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Quantitative Assessment of Resting State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach

机译：温和认知障碍检测休息状态的定量评估：一种功能近红外光谱和深度学习方法

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Dalin Yang; Keum-Shik Hong;
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2. Functional Network Alterations in Patients With Amnestic Mild Cognitive Impairment Characterized Using Functional Near-Infrared Spectroscopy [J] . IEEE transactions on neural systems and rehabilitation engineering . 2020,第1期

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3. Investigation of brain functional connectivity in patients with mild cognitive impairment: A functional near-infrared spectroscopy (fNIRS) study [J] . Nguyen Thien, Kim Minhee, Gwak Jeonghwan, Journal of Biophotonics . 2019,第9期

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4. Early Detection of Mild Cognitive Impairment Progression Using Non-Wearable Sensor Data – a Deep Learning Approach [C] . Rajaram Narasimhan, Muthukumaran G, Charles McGlade, IEEE Bangalore Humanitarian Technology Conference . 2020

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5. Development of protocols for deep vein thrombosis detection in the mobility impaired using near-infrared spectroscopy [D] . Vaccaro, Devon Jean 2003

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6. Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy [O] . Dalin Yang, Ruisen Huang, So-Hyeon Yoo, 2020

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7. Prefrontal functional connectivity analysis of cognitive decline for early diagnosis of mild cognitive impairment: a functional near-infrared spectroscopy study [O] . Jin-Woo Yu, Sung-Ho Lim, Bomin Kim, 2020

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Quantitative Assessment of Resting State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach

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