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Associate Professor (MCF)
Contact Info
Email: francesca.galassi@irisa.fr
Phone: +33 2 99 84 72 62
Office Location:
C101 (building 12C), Inria Rennes
Campus de Beaulieu
35042 Rennes, France
Francesca Galassi is an Associate Professor of Computer Science at the Ecole supérieure d’ingénieurs de Rennes (ESIR), and a researcher in the Empenn lab. She received her PhD from Imperial College London (UK) in 2014, with a thesis on navigation and tracking in interventional MRI procedures. Prior to joining the Empenn lab, she was a Postdoctoral Fellow at the Acute Vascular Imaging Centre, Oxford (UK).
Francesca co-manages the Information Systems specialty (parcours Systèmes d’Information) at ESIR alongside Zoltan Miklos. Don’t hesitate to reach out with any questions regarding study plan, projects, or internships, whether you are a student or from research or industry.
Francesca served on the Women in MICCAI Board from 2021 to 2023. Learn about it and discover ways to get involved http://www.miccai.org/about-miccai/women-in-miccai/
Research
Keywords: Medical Imaging, Image Processing, Segmentation, Machine Learning, Deep Learning, Transfer Learning
Her research interest is in Artificial Intelligence for healthcare, with the potential to enhance patient diagnosis, treatment, and prevention. Her primary focus is on the automated detection and segmentation of multiple sclerosis lesions in brain and spinal cord MRI. Currently, she explores strategies to address variations in MR images due to different acquisition systems or patient populations, aiming to handle large amounts of labeled and unlabeled data during training for more accurate and robust models. This work is part of the RHU Primus project and Ricky Walsh’s PhD thesis. Additionally, she has initiated a project focused on segmenting chronic stroke lesions in brain MRI.
Teaching
Her teaching activity at the Engineering School ESIR comprises Deep Learning for image processing, Graph Algorithms, and Medical Imaging. Additionally, she teaches Image Processing at the Ecole Normale Supérieure de Rennes and Deep Learning within the Master EIT Data Science.
Publications
https://scholar.google.co.uk/citations?user=mqyW7RwAAAAJ&hl=en
Short Bio
- 2021-present Associate Professor, École supérieure d’ingénieurs de Rennes, Empenn, Irisa-Inria, FR
- 2019-21 Assistant Professor, École supérieure d’ingénieurs de Rennes, Empenn, Irisa-Inria, FR
- 2017-19 Postdoc, Segmentation of lesions in brain MRI, Empenn, Irisa-Inria, FR
- 2014-17 Postdoc, Segmentation and 3D reconstruction in cardiovascular imaging, AVIC, University of Oxford, UK
- 2010-14 PhD, Instrument Tracking and Navigation for MRI-guided Interventions, Imperial College London, UK
- MSc in Applied Physics, University of Bologna, IT
- Bachelor in Physics, University of Bologna, IT
