Monica Crubézy 

 

  Background

I was born on March 7th, 1972, in Fontenay-aux-Roses, a small town within the southern suburbs of Paris, France. I went to school there and to Lycee Marie-Curie in Sceaux, France, later on. 
Then, I spent five years at Ecole Polytechnique Feminine (E.P.F.), also in Sceaux, and received an engineering degree in Computer Sciences in  1994. 
As I thought that was not enough, I pursued a M.Sc. degree in Artificial Intelligence and Pattern Recognition from University Pierre et Marie Curie, Paris, France, in 1995. 
Finally, I decided that I needed more sunshine, so I moved to Nice, a big town in the South-Est of France. I am currently in my third year of Ph.D. studies at INRIA Sophia Antipolis, France, within the ORION research team, which main research topics are program supervision and image interpretation. 
 My detailed curriculum vitae can be found here:   (postscript format, size: 175 Ko)
Monica.Crubezy@sophia.inria.fr
URL: http://www.inria.fr/orion/personnel/Monica.Crubezy/

Ph.D. research subject

Knowledge-based Program Supervision for Medical Image Processing

Key words of interest

  Briefly

    However powerful, up-to-date medical image processing (MIP) methods require many different skills to be used appropriately: this crucially restricts their diffusion among health-care professionals (HCPs). Within this concern, my Ph.D. work aims at providing HCPs with means to benefit from research-level MIP software, by coupling it with knowledge-based program supervision techniques. Program supervision (PS) intends to automate the management of the low-level decisions involved in the use of programs, such as appropriate program choice and organisation, parameter setting, execution control or the handling of methodological details.

    My work relies on a formalisation of the expert knowledge and reasoning process involved in the use of MIP, both from medical and methodological points of view. Within the framework of the LAMA platform developed in the team, I have designed a PS system for MIP: the Medical Image processing Assistant (MedIA). It integrates the necessary concepts for MIP supervision: 1) a hybrid PS method, mixing skeletal-plan refinement and reactive adaptation, and 2) a description of data and domain objects structured with different perspectives.

    As a basis for my work, I study two applications, that are different approaches to MIP. The first study concerns the Factor Analysis of Medical Image Sequences (FAMIS) method, used to estimate physiological functions that underly NM/MRI dynamic sequencesin close collaboration with Florent Aubry and Virginie Chameroy at INSERM Unit 494 (Quantitative medical imaging, directed by Pr. Todd-Pokropek), Paris, France. An extension of this work is in progress, in collaboration  with CERMEP-CREATIS, within the Hospital for Neuro-cardiology,  Lyon, France, to characterise myocardic perfusion on dynamic sequences of PET or MRI images. The second study concerns an application of brain anatomic segmentation on 3D MRI images based on computer vision methods (mainly mathematical morphology), in collaboration with Gregoire Malandain, from the EPIDAURE team, INRIA Sophia Antipolis.

    More ...

Publications

Other interests

Associative activity
As a member of INRIA PhD students' association (ATS), I was elected representative of the 110 students of Sophia Antipolis research unit, in 1995-96. ATS is linked to the departmental young researchers' association (AJC06), the local member of the french research students' association (CEC).

  Hobbies

 
   Miscellaneous bookmarks


 

Monica Crubézy 
INRIA - Projet Orion
2004 route des Lucioles, B.P. 93
06 902 Sophia Antipolis - Cédex
France
Tel:  (+33) (0)4 92 38 78 12  (/76 57)
Fax: (+33) (0)4 92 38 79 39

Monica.Crubezy@sophia.inria.fr