Author

Andrew P. French

University of NottinghamORCID 0000-0002-8313-2898Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Darren M. WellsiD· 2 shared Jonathan A. AtkinsoniD· 2 shared Michael P. PoundiD· 2 shared Tony P. PridmoreiD· 2 shared Robail YasrabiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Darren M. WellsORCID

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2 papers

Recent·Most cited

RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures

Robail Yasrab, Jonathan A. Atkinson, Darren M. Wells, Andrew P. French, Tony Pridmore, Michael P. Pound

RootNav 2.0 uses deep learning to automatically extract root architectures from plant images, achieving comparable accuracy to semi-automatic methods with significantly increased speed.

GigaScience · Nov 1, 2019Peer-reviewedBioinformatics

Deep Learning for Multi-task Plant Phenotyping

Michael P. Pound, Jonathan A. Atkinson, Darren M. Wells, Tony P. Pridmore, Andrew P. French

The paper introduces a dataset and a deep learning model for accurate wheat spike and spikelet localization and counting in plant phenotyping.

bioRxiv · Oct 17, 2017 · PreprintPlant Biology