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Improving accuracy of myocardial T1 estimation in MyoMapNet.
Guo, Rui; Chen, Zhensen; Amyar, Amine; El-Rewaidy, Hossam; Assana, Salah; Rodriguez, Jennifer; Pierce, Patrick; Goddu, Beth; Nezafat, Reza.
Affiliation
  • Guo R; Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • Chen Z; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.
  • Amyar A; Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • El-Rewaidy H; Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • Assana S; Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • Rodriguez J; Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • Pierce P; Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • Goddu B; Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • Nezafat R; Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
Magn Reson Med ; 88(6): 2573-2582, 2022 Dec.
Article in En | MEDLINE | ID: mdl-35916305
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Myocardium Type of study: Prognostic_studies Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Myocardium Type of study: Prognostic_studies Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article