- 'Estimation of segmental longitudinal strain in transesophageal echocardiography by deep learning' in IEEE Journal of Biomedical and Health Informatics
- 'PRIME 2.0: An update to the proposed requirements for cardiovascular imaging-related machine learning evaluation checklist' in JACC Cardiovascular Imaging
- 'Fusing echocardiography images and medical records for continuous patient stratification' in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
- 'Comparison of synthetic LGE with optimal inversion time vs. conventional LGE via representation learning: quantification of bias in population analysis' in Computers in Biology and Medicine
- 'Hierarchical data integration with Gaussian processes: application to the characterization of cardiac ischemia-reperfusion patterns' in IEEE Transactions on Medical Imaging
- 'Detailed evaluation of a population-wise personalization approach to generate synthetic myocardial infarct images' in Pattern Recognition Letters
Research Experience
- Associate Professor at CREATIS lab, Université Lyon 1
- Current team includes several PhD students working on various research topics related to cardiac imaging, shape, and deformation
- Former team members include postdocs and PhD students with diverse research interests
Background
- Associate Professor at Université Lyon 1
- Member of CREATIS lab
- Junior member of Institut Universitaire de France
- Associate Editor for Neurocomputing journal
- Research focus: Characterization of diseases from medical imaging populations
- Methodological side: New computational approaches based on statistical atlases and machine learning
- Applicative side: Cardiac function and widespread imaging modalities such as echocardiography and magnetic resonance