Author

W. Lassoued

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 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

C. Allen· 2 shared J. L. Gulley· 2 shared J. Strauss· 2 shared S. Bailey· 2 shared A. G. Sowalsky· 1 shared A. Rajan· 1 shared C. Caldas· 1 shared C. H. Dampier· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPathology

C. Allen

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Author profile →

2 papers

Recent·Most cited

Deep Learning Model Imputes Missing Stains in Multiplex Images

M. Shaban, W. Lassoued, K. Canubas, S. Bailey, Y. Liu, C. Allen, J. Strauss, J. L. Gulley, S. Jiang, F. Mahmood, G. Zaki, H. A. Sater

The paper introduces a deep learning model, MAXIM, to impute missing protein markers in multiplex images, improving efficiency in staining and imaging processes.

bioRxiv · Nov 21, 2023 · PreprintPathology

Prediction of cancer treatment response from histopathology images through imputed transcriptomics

D.-T. Hoang, G. Dinstag, L. C. Hermida, D. S. Ben-Zvi, E. Elis, K. Caley, S.-J. Sammut, S. Sinha, N. Sinha, C. H. Dampier, C. Stossel, T. Patil, A. Rajan, W. Lassoued, J. Strauss, , E. Ruppin

ENLIGHT-DeepPT predicts cancer treatment response from H&E slides by first imputing transcriptomics and then using that data to predict response across multiple therapies and cancer types.

bioRxiv · Jun 7, 2022 · PreprintCancer Biology