Author

E. Theobald

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 1

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A. John· 1 shared A. Tan· 1 shared J. HilleRisLambers· 1 shared N. Cristea· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperEcology

A. John

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1 paper

Recent·Most cited

Using photographs and deep neural networks to understand flowering phenology and diversity in mountain meadows

A. John, E. Theobald, N. Cristea, A. Tan, J. HilleRisLambers

This study uses deep learning on crowd-sourced images to quantify flowering species richness in alpine meadows, finding higher richness near the tree line and demonstrating the effectiveness of Mask R-CNN for flower detection.

bioRxiv · Mar 28, 2023Ecology