ucsdmanorlab/abranalysis: v0.0.1
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2025
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| author | Erra, Abhijeeth Chen, Jeffrey Miller, Cayla Kassim, Yasmin Ashebir, Leah Patel, Peeyush Carroll, Cody Manor, Uri |
| author_facet | Erra, Abhijeeth Chen, Jeffrey Miller, Cayla Kassim, Yasmin Ashebir, Leah Patel, Peeyush Carroll, Cody Manor, Uri |
| contents | <h2>ABRA v0.0.1 Release </h2> <p>We're excited to announce the first official release of <strong>Auditory Brainstem Response Analyzer (ABRA)</strong>, an open-source deep learning-powered GUI for automated ABR analysis! ABRA aims to standardize and accelerate ABR waveform interpretation, reducing manual effort and improving reproducibility. This version is trained on mouse ABR data from three labs.</p> <h3> Key Features:</h3> <ul> <li>Automated Peak Detection & Threshold Estimation – Extract peak amplitude and latency, and auditory threshold estimates.</li> <li>Interactive GUI – Easily explore, annotate, and export results.</li> <li>Batch Processing – Import and analyze multiple datasets seamlessly.</li> <li>Cross-Lab Generalizability – Trained on diverse datasets for robust performance.</li> </ul> <p> <a href="https://github.com/ucsdmanorlab/abranalysis">GitHub Repository</a></p> <p>For details, check out our <a href="https://www.biorxiv.org/content/10.1101/2024.06.20.599815v1.full">preprint</a>.</p> |
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| id | zenodo_https___doi_org_10_5281_zenodo_15054979 |
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| publishDate | 2025 |
| publisher | Zenodo |
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| spellingShingle | ucsdmanorlab/abranalysis: v0.0.1 Erra, Abhijeeth Chen, Jeffrey Miller, Cayla Kassim, Yasmin Ashebir, Leah Patel, Peeyush Carroll, Cody Manor, Uri <h2>ABRA v0.0.1 Release </h2> <p>We're excited to announce the first official release of <strong>Auditory Brainstem Response Analyzer (ABRA)</strong>, an open-source deep learning-powered GUI for automated ABR analysis! ABRA aims to standardize and accelerate ABR waveform interpretation, reducing manual effort and improving reproducibility. This version is trained on mouse ABR data from three labs.</p> <h3> Key Features:</h3> <ul> <li>Automated Peak Detection & Threshold Estimation – Extract peak amplitude and latency, and auditory threshold estimates.</li> <li>Interactive GUI – Easily explore, annotate, and export results.</li> <li>Batch Processing – Import and analyze multiple datasets seamlessly.</li> <li>Cross-Lab Generalizability – Trained on diverse datasets for robust performance.</li> </ul> <p> <a href="https://github.com/ucsdmanorlab/abranalysis">GitHub Repository</a></p> <p>For details, check out our <a href="https://www.biorxiv.org/content/10.1101/2024.06.20.599815v1.full">preprint</a>.</p> |
| title | ucsdmanorlab/abranalysis: v0.0.1 |
| url | https://doi.org/10.5281/zenodo.15054979 |