Author

R. Moubarak

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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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

A. A. S. Shadaloey· 1 shared A. Karz· 1 shared A. Rubanov· 1 shared A. Rubens· 1 shared A. Tsirigos· 1 shared C. Loomis· 1 shared D. Lima· 1 shared E. Bayraktar· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. A. S. Shadaloey

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1 paper

Recent·Most cited

MetFinder: a neural network-based tool for automated quantitation of metastatic burden in histological sections from animal models

A. Karz, N. Coudray, E. Bayraktar, K. Galbraith, G. Jour, A. A. S. Shadaloey, N. Eskow, A. Rubanov, M. Navarro, R. Moubarak, G. Baptiste, G. Levinson, V. Mezzano, M. Alu, C. Loomis, , E. Hernando

MetFinder uses a deep neural network to automate metastasis burden quantification in histological sections from mouse models, improving throughput and resolution compared to current methods.

bioRxiv · Sep 7, 2023 · PreprintCancer Biology