Your browser doesn't support javascript.
loading
Interpretable deep learning for the prognosis of long-term functional outcome post-stroke using acute diffusion weighted imaging.
Moulton, Eric; Valabregue, Romain; Piotin, Michel; Marnat, Gaultier; Saleme, Suzana; Lapergue, Bertrand; Lehericy, Stephane; Clarencon, Frederic; Rosso, Charlotte.
Affiliation
  • Moulton E; Institut du Cerveau et de la Moelle épinière, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France.
  • Valabregue R; Institut du Cerveau et de la Moelle épinière, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France.
  • Piotin M; Centre de Neuro-Imagerie de Recherche, CENIR, ICM, Paris, France.
  • Marnat G; Department of Diagnostic and Interventional Neuroradiology, Rothschild Foundation, Paris, France.
  • Saleme S; Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bordeaux, Bordeaux, France.
  • Lapergue B; Diagnostic and Interventional Neuroradiology, University Hospital of Limoges, Limoges, France.
  • Lehericy S; Department of Stroke Center and Diagnostic and Interventional Neuroradiology, University of Versailles and Saint Quentin en Yvelines, Foch Hospital, Suresnes, France.
  • Clarencon F; Institut du Cerveau et de la Moelle épinière, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France.
  • Rosso C; Centre de Neuro-Imagerie de Recherche, CENIR, ICM, Paris, France.
J Cereb Blood Flow Metab ; 43(2): 198-209, 2023 02.
Article in En | MEDLINE | ID: mdl-36169033

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Ischemia / Stroke / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Cereb Blood Flow Metab Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Ischemia / Stroke / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Cereb Blood Flow Metab Year: 2023 Document type: Article Affiliation country: Country of publication: