Author

Rubina G. Simikyan

Massachusetts Eye and Ear InfirmaryORCID 0000-0002-8074-0070Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Artur A. IndzhykulianiD· 3 shared Christopher J. BuswinkaiD· 2 shared David B. Rosenberg· 2 shared Richard T. OsgoodiD· 2 shared Albert S.B. EdgeiD· 1 shared Alejandra Catalina Vélez-OrtegaiD· 1 shared Amandine JarystaiD· 1 shared Ana I. López-PorrasiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersNeuroscience

Artur A. IndzhykulianORCID

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3 papers

Recent·Most cited

Frem2 Knockout Mice Exhibit Fraser Syndrome Phenotypes and Neonatal Lethality Due to Bilateral Renal Agenesis

Rubina G. Simikyan, Xinyuan Zhang, Olga S. Strelkova, Nathan Li, Mengyu Zhu, Andreas H. Eckhard, Petr Y. Baranov, Xudong Wu, Lauren J. Richey, Artur A. Indzhykulian

Scientific Reports · Sep 26, 2025Peer-reviewedDevelopmental Biology

Large-scale annotated dataset for cochlear hair cell detection and classification

Christopher J. Buswinka, David B. Rosenberg, Rubina G. Simikyan, Richard T. Osgood, Katharine A. Fernandez, Hidetomi Nitta, Yushi Hayashi, Leslie W. Liberman, Emily Nguyen, Erdem Yıldız, Jin‐Kyung Kim, Amandine Jarysta, Justine M. Renauld, Ella Wesson, Haobing Wang, , Artur A. Indzhykulian

The paper presents a large annotated dataset of cochlear hair cells for machine learning applications in hearing research.

Scientific Data · Apr 23, 2024Peer-reviewedNeuroscience

The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline

Christopher J. Buswinka, Richard T. Osgood, Rubina G. Simikyan, David B. Rosenberg, Artur A. Indzhykulian

The paper introduces HCAT, a machine learning tool for automated analysis of hair cells in cochlear images, enabling fast and unbiased counting, classification, and cochleogram generation.

PLoS Biology · Mar 22, 2023Peer-reviewedNeuroscience