Please feel free to contact me if you need further information.


Book chapters

  • Duchateau N, Piella G, Frangi A, De Craene M.
    Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?
    In: Wu G, Shen D, & Sabuncu M, eds. Machine learning and medical imaging. Elsevier, 2016;365-82.
    www pdf
  • Duchateau N, Bijnens BH, D’hooge J, Sitges M.
    Three-dimensional assessment of cardiac motion and deformation.
    In: Shiota T, ed. 3D echocardiography, 2nd edition. CRC press, 2013;201-13.
    www pdf


  • Duchateau N, Bijnens B.
    Letter regarding the article “Additive prognostic value of left ventricular systolic dysfunction in a population-based cohort” from Kuznetsova et al.
    Circulation Cardiovascular Imaging 2016.
    www pdf

Clinical cases

  • Moceri P, Sermesant M, Baudouy D, Ferrari E, Duchateau N.
    Right ventricular function evolution with pregnancy in repaired Tetralogy of Fallot.
    Canadian Journal of Cardiology 2018. In press.
    www pdf


  • Duchateau N, De Craene M, Frangi AF.
    Statistical atlases of cardiac motion and deformation for the characterization of CRT responders.
    PhD Thesis, Universitat Pompeu Fabra, Barcelona (ES) 2012.
    www Slides pdf

Some invited talks

  • Duchateau N. Machine learning in cardiology: why do we need realistic synthetic databases?
    Cardiofunxion winter school, Lyon (FR), 2018.
    Slides Video
  • Duchateau N. Statistical atlases (with applications in cardiac imaging).
    GRIC @Journées Francophones de Radiologie: “Approches computationnelles et imagerie cardiaque”, Paris (FR), 2016.
  • Duchateau N. Motion estimation to construct statistical atlases of the heart.
    2nd USART training course GE Vingmed and KU Leuven (BE), 2013.
  • Duchateau N. Spatiotemporal analysis of myocardial motion and deformation patterns.
    Research seminar, Philips Research, Medisys, Suresnes (FR), 2013.