PhD position: Statistical Learning for multimodal registration medical images
Universit Cte dAzur

PhD position: Statistical Learning for multimodal registration medical images

France 30 May 2021

ABOUT THE INSTITUTION

Universit Cte dAzur
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OPPORTUNITY DETAILS

State University
Area
Host Country
Deadline
30 May 2021
Study level
Opportunity type
PhD
Specialities
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

Description of the topic:

The objective of this PhD is to extend the PhD thesis of Julian Krebs (reference below) to address the probabilistic registration of medical images of different modalities. In particular, we plan to address the difficult problem of registration of pre-intervention MR images of an organ with intra-intervention ultrasound images of the same organ, in order to better guide some interventions. The challenge associated with this objective is to jointly learn the spatial transformation and the intensity mapping between images within a variational autoencoder. One major application will be for image-guided prostate cancer therapy.

References:

Julian Krebs. Robust Medical Image Registration and Motion Modeling based on Machine Learning. PhD Thesis manuscript, Université Côte d'Azur, France ; INRIA Sophia Antipolis, France, June 2020. Available at https://www-sop.inria.fr/asclepios/biblio/Author/KREBS-J.html

Working conditions:

Remuneration: around 2650€ gross salary.

Duration: 36 months.

Teaching obligation: the 3IA PhD candidates are subject to a teaching obligation of 64 hours per year.

Funding category: Contrat doctoral

3IA Côte d'Azur - Interdisciplinary Insititute for Artificial Intelligence

PHD Country: France


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