Author

Carrie E. Seltzer

ORCID 0000-0002-2979-6589Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Organism:plant (other)· 2 Approach:transformer / foundation model· 2 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Daijiang LiiD· 2 shared Ellen G. DennyiD· 2 shared Erin L. GradyiD· 2 shared John DeckiD· 2 shared Robert GuralnickiD· 2 shared Russell DinnageiD· 2 shared Nevyn Neal· 1 shared Ramona WallsiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersEcology

Daijiang LiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Turning a new leaf: PhenoVision provides leaf phenology data at the global scale

Erin L. Grady, Ellen G. Denny, Carrie E. Seltzer, John Deck, Daijiang Li, Russell Dinnage, Robert Guralnick

PhenoVision-Leaf uses a Vision Transformer model trained on crowdsourced data to generate global-scale leaf phenology observations from iNaturalist records.

Applications in Plant Sciences · Jun 24, 2026Peer-reviewedEcology

PhenoVision: A framework for automating and delivering research-ready plant phenology data from field images

Russell Dinnage, Erin L. Grady, Nevyn Neal, John Deck, Ellen G. Denny, Ramona Walls, Carrie E. Seltzer, Robert Guralnick, Daijiang Li

PhenoVision automates plant phenology data extraction from field images, achieving high accuracy in detecting flowers and fruits, and expands global phenology data coverage.

Methods in Ecology and Evolution · Jun 19, 2025Peer-reviewedEcology