John H. Lagergren

11 papers A* 1A 1Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. SC Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Feiyi Wang, Xiao Wang
2025	J	`jnl`	Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. CoRR Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Yi-Fei Wang, Xiao Wang
2025	J	`jnl`	FOCUS: Fused Observation of Channels for Unveiling Spectra. CoRR Xi Xiao, Aristeidis Tsaris, Anika Tabassum, John H. Lagergren, Larry M. York, Tianyang Wang, Xiao Wang
2023	—	`conf`	Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution. PASC Jean Merlet, John H. Lagergren, Verónica Melesse Vergara, Mikaela Cashman, Christopher E. Bradburne, Raina Plowright, Emily Gurley, Wayne Joubert, Daniel A. Jacobson
2023	J	`jnl`	Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa. CoRR 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
2023	—	`conf`	Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress. PASC 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
2020	A*	`conf`	A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract). AAAI Thomas Paniagua, John H. Lagergren, Greg Foderaro
2020	J	`jnl`	Biologically-informed neural networks guide mechanistic modeling from sparse experimental data. PLoS Comput. Biol. John H. Lagergren, John T. Nardini, Ruth E. Baker, Matthew J. Simpson, Kevin B. Flores
2020	J	`jnl`	Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation. CoRR John H. Lagergren, Erica Rutter, Kevin B. Flores
2019	—	`conf`	A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation. DART/MIL3ID@MICCAI Erica M. Rutter, John H. Lagergren, Kevin B. Flores
2018	—	`conf`	Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network. MICCAI (4) Erica M. Rutter, John H. Lagergren, Kevin B. Flores