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Highlights of the Virtual Society for Cardiovascular Magnetic Resonance 2022 Scientific Conference: CMR: improving cardiovascular care around the world.
Ojha, Vineeta; Khalique, Omar K; Khurana, Rishabh; Lorenzatti, Daniel; Leung, Steve W; Lawton, Benny; Slesnick, Timothy C; Cavalcante, Joao C; Ducci, Chiara-Bucciarelli; Patel, Amit R; Prieto, Claudia C; Plein, Sven; Raman, Subha V; Salerno, Michael; Parwani, Purvi.
Afiliação
  • Ojha V; All India Institute of Medical Sciences, New Delhi, India.
  • Khalique OK; Saint Francis Hospital and Catholic Health, Roslyn, NY, USA.
  • Khurana R; All India Institute of Medical Sciences, New Delhi, India.
  • Lorenzatti D; Hospital Universitari de Vic, Vic, Barcelona, Spain.
  • Leung SW; Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY, USA.
  • Lawton B; St Joseph's Hospital, Malpas, Newport, Wales.
  • Slesnick TC; Emory University School of Medicine, Atlanta, GA, USA.
  • Cavalcante JC; Minneapolis Heart Institute, Minneapolis, MN, USA.
  • Ducci CB; Royal Brompton and Harefield Hospitals, King's College London, London, UK.
  • Patel AR; Division of Cardiovascular Medicine, University of Virginia, Charlottesville, VA, USA.
  • Prieto CC; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Plein S; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Raman SV; Indiana University Cardiovascular Institute and Krannert Cardiovascular Research Center, Indianapolis, IN, USA.
  • Salerno M; Department of Medicine, Stanford University, Stanford, CA, USA.
  • Parwani P; Division of Cardiology, Department of Medicine, Loma Linda University Health, Loma Linda University Medical Center, Loma Linda, CA, USA. pparwani@llu.edu.
J Cardiovasc Magn Reson ; 24(1): 38, 2022 06 20.
Article em En | MEDLINE | ID: mdl-35725565
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sistema Cardiovascular Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sistema Cardiovascular Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article