An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA).

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Bibliographic Details
Title: An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA).
Authors: Erra A; Data Institute, University of San Francisco, San Francisco, CA, USA., Miller CM; Department of Cell & Developmental Biology, University of California San Diego, La Jolla, CA, USA., Chen J; Data Institute, University of San Francisco, San Francisco, CA, USA., Chrysostomou E; Department of Cell & Developmental Biology, University of California San Diego, La Jolla, CA, USA., Barret S; Department of Cell & Developmental Biology, University of California San Diego, La Jolla, CA, USA., Kassim YM; Department of Cell & Developmental Biology, University of California San Diego, La Jolla, CA, USA., Friedman RA; Department of Otolaryngology, University of California San Diego, La Jolla, CA, USA., Lauer A; Departments of Otolaryngology-Head and Neck Surgery and Neuroscience, Center for Functional Anatomy and Evolution, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Ceriani F; School of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK.; Neuroscience Institute, University of Sheffield, Sheffield, S10 2TN, UK., Marcotti W; School of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK.; Neuroscience Institute, University of Sheffield, Sheffield, S10 2TN, UK., Carroll C; Data Institute, University of San Francisco, San Francisco, CA, USA.; Department of Mathematics and Statistics, University of San Francisco, San Francisco, CA, USA., Manor U; Department of Cell & Developmental Biology, University of California San Diego, La Jolla, CA, USA. uri@ucsd.edu.; Department of Otolaryngology, University of California San Diego, La Jolla, CA, USA. uri@ucsd.edu.; Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA. uri@ucsd.edu.
Source: Scientific reports [Sci Rep] 2026 Feb 19; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 19.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-38045-1