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Advances in Experimental Medicine and Biology
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August 16, 2016
Temporal Comparison Between NIRS and EEG Signals During a Mental Arithmetic Task Evaluated with Self-Organizing Maps
Katsunori Oyama, Kaoru Sakatani
Frontiers in Neurology
|
February 14, 2022
Machine Learning-Based Assessment of Cognitive Impairment Using Time-Resolved Near-Infrared Spectroscopy and Basic Blood Test
Katsunori Oyama, Kaoru Sakatani
Advances in Experimental Medicine and Biology
|
September 5, 2018
Prediction of MMSE Score Using Time-Resolved Near-Infrared Spectroscopy
Katsunori Oyama, Lizhen Hu, Kaoru Sakatani
Frontiers in Neurology
|
December 31, 2020
Deep Learning-Based Screening Test for Cognitive Impairment Using Basic Blood Test Data for Health Examination
Kaoru Sakatani, Katsunori Oyama, Lizhen Hu
Advances in Experimental Medicine and Biology
|
May 9, 2021
Event-Related NIRS and EEG Analysis for Mental Stress Monitoring
Labiblais Rahman, Katsunori Oyama, Atsuhiro Tsubaki, et al.
Frontiers in Neurology
|
May 19, 2022
Estimation of Human Cerebral Atrophy Based on Systemic Metabolic Status Using Machine Learning
Kaoru Sakatani, Katsunori Oyama, Lizhen Hu, et al.
Advances in Experimental Medicine and Biology
|
October 16, 2023
Relationship Between Cognitive Function, Oral Conditions and Systemic Metabolic Function in the Elderly
Kenji Karako, Yu Chen, Katsunori Oyama, et al.
Scientific Reports
|
January 25, 2026
Hydrogen inhalation is associated with a transient rightward shift in prefrontal oxyhemoglobin asymmetry and autonomic modulation
Masamichi Moriya, Katsunori Oyama, Yutaka Den, et al.
Frontiers in Neurology
|
August 8, 2024
Importance of serum albumin in machine learning-based prediction of cognitive function in the elderly using a basic blood test
Kenji Karako, Takeo Hata, Atsushi Inoue, et al.
Advances in Experimental Medicine and Biology
|
October 14, 2024
Augmenting Blood Test and Periodontal Examination Data with Generative Adversarial Networks for Enhanced Dementia Risk Prediction
Toshiki Isogai, Katsunori Oyama, Youhei Nakayama, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Advances in Experimental Medicine and Biology
|
August 16, 2016
Temporal Comparison Between NIRS and EEG Signals During a Mental Arithmetic Task Evaluated with Self-Organizing Maps
Katsunori Oyama, Kaoru Sakatani
Frontiers in Neurology
|
February 14, 2022
Machine Learning-Based Assessment of Cognitive Impairment Using Time-Resolved Near-Infrared Spectroscopy and Basic Blood Test
Katsunori Oyama, Kaoru Sakatani
Advances in Experimental Medicine and Biology
|
September 5, 2018
Prediction of MMSE Score Using Time-Resolved Near-Infrared Spectroscopy
Katsunori Oyama, Lizhen Hu, Kaoru Sakatani
Frontiers in Neurology
|
December 31, 2020
Deep Learning-Based Screening Test for Cognitive Impairment Using Basic Blood Test Data for Health Examination
Kaoru Sakatani, Katsunori Oyama, Lizhen Hu
Advances in Experimental Medicine and Biology
|
May 9, 2021
Event-Related NIRS and EEG Analysis for Mental Stress Monitoring
Labiblais Rahman, Katsunori Oyama, Atsuhiro Tsubaki, et al.
Frontiers in Neurology
|
May 19, 2022
Estimation of Human Cerebral Atrophy Based on Systemic Metabolic Status Using Machine Learning
Kaoru Sakatani, Katsunori Oyama, Lizhen Hu, et al.
Advances in Experimental Medicine and Biology
|
October 16, 2023
Relationship Between Cognitive Function, Oral Conditions and Systemic Metabolic Function in the Elderly
Kenji Karako, Yu Chen, Katsunori Oyama, et al.
Scientific Reports
|
January 25, 2026
Hydrogen inhalation is associated with a transient rightward shift in prefrontal oxyhemoglobin asymmetry and autonomic modulation
Masamichi Moriya, Katsunori Oyama, Yutaka Den, et al.
Frontiers in Neurology
|
August 8, 2024
Importance of serum albumin in machine learning-based prediction of cognitive function in the elderly using a basic blood test
Kenji Karako, Takeo Hata, Atsushi Inoue, et al.
Advances in Experimental Medicine and Biology
|
October 14, 2024
Augmenting Blood Test and Periodontal Examination Data with Generative Adversarial Networks for Enhanced Dementia Risk Prediction
Toshiki Isogai, Katsunori Oyama, Youhei Nakayama, et al.
Page
of 2