Author

Megan E. McCarron

Johns Hopkins University

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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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2 Organism:non-human primate· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

Daniel B. RussakoffiD· 2 shared Jessica Marie Izzi· 2 shared Jonathan D. OakleyiD· 2 shared Joseph L. MankowskiiD· 2 shared Rachel L. Weinberg· 2 shared Stuti Lonie MisraiD· 2 shared Charles N. J. McGheeiD· 1 shared Patrick M. TarwateriD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 34 mutual co-author links

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2 shared papersNeuroscience

Daniel B. RussakoffORCID

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2 papers

Recent·Most cited

Combining In Vivo Corneal Confocal Microscopy with Deep Learning-based Analysis Reveals Sensory Nerve Fiber Loss in Acute SIV Infection

Megan E. McCarron, Rachel L. Weinberg, Jessica Marie Izzi, Suzanne E. Queen, Patrick M. Tarwater, Stuti Lonie Misra, Daniel B. Russakoff, Jonathan D. Oakley, Joseph L. Mankowski

The paper uses IVCM and deep learning to analyze corneal nerve fibers in macaques, finding reduced nerve fiber length and fractal dimension during acute SIV infection.

Cornea · Jan 28, 2021Peer-reviewedNeuroscience

Deep Learning-Based Analysis of Macaque Corneal Sub-Basal Nerve Fibers in Confocal Microscopy Images

Jonathan D. Oakley, Daniel B. Russakoff, Megan E. McCarron, Rachel L. Weinberg, Jessica Marie Izzi, Stuti Lonie Misra, Charles N. J. McGhee, Joseph L. Mankowski

The paper evaluates deep learning methods for automated measurement of macaque corneal sub-basal nerve fibers in IVCM images, showing excellent correlation with manual tracings and inter-reader consistency.

Eye and Vision · May 7, 2020Peer-reviewedNeuroscience