Scholar
Olivier Bernard
Google Scholar ID: k6--GlAAAAAJ
CREATIS
Citations & Impact
Citations
5,693
H-index
29
i10-index
53
Publications
20
Co-authors
77
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification' (IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2025), 'Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning' (IEEE Journal of Biomedical and Health Informatics, 2025), 'Controllable latent diffusion model to evaluate the performance of cardiac segmentation methods' (MICCAI, 2025), 'Medical SAM for LGE-MRI cardiac segmentation: promise or hype?' (STACOM, 2025), 'DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis' (MIDL, 2025), 'Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning' (MICCAI, 2024), 'Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping' (IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2024), 'Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation' (MICCAI, 2023), 'Echocardiography Segmentation with Enforced Temporal Consistency' (IEEE Transactions on Medical Imaging, 2022). Former associate editor of the IEEE Transactions on Image Processing journal (IEEE TIP).
Research Experience
- Currently a professor of image and signal processing at the University of Lyon - INSA, France, and deputy director of CREATIS (Medical Imaging Research Laboratory). Head of the MYRIAD Image analysis and modeling research team at CREATIS. Guest associate editor of the IEEE Transactions on Medical Imaging journal (IEEE TMI), associate editor of the European Heart Journal, Cardiovascular Imaging (EHJ-CI), associate editor of the IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control journal (IEEE TUFFC), and technical committee member of MIDL international conference. Previously, associate editor of the IEEE Transactions on Image Processing journal (IEEE TIP).
Background
- Professor at the university of Lyon (INSA), France and deputy director of the CREATIS laboratory. Research interests include quantification of biomarkers from imaging, representation learning, heterogeneous data fusion, domain adaptation through reinforcement learning, uncertainty modeling, physics-guided artificial intelligence, cardiac imaging, vector flow imaging, and simulated imaging.
