| Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification SB Lee, HJ Kim, H Kim, JH Jeong, SW Lee, DJ Kim Information Sciences 502, 190-200, 2019 | 88 | 2019 |
| Predicting Parkinson's disease using gradient boosting decision tree models with electroencephalography signals SB Lee, YJ Kim, S Hwang, H Son, SK Lee, KI Park, YG Kim Parkinsonism & Related Disorders 95, 77-85, 2022 | 34 | 2022 |
| Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury SB Lee, H Kim, YT Kim, FA Zeiler, P Smielewski, M Czosnyka, DJ Kim Journal of Neurosurgery 132 (6), 1952-1960, 2019 | 27 | 2019 |
| Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms Y Son, SB Lee, H Kim, ES Song, H Huh, M Czosnyka, DJ Kim Information Sciences 456, 145-158, 2018 | 19 | 2018 |
| Hemodynamic instability and cardiovascular events after traumatic brain injury predict outcome after artifact removal with deep belief network analysis H Kim, SB Lee, Y Son, M Czosnyka, DJ Kim Journal of Neurosurgical Anesthesiology 30 (4), 347-353, 2018 | 16 | 2018 |
| Detection of depression and suicide risk based on text from clinical interviews using machine learning: possibility of a new objective diagnostic marker D Shin, K Kim, SB Lee, C Lee, YS Bae, WI Cho, MJ Kim, ... Frontiers in psychiatry 13, 801301, 2022 | 11 | 2022 |
| Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification SB Lee, H Kim, JH Jeong, IN Wang, SW Lee, DJ Kim 2019 7th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2019 | 6 | 2019 |
| A machine learning approach for predicting suicidal ideation in post stroke patients SI Song, HT Hong, C Lee, SB Lee Scientific reports 12 (1), 15906, 2022 | 5 | 2022 |
| Classification of computed tomography scanner manufacturer using support vector machine SB Lee, EJ Jeong, Y Son, DJ Kim 2017 5th International Winter Conference on Brain-Computer Interface (BCI …, 2017 | 5 | 2017 |
| Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability J Yoo, I Yoo, I Youn, SM Kim, R Yu, K Kim, K Kim, SB Lee Computer Methods and Programs in Biomedicine 226, 107079, 2022 | 4 | 2022 |
| Reduced burden of individual calibration process in brain-computer interface by clustering the subjects based on brain activation YT Kim, S Lee, H Kim, SB Lee, SW Lee, DJ Kim 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 4 | 2019 |
| Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning Y Shin, S Hwang, SB Lee, H Son, K Chu, KY Jung, SK Lee, KI Park, ... Scientific Reports 13 (1), 22532, 2023 | 3 | 2023 |
| Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population KN Heo, JY Seok, YM Ah, K Kim, SB Lee, JY Lee BMC geriatrics 23 (1), 830, 2023 | 3 | 2023 |
| Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping YT Kim, SB Lee, H Kim, JH Jeong, SW Lee, DJ Kim 2019 7th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2019 | 3 | 2019 |
| Machine learning-based discrimination of cardiovascular outcomes in patients with hypertrophic cardiomyopathy TM Rhee, YK Ko, HK Kim, SB Lee, BS Kim, HM Choi, IC Hwang, JB Park, ... JACC: Asia 4 (5), 375-386, 2024 | 2 | 2024 |
| Comparative study of time-frequency transformation methods for ECG signal classification MS Song, SB Lee Frontiers in Signal Processing 4, 1322334, 2024 | 2 | 2024 |
| Machine learning-based prediction model for emergency department visits using prescription information in community-dwelling non-cancer older adults S Park, C Lee, SB Lee, J Lee Scientific Reports 13 (1), 18887, 2023 | 2 | 2023 |
| Using the axial oblique view of computed tomography (ct) in evaluating femoral anteversion: a comparative cadaveric study KS Song, CJ Yon, YR Heo, JH Lee, SB Lee, YK Ko, KJ Lee, SW Lee Diagnostics 12 (8), 1820, 2022 | 2 | 2022 |
| Complex motor imagery-based brain-computer interface system: A comparison between different classifiers SB Lee, MK Jung, H Kim, SW Lee, DJ Kim 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 2 | 2020 |
| Classification of the motion artifacts in near-infrared spectroscopy based on wavelet statistical feature SB Lee, H Kim, S Lee, HJ Kim, SW Lee, DJ Kim 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 2 | 2019 |
