Author

A. Rokem

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

Signature Assays, Organisms & Methods

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Assay:clinical cohort / trial· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Y. Lee· 1 shared C. Egan· 1 shared C. Petersen· 1 shared J. C. Wen· 1 shared K. D. Bojikian· 1 shared M. Balazinska· 1 shared M. R. Banitt· 1 shared P. Mehta· 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 paperBioengineering

A. Y. Lee

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1 paper

Recent·Most cited

Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images

P. Mehta, C. Petersen, J. C. Wen, M. R. Banitt, P. P. Chen, K. D. Bojikian, C. Egan, S.-I. Lee, M. Balazinska, A. Y. Lee, A. Rokem, The UK Biobank Eye and Vision Consortium

This paper develops an interpretable machine learning model for glaucoma detection using clinical data and multi-modal retinal images, achieving high accuracy and identifying both known and novel disease-related features.

American Journal of Ophthalmology · Nov 1, 2021Peer-reviewedBioengineering