Your browser doesn't support javascript.
loading
Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning.
Aronis, Konstantinos N; Prakosa, Adityo; Bergamaschi, Teya; Berger, Ronald D; Boyle, Patrick M; Chrispin, Jonathan; Ju, Suyeon; Marine, Joseph E; Sinha, Sunil; Tandri, Harikrishna; Ashikaga, Hiroshi; Trayanova, Natalia A.
Affiliation
  • Aronis KN; Section of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, United States.
  • Prakosa A; Department of Biomedical Engineering, The Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.
  • Bergamaschi T; Department of Biomedical Engineering, The Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.
  • Berger RD; Department of Biomedical Engineering, The Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.
  • Boyle PM; Section of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, United States.
  • Chrispin J; Department of Biomedical Engineering, The Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.
  • Ju S; Section of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, United States.
  • Marine JE; Department of Biomedical Engineering, The Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.
  • Sinha S; Section of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, United States.
  • Tandri H; Section of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, United States.
  • Ashikaga H; Section of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, United States.
  • Trayanova NA; Section of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, United States.
Front Physiol ; 12: 684149, 2021.
Article in En | MEDLINE | ID: mdl-34335294

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Physiol Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Physiol Year: 2021 Document type: Article Affiliation country: Country of publication: