Your browser doesn't support javascript.
loading
Improving microstructural integrity, interstitial fluid, and blood microcirculation images from multi-b-value diffusion MRI using physics-informed neural networks in cerebrovascular disease.
Voorter, Paulien H M; Backes, Walter H; Gurney-Champion, Oliver J; Wong, Sau-May; Staals, Julie; van Oostenbrugge, Robert J; van der Thiel, Merel M; Jansen, Jacobus F A; Drenthen, Gerhard S.
Afiliação
  • Voorter PHM; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Backes WH; School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
  • Gurney-Champion OJ; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Wong SM; School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
  • Staals J; School for Cardiovascular Disease, Maastricht University, Maastricht, The Netherlands.
  • van Oostenbrugge RJ; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Cancer Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands.
  • van der Thiel MM; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Jansen JFA; School for Cardiovascular Disease, Maastricht University, Maastricht, The Netherlands.
  • Drenthen GS; Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands.
Magn Reson Med ; 90(4): 1657-1671, 2023 10.
Article em En | MEDLINE | ID: mdl-37317641

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Cerebrovasculares / Líquido Extracelular Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Cerebrovasculares / Líquido Extracelular Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article