Author

P. E. Meyer

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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Plant Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1

Frequent Co-Authors

G. Lobet· 2 shared M. Noll· 2 shared C. Perilleux· 1 shared D. M. Wells· 1 shared I. Koevoets· 1 shared J. A. Atkinson· 1 shared L. Pages· 1 shared M. Griffiths· 1 shared

Activity by Year

2016-2017 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersPlant Biology

G. Lobet

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2 papers

Recent·Most cited

Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies

J. A. Atkinson, G. Lobet, M. Noll, P. E. Meyer, M. Griffiths, D. M. Wells

The paper combines semi-automated image analysis with machine learning to accelerate genetic studies of plant root systems, reducing analysis time by 73% and identifying quantitative trait loci.

bioRxiv · Jun 20, 2017Plant Biology

Using a structural root system model to evaluate and improve the accuracy of root image analysis pipelines.

G. Lobet, I. Koevoets, M. Noll, P. E. Meyer, P. Tocquin, L. Pages, C. Perilleux

The paper evaluates root image analysis pipelines using a synthetic ground-truth dataset and highlights the importance of calibration for accurate results.

bioRxiv · Sep 14, 2016Plant Biology