific Reports|June 2, 2017
Mathematical Analysis of Glioma Growth in a Murine ModelErica M Rutter, Tracy L Stepien, Barrett J Anderies, et al.
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