Author

Thubeena Manickavasagar

King's College LondonORCID 0000-0002-2399-0073Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Carolyn HorstiD· 1 shared Daniel Johnathan HughesiD· 1 shared Gary CookiD· 1 shared James Cusack· 1 shared Robert John O’SheaiD· 1 shared Sophia TsokaiD· 1 shared Vicky GohiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Carolyn HorstORCID

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1 paper

Recent·Most cited

Weakly supervised Unet: an image classifier which learns to explain itself

Robert John O’Shea, Carolyn Horst, Thubeena Manickavasagar, Daniel Johnathan Hughes, James Cusack, Sophia Tsoka, Gary Cook, Vicky Goh

This paper introduces WSUnet, a weakly supervised Unet that generates voxel-level explanations for image-level predictions, outperforming existing methods in lung cancer detection.

bioRxiv · Sep 9, 2022 · PreprintBioinformatics