| Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation T Pereira, C Ding, K Gadhoumi, N Tran, RA Colorado, K Meisel, X Hu Physiological measurement 40 (12), 125002, 2019 | 49 | 2019 |
| 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 | 28 | 2021 |
| Explainability metrics of deep convolutional networks for photoplethysmography quality assessment O Zhang, C Ding, T Pereira, R Xiao, K Gadhoumi, K Meisel, RJ Lee, ... IEEE Access 9, 29736-29745, 2021 | 23 | 2021 |
| Log-spectral matching gan: Ppg-based atrial fibrillation detection can be enhanced by gan-based data augmentation with integration of spectral loss C Ding, R Xiao, DH Do, DS Lee, RJ Lee, S Kalantarian, X Hu IEEE Journal of Biomedical and Health Informatics 27 (3), 1331-1341, 2023 | 17 | 2023 |
| The 2023 wearable photoplethysmography roadmap PH Charlton, J Allen, R Bailón, S Baker, JA Behar, F Chen, GD Clifford, ... Physiological measurement 44 (11), 111001, 2023 | 15 | 2023 |
| Impact of label noise on the learning based models for a binary classification of physiological signal C Ding, T Pereira, R Xiao, RJ Lee, X Hu Sensors 22 (19), 7166, 2022 | 8 | 2022 |
| Integrating multimodal information in machine learning for classifying acute myocardial infarction R Xiao, C Ding, X Hu, GD Clifford, DW Wright, AJ Shah, S Al-Zaiti, ... Physiological Measurement 44 (4), 044002, 2023 | 5 | 2023 |
| Cluster consistency: Simple yet effect robust learning algorithm on large-scale photoplethysmography for atrial fibrillation detection in the presence of real-world label noise C Ding, ZC Guo, A Shah, G Clifford, C Rudin, X Hu arXiv preprint arXiv:2211.03333, 2022 | 5 | 2022 |
| Time Synchronization of Multimodal Physiological Signals through Alignment of Common Signal Types and Its Technical Considerations in Digital Health R Xiao, C Ding, X Hu Journal of Imaging 8 (5), 120, 2022 | 4 | 2022 |
| Generalizability of superalarm via cross-institutional performance evaluation R Xiao, D Do, C Ding, K Meisel, RJ Lee, X Hu IEEE Access 8, 132404-132412, 2020 | 3 | 2020 |
| Photoplethysmography based atrial fibrillation detection: an updated review from July 2019 C Ding, R Xiao, W Wang, E Holdsworth, X Hu arXiv preprint arXiv:2310.14155, 2023 | 1 | 2023 |
| A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables P Jain, C Ding, C Rudin, X Hu arXiv preprint arXiv:2307.05339, 2023 | 1 | 2023 |
| Learned Kernels for Interpretable and Efficient PPG Signal Quality Assessment and Artifact Segmentation SF Chen, Z Guo, C Ding, X Hu, C Rudin arXiv preprint arXiv:2307.05385, 2023 | 1 | 2023 |
| Photoplethysmography based atrial fibrillation detection: a continually growing field C Ding, R Xiao, W Wang, E Holdsworth, X Hu Physiological Measurement 45 (4), 04TR01, 2024 | | 2024 |
| SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals R Yan, C Ding, R Xiao, A Fedorov, RJ Lee, F Nahab, X Hu arXiv preprint arXiv:2404.15353, 2024 | | 2024 |
| Adapting a Generative Pretrained Transformer Achieves SOTA Performance in Assessing Diverse Physiological Functions Using Only Photoplethysmography Signals: A GPT-PPG Approach Z Chen, C Ding, N Modhe, J Lu, C Yang, X Hu AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 | | 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 | | 2024 |
| Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes D Liu, C Ding, D Bold, M Bouvier, J Lu, B Shickel, CS Jabaley, W Zhang, ... arXiv preprint arXiv:2401.13588, 2024 | | 2024 |
| Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records C Ding, J Myers, D Lin, W Shi, MD Wang, Z Lei, B Marteau 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| 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 e-prints, arXiv: 2312.02300, 2023 | | 2023 |
