Overview

Acdc article

Main organizers

Pierre-Marc Jodoin
Videos & Images Theory and Analytics Laboratory, University of
Sherbrooke (Canada)

Alain Lalande
Biophysicist, Medical Imaging team, Le2i laboratory,
Faculty of Medicine, University of Burgundy-Franche Comte, Dijon,
MRI department, University Hospital of Dijon, Dijon (France)

Olivier Bernard
Creatis laboratory, University of Lyon (France)

Medical Expert Committee Members

Olivier Humbert
Physician/expert in medical imaging,
Laboratory of Transporters, Imaging, Radiotherapy in Oncology,
Unite Mixte de Recherche E4320, Institut de Biosciences et
Biotechnologies, CEA, Nice, France,
Nuclear Medecine Department, Centre Antoine-Lacassagne, University of Nice-Sophia Antipolis, Nice (France).

Alain Lalande
Biophysicist, Medical Imaging team, Le2i laboratory,
Faculty of Medicine, University of Burgundy-Franche Comte, Dijon,
MRI department, University Hospital of Dijon, Dijon (France)

Technical advisers

Clement Zotti
Videos & Images Theory and Analytics Laboratory, University of
Sherbrooke (Canada)

Frederic Cervenansky
Creatis laboratory, University of Lyon (France)

Please refer to this citation for any use of the ACDC database

  • O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, et al.
    "Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and
    Diagnosis: Is the Problem Solved ?" in IEEE Transactions on Medical Imaging,
    vol. 37, no. 11, pp. 2514-2525, Nov. 2018

    doi: 10.1109/TMI.2018.2837502