View source for Elodie Puybareau

=== Contact ===
{| class="wikitable" style="background: white;"
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! colspan="2" | Contact information 
|- style="height: 30px;"
| style="width: 60px; padding-left:5px;" | Email || style="width: 260px; padding-left:5px;" | [mailto:elodie.puybareau@lrde.epita.fr elodie.puybareau@lrde.epita.fr]
|- style="height: 30px;"
| style="width: 60px; padding-left:5px;" | Tel || style="width: 260px; padding-left:5px;" | +33 1 53 14 59 16
|- style="height: 30px;"
| style="width: 60px; padding-left:5px;" | Location || style="width: 260px; padding-left:5px;" | Salle L7, [[Contact|LRDE]]
|}

=== Bio ===

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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[https://hugues-talbot.github.io/] and Laurent Najman[http://www.laurentnajman.org/]. 
Since 2017, I conducted my research with EPITA Research & Development Laboratory ([[Main_Page|LRDE]]), within the [[Olena|Olena]] team, as postdoctoral fellow first, and as an Assistant Professor since 2018.

</div>

=== Research ===

==== Research interests ====
I am currently involved in two different research topics:
# Machine/Deep learning for medical imagery applications:
## 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).
## Heart segmentation and evaluation of fibrosis. (thesis of Zhou Zhao, jointly supervised with Thierry Géraud (LRDE))

# 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.

==== Other research activities ====
I also serve as a reviewer for the following journals:
* 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].

== Publications ==
For a full list of publications, you can check my [https://scholar.google.com/citations?user=37VS2SkAAAAJ&hl=fr&oi=ao Google Scholar webpage].

News : https://www.lrde.epita.fr/wiki/challenges_codes

{{Publications/AuthorList|Puybareau}}