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Nicolas Villain
Personal info
Overview
Videos
Courses
Work Experience
Education
Pubmed
Personal info
Specialty Researcher / Scientist
Place Paris, France
Languages French  /  English
Overview

Since April 2018, Nicolas Villain leads the "Hub AI Paris” created by Philips in France, a research team of approximately 40 scientists focused on AI in medical imaging. The hub also hosts a development team for Philips collaborative AI platform and an activity of venture capital that invests in AI start-ups. Before this, he was the Head of Philips Research in France since 2012.

Source : Labex Primes, Université de Lyon

Videos
Courses
L'INTELLIGENCE ARTIFICIELLE EN SANTE Researcher / Scientist
Masterclass
Institut de Formation Médicale Philips, Suresnes, France
October 14
12
Seats available
1 007 € - 1 087 €
L'INTELLIGENCE ARTIFICIELLE EN SANTE Researcher / Scientist
Masterclass
Institut de Formation Médicale Philips, Suresnes, France
April 2
12
Seats available
1 007 € - 1 087 €
L'INTELLIGENCE ARTIFICIELLE EN SANTE Researcher / Scientist
Masterclass
Institut de Formation Médicale Philips, 92150, Suresnes
October 12
12
Seats available
1 007 € - 1 087 €
Masterclass
Institut de Formation Médicale Philips, Suresnes, France
14th October
Seats available
1 007 € - 1 087 € / Attendee
Masterclass
Institut de Formation Médicale Philips, Suresnes, France
2nd April
Seats available
1 007 € - 1 087 € / Attendee
Masterclass
Institut de Formation Médicale Philips, 92150, Suresnes
12th October
Seats available
1 007 € - 1 087 € / Attendee
Work Experience
Head of Hub AI Paris (Medical Imaging)
Since 2018 Philips France
Head of Research Department
Since 2012 Philips France
Research Group Manager
2007 to 2012 Medisys Lab, Medical Image Processing, Limeil-Brévannes, France
Senior Scientist
1999 to 2007 Medical Image Processing
Education
Master of Applied Sciences, Biomedical Engineering
1995 to 1997 Université de Montréal, Ecole Polytechnique de Montréal, Canada
Ingénieur
1993 to 1996 CentraleSupelec
Pubmed
2019
Kidney cortex segmentation in 2D CT with U-Nets ensemble aggregation. Diagnostic and interventional imaging Read it here
2019
Automatic knee meniscus tear detection and orientation classification with Mask-RCNN. Diagnostic and interventional imaging Read it here
2014
Cardiac electrophysiological activation pattern estimation from images using a patient-specific database of synthetic image sequences. IEEE transactions on bio-medical engineering Read it here
Personal info
Overview
Videos
Courses
Work Experience
Education
Pubmed