Your browser doesn't support javascript.
loading
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.
Takagi, Shinya; Sakuma, Shigemitsu; Morita, Ichizo; Sugimoto, Eri; Yamaguchi, Yoshihiro; Higuchi, Naoya; Inamoto, Kyoko; Ariji, Yoshiko; Ariji, Eiichiro; Murakami, Hiroshi.
Afiliação
  • Takagi S; Department of Fixed Prosthodontics, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
  • Sakuma S; Department of Fixed Prosthodontics, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
  • Morita I; Japanese Red Cross Toyota College of Nursing, Toyota 471-8565, Japan.
  • Sugimoto E; Department of Pediatric Dentistry, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
  • Yamaguchi Y; Department of Fixed Prosthodontics, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
  • Higuchi N; Department of Endodontics, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
  • Inamoto K; Department of Endodontics, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
  • Ariji Y; Department of Oral and Maxillofacial Radiology, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
  • Ariji E; Department of Oral and Maxillofacial Radiology, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
  • Murakami H; Department of Gerodontology and Home Care Dentistry, School of Dentistry, Aichi Gakuin University, Nagoya 464-8651, Japan.
J Clin Med ; 9(11)2020 Oct 28.
Article em En | MEDLINE | ID: mdl-33126595
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Japão
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Japão