John H. Lagergren

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Experimental Data

Image Segmentation

Top Venues

DART/MIL3ID@MICCAI

Publications

Jean Merlet, John H. Lagergren, Verónica Melesse Vergara, Mikaela Cashman, Christopher E. Bradburne, Raina Plowright, Emily Gurley, Wayne Joubert, Daniel A. Jacobson
Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution. PASC (2023)
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
Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress. PASC (2023)
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
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa. CoRR (2023)
John H. Lagergren, Erica Rutter, Kevin B. Flores
Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation. CoRR (2020)
John H. Lagergren, John T. Nardini, Ruth E. Baker, Matthew J. Simpson, Kevin B. Flores
Biologically-informed neural networks guide mechanistic modeling from sparse experimental data. PLoS Comput. Biol. 16 (12) (2020)
Erica M. Rutter, John H. Lagergren, Kevin B. Flores
A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation. DART/MIL3ID@MICCAI (2019)
Erica M. Rutter, John H. Lagergren, Kevin B. Flores
Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network. MICCAI (4) (2018)