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John Lagergren
John Lagergren
R&D Associate Staff Member, Oak Ridge National Laboratory
Verified email at ornl.gov - Homepage
Title
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Cited by
Year
Biologically-informed neural networks guide mechanistic modeling from sparse experimental data
JH Lagergren, JT Nardini, RE Baker, MJ Simpson, KB Flores
PLoS computational biology 16 (12), e1008462, 2020
832020
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
752020
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, 1-33, 2020
252020
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
142018
Forecasting and uncertainty quantification using a hybrid of mechanistic and non-mechanistic models for an age-structured population model
J Lagergren, A Reeder, F Hamilton, RC Smith, KB Flores
Bulletin of mathematical biology 80, 1578-1595, 2018
122018
Identification of novel, replicable genetic risk loci for suicidal thoughts and behaviors among US military veterans
NA Kimbrel, AE Ashley-Koch, XJ Qin, JH Lindquist, ME Garrett, ...
JAMA psychiatry 80 (2), 135-145, 2023
112023
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
102019
Climatic clustering and longitudinal analysis with impacts on food, bioenergy, and pandemics
J Lagergren, M Cashman, VGM Vergara, PR Eller, JGFM Gazolla, ...
Phytobiomes Journal 7 (1), 65-77, 2023
72023
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
72020
Region growing with convolutional neural networks for biomedical image segmentation
J Lagergren, E Rutter, K Flores
arXiv preprint arXiv:2009.11717, 2020
42020
LeDaphNet: an automated assessment of Daphnia magna populations using digital imaging and machine learning
JH Lagergren, GS Martin, EN Collins, HT Banks, GA LeBlanc, K Flores, ...
North Carolina State University. Center for Research in Scientific Computation, 2017
22017
Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts
M Pavicic, AM Walker, KA Sullivan, J Lagergren, A Cliff, J Romero, ...
Frontiers in psychiatry 14, 1178633, 2023
12023
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa
J Lagergren, M Pavicic, HB Chhetri, LM York, D Hyatt, D Kainer, ...
Plant Phenomics 5, 0072, 2023
12023
Few-shot leaf segmentation
J Lagergren, M Pavicic, HB Chhetri, LM York, D Hyatt, D Kainer, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2023
12023
Supporting information for" Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa"
J Lagergren, M Pavicic, H Chhetri, L York, D Hyatt, D Kainer, EM Rutter, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States). Oak Ridge …, 2023
12023
Using Explainable-AI to Find Geospatial Environmental and Sociodemographic Predictors of Suicide Attempts
M Pavicic, AM Walker, KA Sullivan, J Lagergren, A Cliff, J Romero, ...
medRxiv, 2022.04. 26.22274333, 2022
12022
Supporting data for climatic clustering and longitudinal analysis with impacts on food, bioenergy, and pandemics
J Lagergren, M Cashman, V Melesse Vergara, P Eller, J Gazolla, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States). Oak Ridge …, 2021
12021
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract)
T Paniagua, J Lagergren, G Foderaro
Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13889 …, 2020
12020
Data from: Environmental and ecological signals predict periods of nutritional stress for Eastern Australian flying fox populations
P Eby, J Lagergren, M Ruiz-Aravena, DJ Becker, W Madden, ...
2024
Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution
J Merlet, J Lagergren, V Melesse Vergara, M Cashman, C Bradburne, ...
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-7, 2023
2023
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