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Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis.
Zhou, George; Chen, Yunchan; Chien, Candace; Revatta, Leslie; Ferdous, Jannatul; Chen, Michelle; Deb, Shourov; De Leon Cruz, Sol; Wang, Alan; Lee, Benjamin; Sabuncu, Mert R; Browne, William; Wun, Herrick; Mosadegh, Bobak.
Afiliación
  • Zhou G; Weill Cornell Medicine, New York, NY, 10021, USA. gez4001@med.cornell.edu.
  • Chen Y; Weill Cornell Medicine, New York, NY, 10021, USA.
  • Chien C; Weill Cornell Medicine, New York, NY, 10021, USA.
  • Revatta L; City University of New York, Hunter College, New York, NY, 10021, USA.
  • Ferdous J; City University of New York, Hunter College, New York, NY, 10021, USA.
  • Chen M; City University of New York, Hunter College, New York, NY, 10021, USA.
  • Deb S; City University of New York, Hunter College, New York, NY, 10021, USA.
  • De Leon Cruz S; City University of New York, Hunter College, New York, NY, 10021, USA.
  • Wang A; School of Electrical and Computer Engineering, Cornell University and Cornell Tech, New York, NY, 10044, USA.
  • Lee B; Department of Radiology, Weill Cornell Medicine, New York, NY, 10021, USA.
  • Sabuncu MR; School of Electrical and Computer Engineering, Cornell University and Cornell Tech, New York, NY, 10044, USA.
  • Browne W; Department of Radiology, Weill Cornell Medicine, New York, NY, 10021, USA.
  • Wun H; Department of Interventional Radiology, NewYork-Presbyterian Hospital, New York, NY, 10021, USA.
  • Mosadegh B; Department of Vascular Surgery, NewYork-Presbyterian Hospital, New York, NY, 10021, USA. hew3001@med.cornell.edu.
NPJ Digit Med ; 6(1): 163, 2023 Sep 01.
Article en En | MEDLINE | ID: mdl-37658233

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Screening_studies Idioma: En Revista: NPJ Digit Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Screening_studies Idioma: En Revista: NPJ Digit Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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