A machine learning approach to reconstruction of heart surface potentials from body surface potentials A Malik, T Peng, ML Trew 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 18 | 2018 |
Predictive modeling of drug effects on electrocardiograms T Peng, ML Trew, A Malik Computers in biology and medicine 108, 332-344, 2019 | 8 | 2019 |
Deep learning neural nets for detecting heart activity J Horvath, L Shien, T Peng, A Malik, M Trew, L Bear arXiv preprint arXiv:1901.09831, 2019 | 6 | 2019 |
Parametric modeling of electrocardiograms using particle swarm optimization T Peng, M Trew, A Malik 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 6 | 2018 |
Impulse data models for the inverse problem of electrocardiography T Peng, A Malik, LR Bear, ML Trew IEEE Journal of Biomedical and Health Informatics 26 (3), 1353-1361, 2021 | 3 | 2021 |
Predicting drug-mediated pro-arrhythmic effects using pre-drug electrocardiograms T Peng, A Malik, ML Trew Biomedical Signal Processing and Control 68, 102712, 2021 | 1 | 2021 |
Resting-state Functional Connectivity Predicts Cochlear-Implant Speech Outcomes J Esmaelpoor, T Peng, B Jelfs, D Mao, M Shader, C McKay medRxiv, 2024.01. 30.24301908, 2024 | | 2024 |
Comparing patient-specific variations in intra-cochlea neural health estimated using psychophysical thresholds and panoramic electrically evoked compound action potentials (PECAPs) T Peng, C Garcia, M Haneman, M Shader, RP Carlyon, C McKay OSF, 2023 | | 2023 |
A Parametric Model for Characterizing Time-Variant Single Trials of Block-Design fNIRS Experiments T Peng, J Esmaelpoor, D Mao, OW Lee, M Haneman, G Balasubramanian, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
Brain Functional Connectivity Networks do not Return to Resting-state During Control Trials in Block Design Experiments* J Esmaelpoor, T Peng, B Jelfs, MJ Shader, CM McKay, D Mao 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
Data Driven Models of Electrocardiographic Signals T Peng PhD Thesis-University of Auckland, 2021 | | 2021 |
Development and Validation for a Mobile Speech-in-Noise Audiometric Task T Peng | | 2017 |
Development and Validation for a Mobile Speech-in-noise Audiometric Task (semantic Auditory Search) TQ Peng Washington University in St Louis, 2017 | | 2017 |
Semantic Auditory Search as a Speech-in-Noise Diagnostic Tool T Peng | | 2016 |
Semantic Search as a Novel Auditory Training Paradigm T Peng https://openscholarship.wustl.edu/vol10/110, 2015 | | 2015 |