PhD position: Statistical Learning for multimodal registration medical images
Universit Cte dAzur
Universidad Estatal, Examinar oportunidades similares
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Universidad Estatal, Examinar oportunidades similares
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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