Author

Simon Weidinger

d-fine (Germany)

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

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adam KianiiD· 1 shared Édouard EvangelistiiD· 1 shared Ella SerpelliD· 1 shared James Sibbit· 1 shared Jill KowaliD· 1 shared Kevin P. TrederiD· 1 shared Laura M. SuziD· 1 shared Martin I. BidartondoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperEcology

Adam KianiORCID

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Author profile →

1 paper

Recent·Most cited

MycorrhizaFinder: an efficient machine learning tool to quantify endomycorrhizal colonisation of real-world roots

Jill Kowal, Robin E Upham, Shaun Buckley, Adam Kiani, Morgan Rickards, Ella Serpell, Martin I. Bidartondo, Édouard Evangelisti, Sebastian Schornack, James Sibbit, Kevin P. Treder, Simon Weidinger, Laura M. Suz

MycorrhizaFinder is a machine learning tool that quantifies endomycorrhizal colonisation in roots, achieving 66% and 57% Macro F1 scores for arbuscular and ericoid mycorrhizal assessments respectively.

bioRxiv · May 25, 2026 · PreprintEcology