임창환

전체 600건 중 91번부터 100번까지의 결과를 표시합니다.

2024

Conference

Music with Light Improves Relaxation: An EEG Study

임창환

2024-07-09

Article

Functional Near-Infrared Spectroscopy-Based Computer-Aided Diagnosis of Major Depressive Disorder Using Convolutional Neural Network with a New Channel Embedding Layer Considering Inter-Hemispheric Asymmetry in Prefrontal Hemodynamic Responses

Lee, Kyeonggu ;
Kwon, Jinuk ;
Chun, Minyoung ;
Choi, Jongkwan ;
Lee, Seung-Hwan ;
... Im, Chang-Hwan

2024-07
Depression and Anxiety
WILEY

Conference

Optimizing Multi-Channel tES to Improve Robustness to Electrode Displacement: A Simulation Study

임창환

2024-06-27

Conference

EEG-based VR Cybersickness Detection Using Domain Adversarial Deep Learning Model

임창환

2024-06-27

Conference

Dynamic Functional Brain Network of rsEEG to Predict Antidepressant Responses in Patients with MDD

임창환

2024-06-27

Conference

Synthesis of Spoken Words from Low-Density Electrocorticography with a Small Amount of Training Data

임창환

2024-05-31

Conference

Improvement of Accuracy in Electrocorticogram Based Speech Synthesis Using Accelerometers

임창환

2024-05-31

Conference

Machine-learning-based prediction of photobiomodulationeffects on older adults with cognitive decline using functional near-infrared spectroscopy

임창환

2024-05-24

Conference

Prediction of Treatment Effectiveness and Early Stopping of Treatment Using Functional Near-Infrared Spectroscopy Simultaneously Recorded during Home-based Transcranial Photobiomodulation (tPBM) Therapy in Older Adults with Cognitive Decline

임창환

2024-05-24

Conference

Machine-Learning-Based Prediction of Photobiomodulation Effects for Old Adults with Cofnitive Decline Using Functional Near-Infrared Spectroscopy Before Treatment

임창환

2024-05-16

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Music with Light Improves Relaxation: An EEG Study

Functional Near-Infrared Spectroscopy-Based Computer-Aided Diagnosis of Major Depressive Disorder Using Convolutional Neural Network with a New Channel Embedding Layer Considering Inter-Hemispheric Asymmetry in Prefrontal Hemodynamic Responses

Optimizing Multi-Channel tES to Improve Robustness to Electrode Displacement: A Simulation Study

EEG-based VR Cybersickness Detection Using Domain Adversarial Deep Learning Model

Dynamic Functional Brain Network of rsEEG to Predict Antidepressant Responses in Patients with MDD

Synthesis of Spoken Words from Low-Density Electrocorticography with a Small Amount of Training Data

Improvement of Accuracy in Electrocorticogram Based Speech Synthesis Using Accelerometers

Machine-learning-based prediction of photobiomodulationeffects on older adults with cognitive decline using functional near-infrared spectroscopy

Prediction of Treatment Effectiveness and Early Stopping of Treatment Using Functional Near-Infrared Spectroscopy Simultaneously Recorded during Home-based Transcranial Photobiomodulation (tPBM) Therapy in Older Adults with Cognitive Decline

Machine-Learning-Based Prediction of Photobiomodulation Effects for Old Adults with Cofnitive Decline Using Functional Near-Infrared Spectroscopy Before Treatment