An attention-based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy.

Abstract

Authors

• Polydoros N Kampaktsis
• Tuan A Bohoran
  School of Science and Technology, Nottingham Trent University, Nottingham, UK.
• Mark Lebehn
  Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
• Laura McLaughlin
  Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
• Jay Leb
  Department of Radiology, Columbia University Irving Medical Center, New York, New York, USA.
• Zhonghua Liu
  The National and Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha 410081, People's Republic of China. Electronic address: Liuzh@hunnu.edu.cn.
• Serafeim Moustakidis
  AIDEAS OÜ, Narva mnt 5, Tallinn, Harju maakond, 10117, Estonia.
• Athanasios Siouras
  AiDEAS, Tallinn, Estonia.
• Anvesha Singh
  Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
• Rebecca T Hahn
  Seymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center and NewYork-Presbyterian Hospital, New York, New York, USA.
• Gerry P McCann
  Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
• Archontis Giannakidis
  School of Science and Technology, Nottingham Trent University, Nottingham, UK.

Keywords

External Resources