Author

S. Hindmarsh

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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Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

A. Strange· 1 shared A. Weston· 1 shared C. J. Peddie· 1 shared C. Lintott· 1 shared H. Songhurst· 1 shared H. Spiers· 1 shared J. de Folter· 1 shared L. M. Collinson· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

A. Strange

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1 paper

Recent·Most cited

Citizen science, cells and CNNs - deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations

H. Spiers, H. Songhurst, L. Nightingale, J. de Folter, R. Hutchings, C. J. Peddie, A. Weston, A. Strange, S. Hindmarsh, C. Lintott, L. M. Collinson, M. L. Jones

This paper trains a deep learning model to automatically segment the nuclear envelope in electron microscopy data using volunteer annotations from a citizen science project.

bioRxiv · Jul 28, 2020Cell Biology