Author

Walid Bousselham

Oregon Health & Science UniversityORCID 0000-0002-9684-523XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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

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Guillaume ThibaultiD· 1 shared Jessica L. RiestereriD· 1 shared Joe W. GrayiD· 1 shared Lucas PaganoiD· 1 shared Xubo SongiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioengineering

Guillaume ThibaultORCID

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1 paper

Recent·Most cited

BioengineeringFrontiers in BioinformaticsPeer-reviewedDec 15, 2023

Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations

Lucas Pagano, Guillaume Thibault, Walid Bousselham…·Joe W. Gray

The paper compares deep learning models for segmenting nuclei and nucleoli in cancer EM images using sparse labels and semi-supervised learning, showing improvements in 3D Dice scores.

1 citation

electronic health recordsdeep learning

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