| Development of expert-level automated detection of epileptiform discharges during electroencephalogram interpretation J Jing, H Sun, JA Kim, A Herlopian, I Karakis, M Ng, JJ Halford, D Maus, ... JAMA neurology 77 (1), 103-108, 2020 | 161 | 2020 |
| Association of epileptiform abnormalities and seizures in Alzheimer disease AD Lam, RA Sarkis, KR Pellerin, J Jing, BA Dworetzky, DB Hoch, ... Neurology 95 (16), e2259-e2270, 2020 | 139 | 2020 |
| Epileptiform spike detection via convolutional neural networks AR Johansen, J Jin, T Maszczyk, J Dauwels, SS Cash, MB Westover 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 129 | 2016 |
| Interrater reliability of experts in identifying interictal epileptiform discharges in electroencephalograms J Jing, A Herlopian, I Karakis, M Ng, JJ Halford, A Lam, D Maus, F Chan, ... JAMA neurology 77 (1), 49-57, 2020 | 112 | 2020 |
| Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury E Amorim, M Van der Stoel, SB Nagaraj, MM Ghassemi, J Jing, ... Clinical neurophysiology 130 (10), 1908-1916, 2019 | 91 | 2019 |
| EEG classification via convolutional neural network-based interictal epileptiform event detection J Thomas, L Comoretto, J Jin, J Dauwels, SS Cash, MB Westover 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 90 | 2018 |
| Automated detection of interictal epileptiform discharges from scalp electroencephalograms by convolutional neural networks J Thomas, J Jin, P Thangavel, E Bagheri, R Yuvaraj, J Dauwels, ... International journal of neural systems 30 (11), 2050030, 2020 | 82 | 2020 |
| Focal sleep spindle deficits reveal focal thalamocortical dysfunction and predict cognitive deficits in sleep activated developmental epilepsy MA Kramer, SM Stoyell, D Chinappen, LM Ostrowski, ER Spencer, ... Journal of Neuroscience 41 (8), 1816-1829, 2021 | 72 | 2021 |
| Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning M Abou Jaoude, J Jing, H Sun, CS Jacobs, KR Pellerin, MB Westover, ... Clinical Neurophysiology 131 (1), 133-141, 2020 | 64 | 2020 |
| Electroencephalographic abnormalities are common in COVID‐19 and are associated with outcomes L Lin, A Al‐Faraj, N Ayub, P Bravo, S Das, L Ferlini, I Karakis, JW Lee, ... Annals of neurology 89 (5), 872-883, 2021 | 57 | 2021 |
| Automated adult epilepsy diagnostic tool based on interictal scalp electroencephalogram characteristics: A six-center study J Thomas, P Thangavel, WY Peh, J Jing, R Yuvaraj, SS Cash, ... International journal of neural systems 31 (05), 2050074, 2021 | 48 | 2021 |
| Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networks WL Zheng, E Amorim, J Jing, W Ge, S Hong, O Wu, M Ghassemi, JW Lee, ... Resuscitation 169, 86-94, 2021 | 47 | 2021 |
| Rapid annotation of interictal epileptiform discharges via template matching under dynamic time warping J Jing, J Dauwels, T Rakthanmanon, E Keogh, SS Cash, MB Westover Journal of neuroscience methods 274, 179-190, 2016 | 47 | 2016 |
| Accurate identification of EEG recordings with interictal epileptiform discharges using a hybrid approach: Artificial intelligence supervised by human experts MA Kural, J Jing, F Fürbass, H Perko, E Qerama, B Johnsen, S Fuchs, ... Epilepsia 63 (5), 1064-1073, 2022 | 45 | 2022 |
| 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 | 43 | 2023 |
| Burden of epileptiform activity predicts discharge neurologic outcomes in severe acute ischemic stroke M Tabaeizadeh, H Aboul Nour, M Shoukat, H Sun, J Jin, F Javed, S Kassa, ... Neurocritical care 32, 697-706, 2020 | 36 | 2020 |
| Time–frequency decomposition of scalp electroencephalograms improves deep learning-based epilepsy diagnosis P Thangavel, J Thomas, WY Peh, J Jing, R Yuvaraj, SS Cash, ... International journal of neural systems 31 (08), 2150032, 2021 | 33 | 2021 |
| Automated annotation of epileptiform burden and its association with outcomes SF Zafar, ES Rosenthal, J Jing, W Ge, M Tabaeizadeh, H Aboul Nour, ... Annals of neurology 90 (2), 300-311, 2021 | 33 | 2021 |
| Predicting neurological outcome from electroencephalogram dynamics in comatose patients after cardiac arrest with deep learning WL Zheng, E Amorim, J Jing, O Wu, M Ghassemi, JW Lee, A Sivaraju, ... IEEE transactions on biomedical engineering 69 (5), 1813-1825, 2021 | 31 | 2021 |
| A fast machine learning approach to facilitate the detection of interictal epileptiform discharges in the scalp electroencephalogram E Bagheri, J Jin, J Dauwels, S Cash, MB Westover Journal of neuroscience methods 326, 108362, 2019 | 31 | 2019 |
