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PR[AI]RIE Researcher

COHEN Laurent


Research Director CNRS at Ceremade, Université Paris-Dauphine. Grand Prix from the French Academy of Sciences, EADS Foundation, 2009. IEEE Fellow for contributions to computer vision technology for medical imaging, 2010. For many years, he has been editorial member of the Journal of Mathematical Imaging and Vision, Medical Image Analysis and Machine Vision and Applications.

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Establishments: Université Paris Dauphine – PSL

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Topic of interest: Computer vison, image processing, Geodesics, Partial Differential Equations, Variational Methods, machine learning

cohen@ceremade.dauphine.fr

Personnal website

In the past 35 years, my research has focused on variational methods and Partial Differential Equations for Image Analysis with Deformable models and geodesic methods. A large part of my research has been done for image segmentation and shape recognition with applications in biomedical imaging, in collaboration with industry or hospitals (15 PhD supervision, among 25, with applications to biomedical imaging). Current work involves various aspects of Machine Learning.
Main topics:
Geodesic Methods: Image Segmentation, Active Contours Revisited. Applications to Medical Imaging.Deformable Models: Edge-based or Region-based active contours, curve and surface Reconstruction, Image Segmentation and Restoration.Machine Learning: Object segmentation and recognition.

COHEN Laurent

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