Author

M. Luigi

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:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

D. Brundage· 1 shared E. M. Van Allen· 1 shared H. Ella· 1 shared J. Nyman· 1 shared J. Rosenthal· 1 shared M. Loda· 1 shared M. Omar· 1 shared R. Carelli· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

D. Brundage

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1 paper

Recent·Most cited

Building tools for machine learning and artificial intelligence in cancer research: best practices and a case study with the PathML toolkit for computational pathology

J. Rosenthal, R. Carelli, M. Omar, D. Brundage, H. Ella, J. Nyman, S. Hari, E. M. Van Allen, M. Luigi, R. Umeton, M. Loda

The paper introduces PathML, a computational pathology toolkit designed for scalability, standardization, and ease of use in cancer research, with applications demonstrated across diverse use-cases.

bioRxiv · Oct 21, 2021Cancer Biology