| Attentive Adversarial Network for Large-Scale Sleep Staging S Nasiri, GD Clifford Journal of Machine Learning Research (JMLR) - Machine Learning for Healthcare, 2020 | 41 | 2020 |
| Development of expert-level classification of seizures and rhythmic and periodic patterns during eeg interpretation J Jing, W Ge, S Hong, MB Fernandes, Z Lin, C Yang, S An, AF Struck, ... Neurology 100 (17), e1750-e1762, 2023 | 34 | 2023 |
| Generalizable Seizure Detection Model using Generating Transferable Adversarial Features S Nasiri, GD Clifford IEEE Signal Processing Letters, 2021 | 23 | 2021 |
| ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation A Einizade, S Nasiri, SH Sardouie, GD Clifford Neural Networks 164, 667-680, 2023 | 19 | 2023 |
| Explainable automated seizure detection using attentive deep multi-view networks A Einizade, S Nasiri, M Mozafari, SH Sardouie, GD Clifford Biomedical Signal Processing and Control 79, 104076, 2023 | 17 | 2023 |
| A Deep Learning-Based Method for Automatic Detection of Epileptic Seizure in a Dataset With Both Generalized and Focal Seizure Types A Einizade, M Mozafari, SH Sardouie, S Nasiri, G Clifford | 17 | 2020 |
| Subject selection on a Riemannian manifold for unsupervised cross-subject seizure detection SNG Bolagh, G Clifford 31st Conference on Neural Information Processing Systems (NeurIPS), Long …, 2017 | 17 | 2017 |
| Interrater reliability of expert electroencephalographers identifying seizures and rhythmic and periodic patterns in EEGs J Jing, W Ge, AF Struck, MB Fernandes, S Hong, S An, S Fatima, ... Neurology 100 (17), e1737-e1749, 2023 | 15 | 2023 |
| Unsupervised cross-subject BCI learning and classification using Riemannian geometry SNG Bolagh, MB Shamsollahi, C Jutten, M Congedo 24th European Symposium on Artificial Neural Networks, Computational …, 2016 | 12 | 2016 |
| Boosting Automated Sleep Staging Performance in Big Datasets using Population Sub-grouping S Nasiri, GD Clifford SLEEP, 2021 | 8 | 2021 |
| Neural circuits for dynamics-based segmentation of time series T Teşileanu, S Golkar, S Nasiri, AM Sengupta, DB Chklovskii Neural computation 34 (4), 891-938, 2022 | 4 | 2022 |
| From Sleep Patterns to Heart Rhythms: Predicting Atrial Fibrillation from Overnight Polysomnograms Z Koscova, AB Rad, S Nasiri, MA Reyna, R Sameni, LM Trotti, H Sun, ... medRxiv, 2024.06. 04.24308444, 2024 | 3 | 2024 |
| Exploiting labels from multiple experts in automated sleep scoring S Nasiri, W Ganglberger, H Sun, RJ Thomas, MB Westover Sleep 46 (5), zsad034, 2023 | 3 | 2023 |
| Predicting age, cognitive scores, and sleep stages from sleep EEG with a multi-task deep neural network using the Framingham Heart Study MBW W Ganglberger, N Adra, H Sun, S Nasiri, T Nassi, H-P Landolt, R Huber ... Sleep Medicine 100, S35, 2022 | 2 | 2022 |
| Refining sleep staging accuracy: transfer learning coupled with scorability models W Ganglberger, S Nasiri, H Sun, S Kim, C Shin, MB Westover, RJ Thomas Sleep 47 (11), zsae202, 2024 | 1 | 2024 |
| The Human Sleep Project Brain Data Science Platform., 2023 | 1* | 2023 |
| Model-Based Electroencephalogram Instantaneous Frequency Tracking: Application in Automated Sleep–Wake Stage Classification M Nateghi, M Rahbar Alam, H Amiri, S Nasiri, R Sameni Sensors 24 (24), 7881, 2024 | | 2024 |
| Interrater Reliability of Experts in Identifying Seizures and Highly Epileptiform Events in Electroencephalograms J Jing, W Ge, AF Struck, M Bento Fernandes, S Hong, S An, S Fatima, ... | | 2022 |
| Advanced Search Search J Sarto, R Ruiz-García, N Guillén, Ó Ramos-Campoy, N Falgàs, D Esteller, ... Clinical, Imaging, 2022 | | 2022 |
| Advanced Search Search SM Greenberg, DJ Rosand Brain, 2022 | | 2022 |
Gari CliffordProfessor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of TechnologyE-mailová adresa ověřena na: physionet.org
