CV

Education

Engineering school at INSA, Electrical Departement, university of Lyon, France, 2003
M.S. in imaging, signal and system at university of Lyon - INSA, France, 2003
Ph.D in medical image analysis, university of Lyon - INSA, France, 2006

Academic Positions

Since 2021: Professor of image and signal processing
- University of Lyon - INSA, France
- Electrical engineering departement
- CREATIS laboratory
2007-2021: Associate professor
- University of Lyon - INSA, France
- Electrical engineering departement
- CREATIS laboratory
2007: Postdoctoral fellow
- EPFL, Lausanne, Switzerland
- BIG laboratory - Biomedical Imaging Group

Responsabilities

Since 2024: Technical Committee member of MIDL international conference
Since 2023: Deputy director of the CREATIS laboratory
Since 2023: Associate editor of IEEE transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Since 2022: Meta-Reviewer of IEEE ISBI international conference
Since 2020: Head of the MYRIAD image analysis and modeling research team at CREATIS
2013-2016: Associate editor of IEEE transactions on Image Processing
2014: Meta-Reviewer of IEEE ICIP’14 and ISBI’14 international conferences

Research Projects (since 2022)

2023-2027: Workpackage leader of the CHRONICARDIO project (french ANR-PEPR digital health grant)
2022-2026: Principal investigator of the ORCHID project (french ANR-PRC grant)

Doctoral and Scientific Supervision

13 PhD students
3 postdoctoral fellows
2 research engineers
18 master students

Publications (since 2022)

CMRSegTools: An open-source software enabling reproducible research in segmentation of acute myocardial infarct in CMR images

Romero, William (2022). "CMRSegTools: An open-source software enabling reproducible research in segmentation of acute myocardial infarct in CMR images." Plos one. 17(9).

A Pipeline for the Generation of Synthetic Cardiac Color Doppler

Sun, Yunyun (2022). "A Pipeline for the Generation of Synthetic Cardiac Color Doppler." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 69(3).

Deep Learning vs manual techniques for assessing left ventricular ejection fraction in 2D echocardiography: validation against CMR

Saloux, Eric (2022). "Deep Learning vs manual techniques for assessing left ventricular ejection fraction in 2D echocardiography: validation against CMR." medRxiv.

Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation

Evain, Ewan (2022). "Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation." IEEE Transactions on Medical Imaging. 41(8).

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Judge, Thierry (2022). "CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation." Medical Image Computing and Computer Assisted Intervention -- MICCAI.

Echocardiography Segmentation With Enforced Temporal Consistency

Painchaud, Nathan (2022). "Echocardiography Segmentation With Enforced Temporal Consistency." IEEE Transactions on Medical Imaging. 41(10).

Phase unwrapping of color Doppler echocardiography using deep learning

Ling, Hang Jung (2023). "Phase unwrapping of color Doppler echocardiography using deep learning." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 70(8).

Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography

Lu, Jingfeng (2023). "Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

Judge, Thierry (2023). "Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation." Medical Image Computing and Computer Assisted Intervention -- MICCAI.

Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping

Ling, Hang Jung (2024). "Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Judge, Arnaud (2024). "Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning." Medical Image Computing and Computer Assisted Intervention -- MICCAI.

Olivier Bernard

CV

Education

Academic Positions

Responsabilities

Research Projects (since 2022)

Doctoral and Scientific Supervision

Publications (since 2022)

CMRSegTools: An open-source software enabling reproducible research in segmentation of acute myocardial infarct in CMR images

A Pipeline for the Generation of Synthetic Cardiac Color Doppler

Deep Learning vs manual techniques for assessing left ventricular ejection fraction in 2D echocardiography: validation against CMR

Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation

Echocardiography Segmentation With Enforced Temporal Consistency

Phase unwrapping of color Doppler echocardiography using deep learning

Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography

Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation

Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Talks (since 2023)

Generative models - variational auto-encoder

Segmentation in echocardiography: is the problem finally solved ?

Physical simulations for deep learning: applications to image formation and motion estimation

On the integration of robust AI-based image information for continuous patient stratification

Most applied and promising AI methods in cardiac imaging

Is the problem of medical image segmentation a thing of the past ?

Teaching

Signal modeling

Sampling and quantization

Neural networks

Optimization of neural networks

Convolutional neural networks

Variational Auto-encoders

Transformers