| Data augmentation for deep-learning-based electroencephalography E Lashgari, D Liang, U Maoz Journal of Neuroscience Methods 346, 108885, 2020 | 269 | 2020 |
| An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification task E Lashgari, J Ott, A Connelly, P Baldi, U Maoz Journal of Neural Engineering 18 (4), 0460e3, 2021 | 25 | 2021 |
| Spinal Anesthesia Reduces Myocardial Ischemia–triggered Ventricular Arrhythmias by Suppressing Spinal Cord Neuronal Network Interactions in Pigs Y Omura, JP Kipke, S Salavatian, AS Afyouni, C Wooten, RF Herkenham, ... Anesthesiology 134 (3), 405-420, 2021 | 12 | 2021 |
| Dimensionality reduction for classification of object weight from electromyography E Lashgari, U Maoz Plos one 16 (8), e0255926, 2021 | 8 | 2021 |
| Manifold learning for ECG arrhythmia recognition E Lashgari, M Jahed, B Khalaj 2013 20th Iranian Conference on Biomedical Engineering (ICBME), 126-131, 2013 | 7 | 2013 |
| Electromyography Pattern Classification with Laplacian Eigenmaps in Human Running E Lashgari, E Demircan International Journal of Electronics and Communication Engineering 11 (4 …, 2017 | 5 | 2017 |
| Decoding object weight from electromyography during human grasping E Lashgari, A Pouya, U Maoz BioRxiv, 2021.03. 26.437230, 2021 | 4 | 2021 |
| Electromyography classification during reach-to-grasp motion using manifold learning E Lashgari, U Maoz bioRxiv, 2020.07. 16.207639, 2020 | 3 | 2020 |
| Method as a preprocessing stage for tracking sperms progressive motility SSMS Monfared, E Lashgari, AA Aghdam, BH Khalaj IEEE International Symposium on Signal Processing and Information Technology …, 2013 | 2 | 2013 |
| A systematic review of Flotation-Restricted Environmental Stimulation Therapy (REST) E Lashgari, EG Chen, J Gregory, U Maoz medRxiv, 2023.11. 29.23299203, 2023 | 1 | 2023 |
| Implantable medical device data and diagnostics management system method using machine-learning architecture A Goil, K Davis, E Lashgari, G Mouchawar US Patent App. 18/362,582, 2024 | | 2024 |
| A CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DISCRIMINATION OF PAUSE EPISODES DETECTED BY AN INSERTABLE CARDIAC MONITOR H Lashgari, E., Nair, D.G., Gopinathannair, R., Exner, D.V., Qu, F., Dawoud ... Cardiovascular Digital Health Journal 3 (4), 2022 | | 2022 |
| A CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DISCRIMINATION OF PAUSE EPISODES DETECTED BY AN INSERTABLE CARDIAC MONITOR H Lashgari, E., Nair, D.G., Gopinathannair, R., Exner, D.V., Qu, F., Dawoud ... Cardiovascular Digital Health Journal 3 (4), 2022 | | 2022 |
| Atrial flutter detection utilizing nonlinear dimension reduction E Lashgari, S Rosenberg, F Qu US Patent 10,925,508, 2021 | | 2021 |
| Atrial flutter detection utilizing nonlinear dimension reduction FQ Elnaz Lashghari, Stuart Rosenberg US Patent US10925508B2, 2021 | | 2021 |
| Machine-Learning-Based Approach to Decoding Physiological and Neural Signals E Lashgari Chapman University, 2021 | | 2021 |
| Deep Learning-based Discrimination of Pause Episodes in Insertable Cardiac Monitors E Lashgari, D Monje, F Dawoud, F Qu | | |
Uri MaozAssistant Professor of Computational Neuroscience, Chapman University; Visiting Assistant ProfessorZweryfikowany adres z chapman.edu
