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Doctoral position - Medical image processing


Protontherapy is a recent technology aiming at treating cancer by delivering high radiation doses to the tumour in the form of a proton beam. Whereas the added value of protontherapy over conventional radiotherapy (using photons) has been previously demonstrated in many cancers, the effects on such therapies at the tissue- and cellular level are still not fully documented. One major difficulty in studying these effects is to relate the macroscopic (pre-)clinical information obtained in-vivo to the finer microscopic cellular information obtained ex-vivo. In this context, developing novel techniques for registration (“matching”) between both imaging scales is of utmost importance, which is the subject of the proposed thesis work.

As a PhD candidate, you will conduct original scientific research end-to-end. You will propose novel approaches to address the registration problem between microscopic (ex-vivo) high-resolution images and macroscopic (in-vivo) pre-clinical images in brain and liver cancer. You will use the developed tools to address scientific questions in the field of oncology and (radio-)biology. You will share your work through international scientific congresses and publications. You will take part to the scientific and academic life of the innovative LISA laboratory (Ecole Polytechnique de Bruxelles, ULB) and integrate the large inter-university consortium Prother-Wal. By the end of your fellowship, you will obtain a valuable PhD degree from Ecole Polytechnique de Bruxelles.

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Corentin MARTENS (corentin.martens_AT_ulb.be)

Christine DECAESTECKER (christine.decaestecker_AT_ulb.be)

Gaetan VAN SIMAEYS (gaetan.vansimaeys_AT_ulb.be)

Two assistant positions at the LISA

Description (french)

Les assistant·e·s presteront leur charge d’enseignement et leur recherche au LISA (Laboratory of Image Synthesis and Analysis). Le LISA développe une recherche dans les domaines de l’analyse d’image d’une part (imagerie bio-médicale notamment) et la synthèse d’image d’autre part. Une grande part de la recherche inclut, mais n’y est pas limitée, le développement de méthodes originales d’intelligence artificielle.

Description des enseignements:

Les assistant·e·s contribueront aux cours suivants (la proportion respective des différentes charges sera modulée en fonction des spécialités de chacun·e):

  • INFO-H-400 Medical Information Systems
  • INFO-H-500 Image acquisition and processing
  • INFO-H-501 Pattern recognition and image analysis
  • INFO-H-502 Image synthesis
  • INFO-H-503 Animation and virtual reality

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Christine DECAESTECKER (christine.decaestecker_AT_ulb.be)

Olivier DEBEIR (olivier.debeir_AT_ulb.be)

Gauthier LAFRUIT (gauthier.lafruit_AT_ulb.be)

Updated on March 21, 2022