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Seung-Bo Lee
Seung-Bo Lee
Department of Medical Informatics, Keimyung University School of Medicine
Verified email at kmu.ac.kr
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Cited by
Year
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
832019
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
292022
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
232019
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
172018
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
152018
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
72022
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
52019
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
52017
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
42022
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
32019
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
32019
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
22022
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
22022
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
22019
Robust arterial blood pressure onset detection method from signal artifacts
SB Lee, ES Song, H Kim, DJ Kim
2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018
22018
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, 2024
12024
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
12023
Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19
JY Kang, YS Bae, EK Chie, SB Lee
Sensors 23 (23), 9597, 2023
12023
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
12023
Real-time evaluation of cerebral autoregulation based on near-infrared spectroscopy to predict clinical outcome after bypass surgery in Moyamoya disease
J Kim, EJ Ha, HS Kim, EY Park, HC Lee, YH Choo, Y Shim, K Kim, K Kim, ...
BioMed Research International 2022, 2022
12022
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