[HTML][HTML] Detection of mild cognitive impairment using convolutional neural network: temporal-feature maps of functional near-infrared spectroscopy

D Yang, R Huang, SH Yoo, MJ Shin… - Frontiers in Aging …, 2020 - frontiersin.org
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …

Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy.

D Yang, R Huang, SH Yoo, MJ Shin… - Frontiers in Aging …, 2020 - europepmc.org
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …

Detection of mild cognitive impairment using convolutional neural network: Temporal-feature maps of functional near-infrared spectroscopy.

D Yang, R Huang, SH Yoo, MJ Shin… - Frontiers in Aging …, 2020 - psycnet.apa.org
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …

Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy.

D Yang, R Huang, SH Yoo, MJ Shin… - Frontiers in Aging …, 2020 - search.ebscohost.com
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …

[引用][C] Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy

D Yang, R Huang, SH Yoo, MJ Shin, JA Yoon… - Frontiers in Aging …, 2020 - cir.nii.ac.jp
Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature
Maps of Functional Near-Infrared Spectroscopy | CiNii Research CiNii 国立情報学研究所 学術 …

Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy

D Yang, R Huang, SH Yoo, MJ Shin… - Translational …, 2022 - books.google.com
Alzheimer's disease (AD) is authoritatively listed as the sixth leading cause of death in the
United States (US), and it is also the fifth primary cause of death for those aged 65 years and …

[HTML][HTML] Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy

D Yang, R Huang, SH Yoo, MJ Shin… - Frontiers in Aging …, 2020 - ncbi.nlm.nih.gov
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …

[PDF][PDF] Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy

D Yang, R Huang, SH Yoo, MJ Shin, JA Yoon, YI Shin… - researchgate.net
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …

[PDF][PDF] Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy

D Yang, R Huang, SH Yoo, MJ Shin, JA Yoon, YI Shin… - cogno.pusan.ac.kr
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …

Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy

D Yang, R Huang, SH Yoo, MJ Shin… - Frontiers in aging …, 2020 - pubmed.ncbi.nlm.nih.gov
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …