- Site: Paris
- Group: image processing and pattern recognition
Short Bio
I obtained a M.Sc degree in biosciences engineering, with a major in medical image processing, from the Institut Superieur des Biosciences de Paris, France, in 2013. I obtained a PhD in medical imaging from the Université Paris-Est Marne-la-Vallée (France) in 2016. I conducted my research under the supervision of Hugues Talbot and Laurent Najman.
Since 2017, I conducted my research with EPITA Research Laboratory, within the Image Processing and Pattern Recognition group, as postdoctoral fellow first, and as an Assistant Professor since 2018.
I am also the head of the Image Major
| Contact information | |
|---|---|
| elodie.puybareau@epita.fr | |
| Tel | +33 1 53 14 59 16 |
Research
Research interests
I am currently involved in three different research topics:
-
Machine/Deep learning for medical imagery applications:
- Detection of small lesions in medical images (neonatal cerebral imaging, heart fibrosis, embolism), with a special interest in cerebral imaging.
- MICCAI Challenges: White Matter Hyperintensities 2017, MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation (iSeg 2017), Multimodal Brain Tumor Segmentation Challenge (BraTS 2018 and 2019), Atrial Segmentation Challenge (AtriaSeg 2018), Liver Cancer Segmentation Challenge (PAIP 2019), Left Ventricle Full Quantification Challenge (LVQUAN 2019), Large Scale Vertebrae Segmentation Challenge (VERSE 2019), Vascular Lesions Detection Challenge (Valdo 2021).
-
Mathematical morphology and Machine/Deep learning:
- Research on the influence of adding Mathematical morphology tools to Deep Learning for segmentation tasks
- Animation of ‘‘Morphonet’’, a french group of researchers from several research centers dedicated to the study of mathematical morphology and machine learning.
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Mathematical morphology
- I also like traditionnal image processing methods, in particular mathematical morphology. I am currently working on detectecting meteors in images with these methods, in partnership with the IMCCE
PhD Students
- Adam Decarpentries, Anomaly detection in pulmonary vessels using few shot learning, beginning in March 2023
- Zhou Zhao, Heart segmentation and evaluation of fibrosis, defended in January 2023
Other research activities
I also serve as a reviewer for the following journals:
- Computers in Biology and Medicine
- Mathematical Morphology Theory & Applications Journal
- Pattern Recognition Letters
- Fuzzy Sets and Systems and conferences:
- Gretsi
- International Symposiom on Mathematical Morphology
- MICCAI Brain Lesion Workshop
- International Joint Conference on Artificial Intelligence
I am also a PC Member for European Conference on Artificial Intelligence 2020.
In addition, I am a ‘‘Member’’ of the IEEE and of MICCAI Society.
My Orcid page
Publications
For a full list of publications, you can check: