Author

F. Minhas

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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Bioengineering· 1 Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:imaging· 2 Approach:statistical model· 2 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

N. Rajpoot· 3 shared A. Ben-Hur· 1 shared A. Shephard· 1 shared D. Epstein· 1 shared D. Grammatopoulos· 1 shared D. Snead· 1 shared G. Hadjigeorghiou· 1 shared I. Amin· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersCancer Biology

N. Rajpoot

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Author profile →

3 papers

Recent·Most cited

Buyer Beware: confounding factors and biases abound when predicting omics-based biomarkers from histological images

M. Dawood, K. Branson, S. Tejpar, N. Rajpoot, F. Minhas

This paper shows that deep learning models for predicting biomarkers from histology images are confounded by interdependencies among biomarkers, leading to less accurate and less reliable predictions.

bioRxiv · Jun 23, 2024 · PreprintCancer Biology

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics

J. Pocock, S. Graham, Q. D. Vu, M. Jahanifar, S. Deshpande, G. Hadjigeorghiou, A. Shephard, R. M. S. Bashir, M. Bilal, W. Lu, D. Epstein, F. Minhas, N. Rajpoot, S. E. A. Raza

TIAToolbox provides an end-to-end Python toolbox for computational pathology, enabling efficient and accessible use of deep learning algorithms for tissue image analysis.

bioRxiv · Dec 23, 2021Bioengineering

Improving COVID-19 Testing Efficiency using Guided Agglomerative Sampling

F. Minhas, D. Grammatopoulos, L. Young, I. Amin, D. Snead, N. Anderson, A. Ben-Hur, N. Rajpoot

This paper proposes agglomerative sampling to improve testing efficiency for low-prevalence COVID-19 populations, achieving ~40% test savings in simulations.

bioRxiv · Apr 13, 2020 · PreprintBioinformatics