Author

Qiuyi Fu

Michigan State UniversityORCID 0000-0002-9525-5182Unclaimed 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 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Organism:plant (other)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Daniel H. ChitwoodiD· 2 shared Luis Antonio Diaz-GarciaiD· 2 shared Adazsofia Lengyel· 1 shared Alejandra BarriosiD· 1 shared Alejandra Rougon‐CardosoiD· 1 shared Alex J. EngelsmaiD· 1 shared Aman Y. HusbandsiD· 1 shared Annabel Romero-HernandeziD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersPlant Biology

Daniel H. ChitwoodORCID

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintApr 16, 2026

The Euler Characteristic Transform Enables Classification of Complex Plant Shapes and Prediction of Leaf Venation from Blade Geometry

Yemeen Ayub, Sarah Scullen, Sarah Percival…·Daniel H. Chitwood

This paper introduces the Euler Characteristic Transform (ECT) for classifying plant shapes and predicting leaf venation from blade geometry using deep learning.

DOI 10.64898/2026.04.13.718293

plant (other)imaging

Plant BiologyPlants People PlanetPeer-reviewedAug 20, 2024

A high resolution model of the grapevine leaf morphospace predicts synthetic leaves

Daniel H. Chitwood, Efrain Torres‐Lomas, Ebi S. Hadi…·Luis Antonio Diaz-Garcia

The paper develops a high-resolution morphospace model of grapevine leaves to predict synthetic leaves and improve classification accuracy.

9 citations

virusspatial transcriptomics