Search Results - "Lee, Seong‐Whan"

Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification by Chen, Xiaobo, Zhang, Han, Zhang, Lichi, Shen, Celina, Lee, Seong‐Whan, Shen, Dinggang

“…Brain functional connectivity (FC) extracted from resting‐state fMRI (RS‐fMRI) has become a popular approach for diagnosing various neurodegenerative diseases,…”
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A convolutional neural network for steady state visual evoked potential classification under ambulatory environment by Kwak, No-Sang, Müller, Klaus-Robert, Lee, Seong-Whan

“…The robust analysis of neural signals is a challenging problem. Here, we contribute a convolutional neural network (CNN) for the robust classification of a…”
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Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis by Zhang, Yu, Zhang, Han, Chen, Xiaobo, Lee, Seong-Whan, Shen, Dinggang

“…Conventional functional connectivity (FC), referred to as low-order FC, estimates temporal correlation of the resting-state functional magnetic resonance…”
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A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks by Kim, Keun-Tae, Guan, Cuntai, Lee, Seong-Whan

“…In recent years, electromyography (EMG)-based practical myoelectric interfaces have been developed to improve the quality of daily life for people with…”
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Strength and similarity guided group-level brain functional network construction for MCI diagnosis by Zhang, Yu, Zhang, Han, Chen, Xiaobo, Liu, Mingxia, Zhu, Xiaofeng, Lee, Seong-Whan, Shen, Dinggang

“…Sparse representation-based brain functional network modeling often results in large inter-subject variability in the network structure. This could reduce the…”
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A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces by SUK, Heung-Ii, LEE, Seong-Whan

“…As there has been a paradigm shift in the learning load from a human subject to a computer, machine learning has been considered as a useful tool for…”
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Enhancing the representation of functional connectivity networks by fusing multi‐view information for autism spectrum disorder diagnosis by Huang, Huifang, Liu, Xingdan, Jin, Yan, Lee, Seong‐Whan, Wee, Chong‐Yaw, Shen, Dinggang

“…Functional connectivity network provides novel insights on how distributed brain regions are functionally integrated, and its deviations from healthy brain…”
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An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images by PARK, Jeong-Seon, LEE, Seong-Whan

“…This paper proposes a face hallucination method for the reconstruction of high-resolution facial images from single-frame, low-resolution facial images. The…”
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Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements From Electroencephalogram Signals by Kim, Jeong-Hun, Biessmann, Felix, Lee, Seong-Whan

“…Decoding motor commands from noninvasively measured neural signals has become important in brain-computer interface (BCI) research. Applications of BCI include…”
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Changes of functional and effective connectivity in smoking replenishment on deprived heavy smokers: a resting-state FMRI study by Ding, Xiaoyu, Lee, Seong-Whan

“…Previous researches have explored the changes of functional connectivity caused by smoking with the aid of fMRI. This study considers not only functional…”
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A Robust Lane Detection Method Based on Vanishing Point Estimation Using the Relevance of Line Segments by Yoo, Ju Han, Lee, Seong-Whan, Park, Sung-Kee, Kim, Dong Hwan

“…In this paper, a robust lane detection method based on vanishing point estimation is proposed. Estimating a vanishing point can be helpful in detecting lanes,…”
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Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification by Lee, Seung-Bo, Kim, Hyun-Ji, Kim, Hakseung, Jeong, Ji-Hoon, Lee, Seong-Whan, Kim, Dong-Joo

“…•The efficacies of three EEG feature domains for motor imagery BCI were investigated.•Contrary to common beliefs, the temporal features were best suited for…”
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Network Properties in Transitions of Consciousness during Propofol-induced Sedation by Lee, Minji, Sanders, Robert D., Yeom, Seul-Ki, Won, Dong-Ok, Seo, Kwang-Suk, Kim, Hyun Jeong, Tononi, Giulio, Lee, Seong-Whan

“…Reliable electroencephalography (EEG) signatures of transitions between consciousness and unconsciousness under anaesthesia have not yet been identified…”
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NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework by Cho, Jeong-Hyun, Jeong, Ji-Hoon, Lee, Seong-Whan

“…Brain-computer interfaces (BCIs) have been widely employed to identify and estimate a user's intention to trigger a robotic device by decoding motor imagery…”
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Multiple functional networks modeling for autism spectrum disorder diagnosis by Kam, Tae‐Eui, Suk, Heung‐Il, Lee, Seong‐Whan

“…Despite countless studies on autism spectrum disorder (ASD), diagnosis relies on specific behavioral criteria and neuroimaging biomarkers for the disorder are…”
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Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks by Zhao, Feng, Chen, Zhiyuan, Rekik, Islem, Lee, Seong-Whan, Shen, Dinggang

“…The sliding-window-based dynamic functional connectivity networks (D-FCNs) derived from resting-state functional magnetic resonance imaging (rs-fMRI) are…”
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Learning Spatiotemporal Graph Representations for Visual Perception using EEG Signals by Kalafatovich, Jenifer, Lee, Minji, Lee, Seong-Whan

“…Perceiving and recognizing objects enable interaction with the external environment. Recently, decoding brain signals based on brain-computer interface (BCI)…”
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Connectivity differences between consciousness and unconsciousness in non-rapid eye movement sleep: a TMS–EEG study by Lee, Minji, Baird, Benjamin, Gosseries, Olivia, Nieminen, Jaakko O., Boly, Melanie, Postle, Bradley R., Tononi, Giulio, Lee, Seong-Whan

“…The neuronal connectivity patterns that differentiate consciousness from unconsciousness remain unclear. Previous studies have demonstrated that effective…”
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Possible Effect of Binaural Beat Combined With Autonomous Sensory Meridian Response for Inducing Sleep by Lee, Minji, Song, Chae-Bin, Shin, Gi-Hwan, Lee, Seong-Whan

“…Sleep is important to maintain physical and cognitive functions in everyday life. However, the prevalence of sleep disorders is on the rise. One existing…”
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Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling by Lee, Minji, Yoon, Jae-Geun, Lee, Seong-Whan

“…Motor imagery-based brain-computer interfaces (MI-BCIs) send commands to a computer using the brain activity registered when a subject imagines—but does not…”
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