Author

Ehsan Ullah

Counties Manukau District Health BoardORCID 0000-0001-6470-3731Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Makhdoom SarwariD· 1 shared Nauman Ali Shah· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperPathology

Makhdoom SarwarORCID

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1 paper

Recent·Most cited

PathologybioRxivPreprintJun 30, 2026

Homologous recombination deficiency prediction from whole slide images using label refinement and foundation-model benchmarking in ovarian cancer

Nauman Ali Shah, Makhdoom Sarwar, Ehsan Ullah

This paper evaluates if H&E WSIs from TCGA-OV can predict HRD status using label refinement and foundation models, finding modest predictive performance but limited clinical interpretability.

DOI 10.64898/2026.06.25.734452

humanimaging

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