RECENT PAPERS

Cardiac strain estimation

Motion estimation by deep learning in 2D echocardiography: synthetic dataset and validation

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Color Doppler simulation

A pipeline for the generation of synthetic cardiac color Doppler

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Cardiac segmentation

ardiac Segmentation with Strong Anatomical Guarantees

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OLIVIER BERNARD

  • Full professor at Creatis, University of Lyon, INSA, France
  • previously, Associate editor of the IEEE Transactions on Image Processing (IEEE TIP), from 2013 to 2016.
  • previously, Invited professor, Swiss Federal Institute of Technology (EPFL), and researcher at the Signal Processing Laboratory (LTS5), Switzerland, 2013.
  • olivier.bernard at creatis.insa-lyon.fr

Research interests

  • Ultrasound imaging, Echocardiography, Beamforming
  • Realistic cardiac sequence simulation, Texture synthesis, Ultrasound physics
  • Image reconstruction, Numerical methods, Signal & image processing
  • Image analysis, Structures segmentation and tracking, Deep learning methods

Left ventricle simulation large scale database

Methodology

  • Deep learning methods applied to medical imaging
  • Theoretical modeling and/or numerical programming
  • Synthetic, in vitro, in vivo validation and/or evaluation of clinical applicability in patients