| EEG dataset and OpenBMI toolbox for three BCI paradigms: An investigation into BCI illiteracy MH Lee, OY Kwon, YJ Kim, HK Kim, YE Lee, J Williamson, S Fazli, ... GigaScience 8 (5), giz002, 2019 | 461 | 2019 |
| Subject-independent brain–computer interfaces based on deep convolutional neural networks OY Kwon, MH Lee, C Guan, SW Lee IEEE transactions on neural networks and learning systems 31 (10), 3839-3852, 2019 | 328 | 2019 |
| Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services DY Kang, KJ Cho, O Kwon, J Kwon, KH Jeon, H Park, Y Lee, J Park, ... Scandinavian journal of trauma, resuscitation and emergency medicine 28, 1-8, 2020 | 117 | 2020 |
| Detecting patient deterioration using artificial intelligence in a rapid response system KJ Cho, O Kwon, J Kwon, Y Lee, H Park, KH Jeon, KH Kim, J Park, BH Oh Critical care medicine 48 (4), e285-e289, 2020 | 78 | 2020 |
| A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards YJ Lee, KJ Cho, O Kwon, H Park, Y Lee, JM Kwon, J Park, JS Kim, MJ Lee, ... Resuscitation 163, 78-85, 2021 | 35 | 2021 |
| Development and validation of a deep-learning-based pediatric early warning system: a single-center study SJ Park, KJ Cho, O Kwon, H Park, Y Lee, WH Shim, CR Park, WK Jhang biomedical journal 45 (1), 155-168, 2022 | 22 | 2022 |
| Graph convolutional networks-based noisy data imputation in electronic health record BT Lee, OY Kwon, H Park, KJ Cho, JM Kwon, Y Lee Critical Care Medicine 48 (11), e1106-e1111, 2020 | 14 | 2020 |
| Quick sequential organ failure assessment score and the modified early warning score for predicting clinical deterioration in general ward patients Regardless of suspected … RE Ko, O Kwon, KJ Cho, YJ Lee, J Kwon, J Park, JS Kim, AJ Kim, YH Jo, ... Journal of Korean medical science 37 (16), 2022 | 10 | 2022 |
| Evaluating the risk of paroxysmal atrial fibrillation in noncardioembolic ischemic stroke using artificial intelligence-enabled ECG algorithm C Han, O Kwon, M Chang, S Joo, Y Lee, JS Lee, JM Hong, SJ Lee, ... Frontiers in Cardiovascular Medicine 9, 865852, 2022 | 7 | 2022 |
| EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy. GigaScience. 2019; 8 (5): giz002 MH Lee, OY Kwon, YJ Kim, HK Kim, YE Lee, J Williamson, S Fazli, ... | 7 | |
| Improving the performance of a neural network for early prediction of sepsis BT Lee, KJ Cho, O Kwon, Y Lee 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 3 | 2019 |
| Portable ecg measuring device K Oyeon, BAE Woong, LEE Yeha US Patent App. 18/632,087, 2024 | | 2024 |
| Portable ECG measuring device K Oyeon, BAE Woong, LEE Yeha US Patent 11,980,471, 2024 | | 2024 |
| Deep neural network pre-training method for classifying electrocardiogram (ecg) data B Lee, S Youngjae, BAE Woong, K Oyeon US Patent App. 17/464,685, 2022 | | 2022 |
| Disease judgement method BT Lee, BAE Woong, K Oyeon US Patent App. 17/466,736, 2022 | | 2022 |