Search Results for author: Brett Beaulieu-Jones

Found 3 papers, 2 papers with code

ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning

1 code implementation11 Apr 2025 Sahil Sethi, David Chen, Thomas Statchen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett Beaulieu-Jones

Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but clinical adoption has been slowed by the lack of transparent and faithful explanations.

Contrastive Learning Deep Learning +5

The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)

2 code implementations5 Mar 2024 Brenda Y. Miao, Irene Y. Chen, Christopher YK Williams, Jaysón Davidson, Augusto Garcia-Agundez, Shenghuan Sun, Travis Zack, Suchi Saria, Rima Arnaout, Giorgio Quer, Hossein J. Sadaei, Ali Torkamani, Brett Beaulieu-Jones, Bin Yu, Milena Gianfrancesco, Atul J. Butte, Beau Norgeot, Madhumita Sushil

Recent advances in generative models, including large language models (LLMs), vision language models (VLMs), and diffusion models, have accelerated the field of natural language and image processing in medicine and marked a significant paradigm shift in how biomedical models can be developed and deployed.

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