Articles

Conference GSI 5th conference on Geometric Science of Information

 The final program and schedule for the conference GSI 5th Conference on Geometric Science of Information is now available. The Conference takes place in Paris, Sorbonne University in July. https://www.see.asso.fr/en/wiki/369007_program-schedule I will chair the session "Manifolds and optimization" with Bin Gao (UCLouvain) Don't miss the talks of the Keynote Speakers : Yvette Kosmann-Schwarzbach  on Structures of Poisson Geometry: old and new Max Welling  on Exploring Quantum Statistics for Machine Learning Michel Broniatowski  on Some insights on statistical divergences and choice of models Maurice de Gosson  on Gaussian states from a symplectic geometry point of view Jean Petitot  on The primary visual cortex as a Cartan engine Giuseppe Longo  on Use and abuse of "digital information" in life sciences, is Geometry of Information a way out? Abstracts of GSI'21 keynote speakers are available here: https://www.see.asso.fr/en/wiki/367468_keynote-speakers Infor

Conference GSI 2021

 Our paper  Optimization of a shape metric based on information theory applied to segmentation fusion and evaluation in multimodal MRI for DIPG tumor analysis , Stéphanie Jehan-Besson ( CNRS, LITO U1288 INSERM, Institut Curie) , Régis Clouard (Normandie Univ, ENSICAEN) , Nathalie Boddaert (Hôpital Necker Enfants Malades, AP-HP Imagine) , Jacques Grill (Gustave Roussy, Inserm) , Frédérique Frouin (LITO U1288 INSERM, Institut Curie). has been accepted to the 5th conference on Geometric Science of Information in PARIS, Sorbonne University GSI 2021. As for previous editions, GSI’21 Proceedings will be published in SPRINGER LNCS . See GSI’19 Proceedings . It takes place in the project BIOMEDE :  https://www.lito-web.fr/en/projects/94-biomede-ia-2

Exposé réunion LITO, Institut Curie

Exposé du 7 avril 2021 (Réunion de travail LITO) sur la segmentation et l'évaluation/fusion de méthodes de segmentation, étude des GITCs (Gliomes infiltrants du Tronc Cérébral) en IRM multimodale dans le cadre du projet BIOMEDE (collaboration Neurospin, Hôpital Necker des enfants malades, Institut Gustave Roussy).

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 Our conference paper has been submitted (lecture notes in computer sciences)

Resume

Update my resume in english: link below for an inscription to a formation Resume in English pdf 

Project BIOMEDE

Since january 2021, I am mainly involved in the BIOMEDE project. This project aims at better characterizing, by using machine learning or deep learning methods, the tumors of patients with diffuse intrinsic pontine gliomas (DIPG) which is a rare pediatric cancer with a very poor prognosis. The analysis is based on clinical and imaging (multi-parametric MRI) features.  https://www.lito-web.fr/en/projects/94-biomede-ia-2 Action: Conference submitted

Preprint ArXiv

Our preprint is now available on ArXiv https://arxiv.org/abs/2102.08939 A Mutual Reference Shape for Segmentation Fusion and Evaluation Abstract : This paper proposes the estimation of a mutual shape from a set of different segmentation results using both active contours and information theory. The mutual shape is here defined as a consensus shape estimated from a set of different segmentations of the same object. In an original manner, such a shape is defined as the minimum of a criterion that benefits from both the mutual information and the joint entropy of the input segmentations. This energy criterion is justified using similarities between information theory quantities and area measures, and presented in a continuous variational framework. In order to solve this shape optimization problem, shape derivatives are computed for each term of the criterion and interpreted as an evolution equation of an active contour. A mutual shape is then es