Author

Shanda Liu

Heinrich Heine University DüsseldorfORCID 0009-0004-6721-5687Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Agatha Alexandra WallaiD· 1 shared Benjamin Prud’hommeiD· 1 shared Benoît AigouyiD· 1 shared Claudio R. CortésiD· 1 shared Einar Baldvin HaraldssoniD· 1 shared Gabriele BuchmanniD· 1 shared Maria von KorffiD· 1 shared Rebekka SchülleriD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperPlant Biology

Agatha Alexandra WallaORCID

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintOct 31, 2025

Golden Promise-rapid, a fast-cycling barley genotype with high transformation efficiency

Gabriele Buchmann, Einar Baldvin Haraldsson, Rebekka Schüller…·Shanda Liu

The paper develops a fast-cycling barley genotype, GP-rapid, with reduced generation time and high transformation efficiency for functional genomic studies.

2 citations

experimental assay

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BioinformaticsDevelopmentPeer-reviewedJan 1, 2020

EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning

Benoît Aigouy, Claudio R. Cortés, Shanda Liu, Benjamin Prud’homme

EPySeg provides a coding-free deep learning tool for automated epithelial tissue segmentation, improving efficiency and reducing manual effort in developmental biology research.

54 citations

imagingdeep learning

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