Takagi, S.; Sakuma, S.; Morita, I.; Sugimoto, E.; Yamaguchi, Y.; Higuchi, N.; Inamoto, K.; Ariji, Y.; Ariji, E.; Murakami, H.
Application of Deep Learning in the Identification of Cerebral Hemodynamics Data Obtained from Functional Near-Infrared Spectroscopy: A Preliminary Study of Pre- and Post-Tooth Clenching Assessment. J. Clin. Med. 2020, 9, 3475.
https://doi.org/10.3390/jcm9113475
AMA Style
Takagi S, Sakuma S, Morita I, Sugimoto E, Yamaguchi Y, Higuchi N, Inamoto K, Ariji Y, Ariji E, Murakami H.
Application of Deep Learning in the Identification of Cerebral Hemodynamics Data Obtained from Functional Near-Infrared Spectroscopy: A Preliminary Study of Pre- and Post-Tooth Clenching Assessment. Journal of Clinical Medicine. 2020; 9(11):3475.
https://doi.org/10.3390/jcm9113475
Chicago/Turabian Style
Takagi, Shinya, Shigemitsu Sakuma, Ichizo Morita, Eri Sugimoto, Yoshihiro Yamaguchi, Naoya Higuchi, Kyoko Inamoto, Yoshiko Ariji, Eiichiro Ariji, and Hiroshi Murakami.
2020. "Application of Deep Learning in the Identification of Cerebral Hemodynamics Data Obtained from Functional Near-Infrared Spectroscopy: A Preliminary Study of Pre- and Post-Tooth Clenching Assessment" Journal of Clinical Medicine 9, no. 11: 3475.
https://doi.org/10.3390/jcm9113475
APA Style
Takagi, S., Sakuma, S., Morita, I., Sugimoto, E., Yamaguchi, Y., Higuchi, N., Inamoto, K., Ariji, Y., Ariji, E., & Murakami, H.
(2020). Application of Deep Learning in the Identification of Cerebral Hemodynamics Data Obtained from Functional Near-Infrared Spectroscopy: A Preliminary Study of Pre- and Post-Tooth Clenching Assessment. Journal of Clinical Medicine, 9(11), 3475.
https://doi.org/10.3390/jcm9113475
