| Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling N Diamant, E Reinertsen, S Song, AD Aguirre, CM Stultz, P Batra PLoS computational biology 18 (2), e1009862, 2022 | 35 | 2022 |
| Late onset atrial fibrillation in patients undergoing surgical aortic valve replacement CS Ong, E Reinertsen, P Moonsamy, K Young, S Song, AL Axtell, ... Journal of Cardiac Surgery 37 (2), 285-289, 2022 | 3 | 2022 |
| ATAT: Automated Tissue Alignment and Traversal S Song, E Mohsin, A Kuznetsov, C Weber, RL Grossman, AA Khan NeurIPS 2023 AI for Science Workshop, 2023 | | 2023 |
| ATAT: Automated Tissue Alignment and Traversal in Spatial Transcriptomics with Self-Supervised Learning S Song, E Mohsin, R Zhang, A Kuznetsov, L Shen, RL Grossman, ... bioRxiv, 2023.12. 08.570839, 2023 | | 2023 |
| Pre-training appendix to: Patient contrastive learning: a performant, expressive, and practical approach to electrocardiogram modeling N Diamant, E Reinertsen, S Song, A Aguirre, C Stultz, P Batra | | |
Aaron D. AguirreAssistant Professor of Medicine, Harvard Medical School, Cardiology Division, Massachusetts General在 mgh.harvard.edu 的电子邮件经过验证
