| Deep-learning for seizure forecasting in canines with epilepsy P Nejedly, V Kremen, V Sladky, M Nasseri, H Guragain, P Klimes, ... Journal of neural engineering 16 (3), 036031, 2019 | 98 | 2019 |
| Predicting short-term MCI-to-AD progression using imaging, CSF, genetic factors, cognitive resilience, and demographics Y Varatharajah, VK Ramanan, R Iyer, P Vemuri Scientific reports 9 (1), 2235, 2019 | 90 | 2019 |
| EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network N Wagh, Y Varatharajah Proceedings of the Machine Learning for Health NeurIPS Workshop 136, 367-378, 2020 | 88 | 2020 |
| Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy Y Varatharajah, B Berry, J Cimbalnik, V Kremen, J Van Gompel, M Stead, ... Journal of neural engineering 15 (4), 046035, 2018 | 84 | 2018 |
| Seizure forecasting and the preictal state in canine epilepsy Y Varatharajah, RK Iyer, BM Berry, GA Worrell, BH Brinkmann International journal of neural systems 27 (01), 1650046, 2017 | 63 | 2017 |
| Visually validated semi-automatic high-frequency oscillation detection aides the delineation of epileptogenic regions during intra-operative electrocorticography SA Weiss, B Berry, I Chervoneva, Z Waldman, J Guba, M Bower, ... Clinical neurophysiology 129 (10), 2089-2098, 2018 | 50 | 2018 |
| EEG-GRAPH: a factor-graph-based model for capturing spatial, temporal, and observational relationships in electroencephalograms Y Varatharajah, MJ Chong, K Saboo, B Berry, B Brinkmann, G Worrell, ... Advances in neural information processing systems 30, 2017 | 28 | 2017 |
| A contextual-bandit-based approach for informed decision-making in clinical trials Y Varatharajah, B Berry Life 12 (8), 1277, 2022 | 26 | 2022 |
| Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance KV Saboo, Y Varatharajah, BM Berry, V Kremen, MR Sperling, KA Davis, ... Scientific reports 9 (1), 17390, 2019 | 26 | 2019 |
| Quantitative analysis of visually reviewed normal scalp EEG predicts seizure freedom following anterior temporal lobectomy Y Varatharajah, B Joseph, B Brinkmann, M Morita‐Sherman, Z Fitzgerald, ... Epilepsia 63 (7), 1630-1642, 2022 | 20 | 2022 |
| Domain-guided self-supervision of eeg data improves downstream classification performance and generalizability N Wagh, J Wei, S Rawal, B Berry, L Barnard, B Brinkmann, G Worrell, ... Machine Learning for Health, 130-142, 2021 | 20 | 2021 |
| Characterizing the electrophysiological abnormalities in visually reviewed normal EEGs of drug-resistant focal epilepsy patients Y Varatharajah, B Berry, B Joseph, I Balzekas, T Pal Attia, V Kremen, ... Brain Communications 3 (2), fcab102, 2021 | 20 | 2021 |
| A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19. Y Varatharajah, H Chen, A Trotter, RK Iyer HealthRecSys@ RecSys, 21-22, 2020 | 17 | 2020 |
| Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging KV Saboo, C Hu, Y Varatharajah, SA Przybelski, RI Reid, CG Schwarz, ... NeuroImage 251, 119020, 2022 | 15 | 2022 |
| Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts N Wagh, J Wei, S Rawal, BM Berry, Y Varatharajah Advances in Neural Information Processing Systems, 2022 | 10 | 2022 |
| Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering Y Varatharajah, BM Berry, ZT Kalbarczyk, BH Brinkmann, GA Worrell, ... 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 533-539, 2017 | 10 | 2017 |
| Electrophysiological correlates of brain health help diagnose epilepsy and lateralize seizure focus Y Varatharajah, B Berry, B Joseph, I Balzekas, V Kremen, B Brinkmann, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 9 | 2020 |
| Body area sensor network for evaluating fitness exercise Y Varatharajah, N Karunathilaka, M Rismi, S Kotinkaduwa, D Dias 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC), 1-8, 2013 | 9 | 2013 |
| A retrospective longitudinal study of COVID-19 as seen by a large urban hospital in Chicago H Chen, Y Varatharajah, SS de Ramirez, P Arnold, C Frankenberger, ... medRxiv, 2020.11. 29.20240606, 2020 | 8 | 2020 |
| Predicting brain age using structural neuroimaging and deep learning Y Varatharajah, S Baradwaj, A Kiraly, D Ardila, R Iyer, S Shetty, K Kohlhoff BioRxiv, 497925, 2018 | 8 | 2018 |
Greg WorrellProfessor of Neurology and Physiology & Biomedical Engineering, Mayo ClinicVerified email at mayo.edu