Francesca Galassi

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 is with the Women in MICCAI Board. Get to know about our mission and 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, having the potential to improve patient diagnosis, treatment and prevention. Her main focus is the automated detection and segmentation of multiple sclerosis lesions in brain and spinal cord MRI. She is currently investigating transfer learning strategies that can address the variation in MR images due to different acquisition systems or patient populations, so to handle and leverage the large amount of labelled and unlabelled data at training time, and thus achieve more accurate and robust models.

Teaching

Her teaching activity at the Engineering School ESIR comprises Deep Learning for image processing, Data Mining, Graph Algorithms, and Medical Imaging. She is particularly interested in competence-based learning and the use of active teaching methods, via the integration of ‘learning by doing’ strategies.


Publications

https://scholar.google.co.uk/citations?user=mqyW7RwAAAAJ&hl=en


Short Bio

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