PhD student

Université Paris Dauphine-PSL

makaroff [at]

Short bio

M2 MVA ENS Paris-Saclay

Thesis title

Segmentation and modeling of tree structure by Deep Learning with geometric constraints, applications in biomedical imaging.

Short abstract

Deep Learning has shown real capabilities for different tasks ranging from classification to segmentation in various fields such as chemistry, computer vision or even medicine.  Generally, known architectures are used  to  solve  these  problems.   However, this generality of architectures, although obtaining good results, does not yet consider the geometric and topological structure of the studied data, which can lead to a reduced interpretability and acceptability of the results due to a lack of transparency