| 2021 | PSB | Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. | Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma, Shilpa Nadimpalli Kobren |
| 2020 | COMPSAC | Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting. | Mohammed Saqib, Yuanda Zhu, May D. Wang, Brett K. Beaulieu-Jones |
| 2020 | PSB | Packaging Biocomputing Software to Maximize Distribution and Reuse. | William S. Bush, Nicholas Wheeler, Brett K. Beaulieu-Jones, Christian Darabos |
| 2020 | PSB | Session Introduction. | Shilpa Nadimpalli Kobren, Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma |
| 2019 | PSB | Learning Contextual Hierarchical Structure of Medical Concepts with Poincair Embeddings to Clarify Phenotypes. | Brett K. Beaulieu-Jones, Isaac S. Kohane, Andrew L. Beam |
| 2018 | PSB | Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database. | Brett K. Beaulieu-Jones, Patryk Orzechowski, Jason H. Moore |
| 2017 | PSB | Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders. | Brett K. Beaulieu-Jones, Jason H. Moore, et al. |