74 citations · 77 across the 6 of their papers we have counts for
7 papers
Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data
Kyle Nguyen, Erica M. Rutter, Kevin Flores
Reaction diffusion equations have been used to model a wide range of biological phenomenon related to population spread and proliferation from ecology to cancer. It is commonly ass…
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa
John Lagergren, Mirko Pavicic, Hari B. Chhetri +10
Plant phenotyping is typically a time-consuming and expensive endeavor, requiring large groups of researchers to meticulously measure biologically relevant plant traits, and is the…
Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation
John Lagergren, Erica Rutter, Kevin Flores
In this paper we present a methodology that uses convolutional neural networks (CNNs) for segmentation by iteratively growing predicted mask regions in each coordinate direction. T…
Learning Equations from Biological Data with Limited Time Samples
John T. Nardini, John H. Lagergren, Andrea Hawkins-Daarud +5
Equation learning methods present a promising tool to aid scientists in the modeling process for biological data. Previous equation learning studies have demonstrated that these me…
Effects of non-physiological blood pressure artefacts on measures of cerebral autoregulation
Adam Mahdi, Erica Rutter, Stephen J. Payne
Cerebral autoregulation refers to regulation mechanisms that aim to maintain cerebral blood flow approximately constant. It is often assessed by autoregulation index (ARI), which u…
Calibrating a large computer experiment simulating radiative shock hydrodynamics
Robert B. Gramacy, Derek Bingham, James Paul Holloway +5
We consider adapting a canonical computer model calibration apparatus, involving coupled Gaussian process (GP) emulators, to a computer experiment simulating radiative shock hydrod…