| A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables Z Guo, C Ding, X Hu, C Rudin Physiological Measurement 42 (12), 125003, 2021 | 39 | 2021 |
| Improving Clinician Performance in Classifying EEG Patterns on the Ictal–Interictal Injury Continuum Using Interpretable Machine Learning AJ Barnett, Z Guo, J Jing, W Ge, PW Kaplan, WY Kong, I Karakis, ... NEJM AI 1 (6), AIoa2300331, 2024 | 7* | 2024 |
| Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise … C Ding, Z Guo, C Rudin, R Xiao, A Shah, DH Do, RJ Lee, G Clifford, ... IEEE Journal of Biomedical and Health Informatics, 2024 | 6* | 2024 |
| Sparse learned kernels for interpretable and efficient medical time series processing SF Chen, Z Guo, C Ding, X Hu, C Rudin Nature Machine Intelligence, 1-13, 2024 | 4* | 2024 |
| SiamQuality: a ConvNet-based foundation model for photoplethysmography signals C Ding, Z Guo, Z Chen, RJ Lee, C Rudin, X Hu Physiological Measurement 45 (8), 085004, 2024 | 2 | 2024 |
| What is different between these datasets? V Babbar*, Z Guo*, C Rudin arXiv preprint arXiv:2403.05652, 2024 | 2 | 2024 |
| Integrated Single-cell Multiomic Analysis of HIV Latency Reversal Reveals Novel Regulators of Viral Reactivation M Ashokkumar, W Mei, JJ Peterson, Y Harigaya, DM Murdoch, ... Genomics, Proteomics & Bioinformatics 22 (1), 2024 | | 2024 |
| Reconsideration on evaluation of machine learning models in continuous monitoring using wearables C Ding, Z Guo, C Rudin, R Xiao, FB Nahab, X Hu arXiv preprint arXiv:2312.02300, 2023 | | 2023 |
| SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection Z Guo, C Ding, DH Do, A Shah, RJ Lee, X Hu, C Rudin arXiv preprint arXiv:2310.09203, 2023 | | 2023 |
