Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : CREATIS et LIRIS – 69 Villeurbanne
Durée : 36 mois
Contact : carole.lartizien@creatis.insa-lyon.fr
Date limite de publication : 2021-04-30
Contexte :
Application of machine learning (ML) to healthcare is among the most challenging ones with the potential to exploit information provided by an exponentially growing mass of heterogeneous data (images, semantic information, biological parameters,..). Those models require a large amount of data to perform well, particularly in the era of large-scale deep neural networks. One option to increase the training population is to promote multi-centre clinical studies, which opens many privacy-related problems since data producers lose control over their data as well as huge data traffic. Federated learning (FL) is a new ML approach that was recently introduced to counterbalance the need to access large databases by the responsibility to maintain the privacy of individual participants. In this context, FL appears as a very promising technique, first to account for patient privacy thus complying with the increasingly stringent general data protection regulations (GDPR) and then to limit the huge amount of data traffic required when gathering medical data to a centralized server. This research field is in its early premise and needs to address key challenges related to the specificity of medical data.
Sujet :
The aim of this PhD is to investigate methodological research in this domain with application to the design of diagnosis and prognosis models of brain pathology based on multimodality imaging.
Please see the detailed description in the attached pdf file.
You can also have a look here :
https://www.creatis.insa-lyon.fr/site7/fr/node/47088
This PhD project is funded by the IADoc@UDL program promoting research in in AI.
Profil du candidat :
The candidate is expected to have strong knowledge in machine learning and some experiment in image processing. Some prior experience with medical image processing would be appreciated but is not required. Good programming skills (python..) are also required. We are looking for an enthusiastic and autonomous student with strong motivation and interest in multidisciplinary research (image processing and machine learning in a medical context).
Formation et compétences requises :
The candidate is expected to have strong knowledge in machine learning and some experiment in image processing. Good programing skills are required
Adresse d’emploi :
The doctoral student will share his/her time between the two laboratories (Both located on Campus La Doua – Villeurbanne) according to the needs and the progress of the project.
Please contact us for more information on the project and the application procedure.
Deadline for application is April 23
Document attaché : 202103180954_PhDproject_IADoc_FL_MedImag_CREATIS_LIRIS_2021.pdf