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@@ -61,6 +61,12 @@ <h2>Select Publications</h2>
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<p><a href="https://scholar.google.com/citations?hl=en&user=2SvHNeQAAAAJ&view_op=list_works"> See a full list on Google Scholar </a></p>
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<dt><a href="https://arxiv.org/abs/2504.08713">ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning</a></dt>
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<p>Sahil Sethi, David Chen, Thomas Statchen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K Beaulieu-Jones. <i>Preprint</i> (2025)
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<p>ProtoECGNet is a prototype-based deep learning model for multi-label ECG classification that mirrors clinical interpretation by learning distinct prototypes for rhythm, morphology, and global abnormalities. It introduces a contrastive loss to structure the prototype space based on diagnostic co-occurrence, achieving near state-of-the-art performance on PTB-XL while providing faithful, case-based explanations grounded in real ECG segments from the training set. ProtoECGNet delivers transparent reasoning across all 71 labels, spanning a comprehensive range of cardiac abnormalities in 12-lead ECGs.
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<dt><a href="https://www.medrxiv.org/content/10.1101/2024.12.30.24319785v1">Advancing Healthcare AI Governance: A Comprehensive Maturity Model Based on Systematic Review</a></dt>
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<p>Rowan Hussein, Anna Zink, Bashar Ramadan, Frederick M Howard, Maia Hightower, Sachin Shah, Brett K Beaulieu-Jones. <i>Preprint</i> (2024)

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