Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis.

Abstract

Authors

• Gerhard Paul Diller
  Department of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Muenster, Germany Gerhard.Diller@ukmuenster.de.
• Stefan Orwat
  Department of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
• Julius Vahle
  Department of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Muenster, Germany.
• Ulrike M M Bauer
  Competence Network for Congenital Heart Defects, DZHK (German Centre for Cardiovascular Research), Berlin, Germany.
• Aleksandra Urban
  National Register for Congenital Heart Defects, DZHK (German Centre for Cardiovascular Research), Berlin, Germany.
• Samir Sarikouch
  Department of Heart- Thoracic- Transplantation- and Vascular Surgery, Hannover Medical School, Hannover, Germany.
• Felix Berger
  Department of Congenital Heart Disease - Pediatric Cardiology, German Heart Institute Berlin, Augustenburger Platz 1, Berlin, Germany.
• Philipp Beerbaum
  Department for Pediatric Cardiology and Intensive Care Medicine, Hannover Medical School, 30625, Hannover, Germany.
• Helmut Baumgartner
  Department of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.

Keywords

External Resources