Your browser doesn't support javascript.
loading
Comparison of In-Vivo and Ex-Vivo Ascending Aorta Elastic Properties through Automatic Deep Learning Segmentation of Cine-MRI and Biomechanical Testing.
Markodimitrakis, Emmanouil; Lin, Siyu; Koutoulakis, Emmanouil; Marín-Castrillón, Diana Marcela; Tovar Sáez, Francisco Aarón; Leclerc, Sarah; Bernard, Chloé; Boucher, Arnaud; Presles, Benoit; Bouchot, Olivier; Decourselle, Thomas; Morgant, Marie-Catherine; Lalande, Alain.
Afiliação
  • Markodimitrakis E; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Lin S; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Koutoulakis E; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Marín-Castrillón DM; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Tovar Sáez FA; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Leclerc S; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Bernard C; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Boucher A; Department of Cardio-Vascular and Thoracic Surgery, University Hospital of Dijon, 21079 Dijon, France.
  • Presles B; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Bouchot O; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Decourselle T; ImViA Laboratory, EA 7535, University of Burgundy and Franche-Comte, 21000 Dijon, France.
  • Morgant MC; Department of Cardio-Vascular and Thoracic Surgery, University Hospital of Dijon, 21079 Dijon, France.
  • Lalande A; CASIS-CArdiac Simulation & Imaging Software SAS, 21800 Quetigny, France.
J Clin Med ; 12(2)2023 Jan 04.
Article em En | MEDLINE | ID: mdl-36675331

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article