John Lagergren

Lagergren, J., Flores, K., Gilman, M., & Tsynkov, S. (2021). Deep Learning Approach to the Detection of Scattering Delay in Radar Images. JOURNAL OF STATISTICAL THEORY AND PRACTICE, 15(1). https://doi.org/10.1007/s42519-020-00149-w

Everett, R., Flores, K. B., Henscheid, N., Lagergren, J., Larripa, K., Li, D., … Rutter, E. M. (2020). [Review of A tutorial review of mathematical techniques for quantifying tumor heterogeneity]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 17(4), 3660–3709. https://doi.org/10.3934/mbe.2020207

Lagergren, J. H., Nardini, J. T., Baker, R. E., Simpson, M. J., & Flores, K. B. (2020). Biologically-informed neural networks guide mechanistic modeling from sparse experimental data. PLOS COMPUTATIONAL BIOLOGY, 16(12). https://doi.org/10.1371/journal.pcbi.1008462

Nardini, J. T., Lagergren, J. H., Hawkins-Daarud, A., Curtin, L., Morris, B., Rutter, E. M., … Flores, K. B. (2020). Learning Equations from Biological Data with Limited Time Samples. BULLETIN OF MATHEMATICAL BIOLOGY, 82(9). https://doi.org/10.1007/s11538-020-00794-z

Lagergren, J. H., Nardini, J. T., Michael Lavigne, G., Rutter, E. M., & Flores, K. B. (2020). Learning partial differential equations for biological transport models from noisy spatio-temporal data. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 476(2234). https://doi.org/10.1098/rspa.2019.0800

Rutter, E. M., Lagergren, J. H., & Flores, K. B. (2018). Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network. MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV, Vol. 11073, pp. 686–694. https://doi.org/10.1007/978-3-030-00937-3_78

Lagergren, J., Reeder, A., Hamilton, F., Smith, R. C., & Flores, K. B. (2018). Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model. Bulletin of Mathematical Biology, 80(6), 1578–1595. https://doi.org/10.1007/s11538-018-0421-7