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Vincent Vigneron
Vincent Vigneron
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Disciplines:
Applied mathematics
Automotive engineering
Computer sciences
Mathematics
Physics
Signal and image processing
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Thesis:
Programmation par contraintes et découverte de motifs sur données séquentielles
Methodes d'apprentissage statistiques et problemes inverses. Applications a la spectrographie
Directed Thesis:
Deep Learning for lesion and thrombus segmentation from cerebral MRI
Point-wise and interval state observers for dynamical systems with unknown inputs : application to aerospace navigation
Simulation of surgery effect on cerebral palsy gait by supervised machine learning
Methods for large volume image analysis : applied to early detection of Alzheimer's disease by analysis of FDG-PET scans
Sparse and discriminative clustering for complex data : application to cytology