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Ukeob Park

Showing results (1-10 of 7) with videos related to

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Frontiers in Psychiatry|September 26, 2022
Prediction model for potential depression using sex and age-reflected quantitative EEG biomarkersTaehyoung Kim, Ukeob Park, Seung Wan Kang
Frontiers in Neuroscience|November 21, 2022
Novel quantitative electroencephalogram feature image adapted for deep learning: Verification through classification of Alzheimer's disease dementiaTaegyun Jeong, Ukeob Park, Seung Wan Kang
Frontiers in Neuroscience|January 3, 2022
Quantitative Electroencephalogram Standardization: A Sex- and Age-Differentiated Normative DatabaseJuhee Ko, Ukeob Park, Daekeun Kim, et al.
Journal of Movement Disorders|June 10, 2024
Fatigue in Parkinson's Disease Is Due to Decreased Efficiency of the Frontal Network: Quantitative EEG AnalysisMin Seung Kim, Sanguk Park, Ukeob Park, et al.
Scientific Reports|June 26, 2023
PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer's diseaseNam Heon Kim, Ukeob Park, Dong Won Yang, et al.
Frontiers in Aging Neuroscience|October 16, 2023
Machine learning-based prediction of post-stroke cognitive status using electroencephalography-derived brain network attributesMinwoo Lee, Yuseong Hong, Sungsik An, et al.
Frontiers in Aging Neuroscience|October 31, 2022
Functional brain changes using electroencephalography after a 24-week multidomain intervention program to prevent dementiaHee Kyung Park, Seong Hye Choi, SeonMyeong Kim, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Frontiers in Psychiatry|September 26, 2022
Prediction model for potential depression using sex and age-reflected quantitative EEG biomarkersTaehyoung Kim, Ukeob Park, Seung Wan Kang
Frontiers in Neuroscience|November 21, 2022
Novel quantitative electroencephalogram feature image adapted for deep learning: Verification through classification of Alzheimer's disease dementiaTaegyun Jeong, Ukeob Park, Seung Wan Kang
Frontiers in Neuroscience|January 3, 2022
Quantitative Electroencephalogram Standardization: A Sex- and Age-Differentiated Normative DatabaseJuhee Ko, Ukeob Park, Daekeun Kim, et al.
Journal of Movement Disorders|June 10, 2024
Fatigue in Parkinson's Disease Is Due to Decreased Efficiency of the Frontal Network: Quantitative EEG AnalysisMin Seung Kim, Sanguk Park, Ukeob Park, et al.
Scientific Reports|June 26, 2023
PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer's diseaseNam Heon Kim, Ukeob Park, Dong Won Yang, et al.
Frontiers in Aging Neuroscience|October 16, 2023
Machine learning-based prediction of post-stroke cognitive status using electroencephalography-derived brain network attributesMinwoo Lee, Yuseong Hong, Sungsik An, et al.
Frontiers in Aging Neuroscience|October 31, 2022
Functional brain changes using electroencephalography after a 24-week multidomain intervention program to prevent dementiaHee Kyung Park, Seong Hye Choi, SeonMyeong Kim, et al.
Pageof 1