| Time series forecasting for nonlinear and non-stationary processes: a review and comparative study C Cheng, A Sa-Ngasoongsong, O Beyca, T Le, H Yang, Z Kong, ... Iie Transactions 47 (10), 1053-1071, 2015 | 233 | 2015 |
| Identification of myocardial infarction (MI) using spatio-temporal heart dynamics H Yang, STS Bukkapatnam, T Le, R Komanduri Medical engineering & physics 34 (4), 485-497, 2012 | 62 | 2012 |
| Wireless wearable multisensory suite and real-time prediction of obstructive sleep apnea episodes T Le, C Cheng, A Sangasoongsong, W Wongdhamma, STS Bukkapatnam IEEE journal of translational engineering in health and medicine 1, 2700109 …, 2013 | 60 | 2013 |
| Time series forecasting for healthcare diagnosis and prognostics with the focus on cardiovascular diseases C Bui, N Pham, A Vo, A Tran, A Nguyen, T Le 6th International Conference on the Development of Biomedical Engineering in …, 2018 | 46 | 2018 |
| Device and method for predicting and preventing obstructive sleep apnea (osa) episodes STS Bukkapatnam, T Le, W Wongdhamma US Patent App. 14/137,326, 2014 | 46 | 2014 |
| Topology and Random-Walk Network Representation of Cardiac Dynamics for Localization of Myocardial Infarction T Le, STS Bukkapatnam, BA Benjamin, BA Wilkins, R Komanduri IEEE Transactions on Biomedical Engineering 60 (8), 2325-2331, 2013 | 46 | 2013 |
| Nonlinear Dynamics Forecasting of Obstructive Sleep Apnea Onsets T Le, STS Bukkapatnam PloS one 11 (11), e0164406, 2016 | 32 | 2016 |
| Detection of sleep apnea events via tracking nonlinear dynamic cardio-respiratory coupling from electrocardiogram signals K Karandikar, T Le, A Sa-ngasoongsong, W Wongdhamma, ... Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on …, 2013 | 27 | 2013 |
| Prediction of sleep apnea episodes from a wireless wearable multisensor suite T Le, C Cheng, A Sangasoongsong, STS Bukkapatnam Point-of-Care Healthcare Technologies (PHT), 2013 IEEE, 152-155, 2013 | 20 | 2013 |
| System and method for real-time three dimensional modeling of cardiovascular dynamics and the heart using electrocardiogram signals RK S Bukkapatnam, T Le US Patent US20140207005 A1, 2014 | 19 | 2014 |
| A deep neural network and Bayesian method based framework for all-terminal network reliability estimation considering degradation A Davila-Frias, N Yodo, T Le, OP Yadav Reliability Engineering & System Safety 229, 108881, 2023 | 16 | 2023 |
| Real-time lumped parameter modeling of cardiovascular dynamics using electrocardiogram signals: toward virtual cardiovascular instruments T Le, STS Bukkapatnam, R Komanduri IEEE Transactions on Biomedical Engineering 60 (8), 2350-2360, 2013 | 14 | 2013 |
| Validation framework for sleep stage scoring in wearable sleep trackers and monitors with polysomnography ground truth QNT Nguyen, T Le, QBT Huynh, A Setty, TV Vo, TQ Le Clocks & sleep 3 (2), 274-288, 2021 | 12 | 2021 |
| Probabilistic domain-knowledge modeling of disorder pathogenesis for dynamics forecasting of acute onset PK Huynh, A Setty, H Phan, TQ Le Artificial intelligence in medicine 115, 102056, 2021 | 12 | 2021 |
| Wireless multi-sensor platform for continuous real-time monitoring of cardiovascular respiratory dynamics R Komanduri, STS Bukkapatnam, T Le, TBORFOS University US Patent WO/2014/039,999, 2014 | 11 | 2014 |
| Wireless wearable multi-sensory system for monitoring of sleep apnea and other cardiorespiratory disorders W Wongdhamma, T Le, STS Bukkapatnam Automation Science and Engineering (CASE), 2013 IEEE International …, 2013 | 11 | 2013 |
| A dynamic systems approach for detecting and localizing of infarct-related artery in acute myocardial infarction using compressed paper-based electrocardiogram (ecg) TQ Le, V Chandra, K Afrin, S Srivatsa, S Bukkapatnam Sensors 20 (14), 3975, 2020 | 10 | 2020 |
| Temporal associations between daytime napping and nocturnal sleep: an exploration of random slopes MP Mead, P Huynh, TQ Le, LA Irish Annals of Behavioral Medicine 56 (11), 1101-1109, 2022 | 9 | 2022 |
| Towards virtual instruments for cardiovascular healthcare: Real-time modeling of cardiovascular dynamics using ECG signals T Le, STS Bukkapatnam, A Sangasoongsong, R Komanduri Automation Science and Engineering (CASE), 2010 IEEE Conference on, 903-910, 2010 | 9 | 2010 |
| Feature Extraction Techniques for Automatic Detection of Some Specific Cardiovascular Diseases Using ECG: A Review and Evaluation Study THN Le, TM Le, TQ Le, V Van Toi International Conference on the Development of Biomedical Engineering in …, 2019 | 6 | 2019 |
