Author

Alicia Meng

Memorial Sloan Kettering Cancer Center

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

AJAX ELIS GEORGEiD· 1 shared Andrei I. HolodnyiD· 1 shared Henry RusinekiD· 1 shared James B. GolombiD· 1 shared Lucas C. ParraiD· 1 shared Nathaniel SwinburneiD· 1 shared Rachna MalaniiD· 1 shared Raquel MorenoiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

AJAX ELIS GEORGEORCID

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1 paper

Recent·Most cited

Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment

Yu Huang, Raquel Moreno, Rachna Malani, Alicia Meng, Nathaniel Swinburne, Andrei I. Holodny, Ye Ra Choi, Henry Rusinek, James B. Golomb, AJAX ELIS GEORGE, Lucas C. Parra, Robert J. Young

The paper develops a deep learning model to detect hydrocephalus requiring treatment from MRI scans, achieving performance comparable to neuroradiologists.

Journal of Imaging Informatics in Medicine · May 17, 2022Peer-reviewedBioinformatics