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Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging.
Williams, Michelle C; Bednarski, Bryan P; Pieszko, Konrad; Miller, Robert J H; Kwiecinski, Jacek; Shanbhag, Aakash; Liang, Joanna X; Huang, Cathleen; Sharir, Tali; Dorbala, Sharmila; Di Carli, Marcelo F; Einstein, Andrew J; Sinusas, Albert J; Miller, Edward J; Bateman, Timothy M; Fish, Mathews B; Ruddy, Terrence D; Acampa, Wanda; Hauser, M Timothy; Kaufmann, Philipp A; Dey, Damini; Berman, Daniel S; Slomka, Piotr J.
Affiliation
  • Williams MC; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Bednarski BP; British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Pieszko K; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Miller RJH; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Kwiecinski J; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Shanbhag A; Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada.
  • Liang JX; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Huang C; Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
  • Sharir T; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Dorbala S; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Di Carli MF; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Einstein AJ; Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, and Ben Gurion University of the Negev, Beer Sheba, Israel.
  • Sinusas AJ; Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA, USA.
  • Miller EJ; Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA, USA.
  • Bateman TM; Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA.
  • Fish MB; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Ruddy TD; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Acampa W; Cardiovascular Imaging Technologies LLC, Kansas City, MO, USA.
  • Hauser MT; Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA.
  • Kaufmann PA; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada.
  • Dey D; Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
  • Berman DS; Department of Nuclear Cardiology, Oklahoma Heart Hospital, Oklahoma City, OK, USA.
  • Slomka PJ; Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
Eur J Nucl Med Mol Imaging ; 50(9): 2656-2668, 2023 07.
Article in En | MEDLINE | ID: mdl-37067586
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Full text: 1 Database: MEDLINE Main subject: Coronary Artery Disease / Myocardial Perfusion Imaging Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Year: 2023 Type: Article
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Coronary Artery Disease / Myocardial Perfusion Imaging Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Year: 2023 Type: Article