Author

R. Augulis

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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Pathology· 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

A. Golaraei· 1 shared B. C. Wilson· 1 shared E. Zurauskas· 1 shared K. Mirsanaye· 1 shared L. Kontenis· 1 shared L. Uribe Castano· 1 shared S. J. Done· 1 shared V. Barzda· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperPathology

A. Golaraei

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1 paper

Recent·Most cited

Machine learning-enabled cancer diagnostics with widefield polarimetric second-harmonic generation microscopy

K. Mirsanaye, L. Uribe Castano, Y. Kamaliddin, A. Golaraei, R. Augulis, L. Kontenis, S. J. Done, E. Zurauskas, B. C. Wilson, V. Barzda

This paper uses machine learning with polarimetric second-harmonic generation microscopy to classify breast tissue as cancerous or normal with high accuracy.

bioRxiv · May 26, 2021Pathology