Author

David B. Rosenberg

Massachusetts Eye and Ear Infirmary

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 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Organism:mouse· 3 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Organism:human· 2 Approach:benchmark study· 1

Frequent Co-Authors

Artur A. IndzhykulianiD· 3 shared Christopher J. BuswinkaiD· 2 shared Richard T. OsgoodiD· 2 shared Rubina G. SimikyaniD· 2 shared Uri ManoriD· 2 shared Albert S.B. EdgeiD· 1 shared Alejandra Catalina Vélez-OrtegaiD· 1 shared Alma ReneroiD· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersNeuroscience

Artur A. IndzhykulianORCID

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3 papers

Recent·Most cited

VASCilia (Vision Analysis StereoCilia): A Napari Plugin for Deep Learning-Based 3D Analysis of Cochlear Hair Cell Stereocilia Bundles

Yasmin M. Kassim, David B. Rosenberg, Samprita Das, Zhuoling Huang, Samia Abdul Rahman, Ibraheem Al Shammaa, Samer Salim, Kevin Huang, Alma Renero, Cayla M. Miller, Yuzuru Ninoyu, Rick A. Friedman, Artur A. Indzhykulian, Uri Manor

VASCilia is a Napari plugin that uses deep learning to analyze 3D cochlear hair cell stereocilia bundles, revealing biological insights about actin content and bundle organization.

bioRxiv · Jun 17, 2024 · PreprintBioinformatics

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