John H. Lagergren

According to our database, John H. Lagergren authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa.

John H. Lagergren, Mirko Pavicic, Hari B. Chhetri, Larry M. York, P. Doug Hyatt, David Kainer, Erica M. Rutter, Kevin B. Flores, Gail Taylor, Daniel A. Jacobson, Jared Streich

CoRR, 2023

Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution.

Jean Merlet, John H. Lagergren, Verónica Melesse Vergara, Mikaela Cashman, Christopher E. Bradburne, Raina Plowright, Emily Gurley, Wayne Joubert, Daniel A. Jacobson

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress.

Mikaela Cashman, Verónica G. Melesse Vergara, John H. Lagergren, Matthew Lane, Jean Merlet, Mikaela Atkinson, Jared Streich, Christopher E. Bradburne, Raina Plowright, Wayne Joubert, Daniel A. Jacobson

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

2020

Biologically-informed neural networks guide mechanistic modeling from sparse experimental data.

John H. Lagergren, John T. Nardini, Ruth E. Baker, Matthew J. Simpson, Kevin B. Flores

PLoS Comput. Biol., 2020

Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation.

John H. Lagergren, Erica Rutter, Kevin B. Flores

CoRR, 2020

A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract).

Thomas Paniagua, John H. Lagergren, Greg Foderaro

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation.

Erica M. Rutter, John H. Lagergren, Kevin B. Flores

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018

Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network.

Erica M. Rutter, John H. Lagergren, Kevin B. Flores

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018