NikosParagios2009

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Invited Talk by Prof. Nikos Paragios, PhD

Prof. Nikos Paragios, PhD

Prof. Nikos Paragios, PhD
Laboratoire MAS, Ecole Centrale Paris, Chatenay-Malabry, France
Equipe GALEN, INRIA Saclay - Ile-de-France, Orsay, France

  • Date: Friday, 28 August 2009
  • Time: 11:15-12:45
  • Location: MI 03.13.010

Linear Programming, Duality and MRFs in Computer Vision and Medical Image Analysis

Abstract: Mathematical visual perception aims to understand the environment through the estimation of some models parameters. Such a process involves the definition of the model, the association of the model parameters with the available observations and the estimation of the optimal ones through inference. MRFs are a powerful mathematical model that allows explicit modeling of an important number of vision tasks through partial interactions between their degrees of freedom. Such models can be associated with very efficient optimization techniques that do provide solid guarantees on the quality of the obtained solution (module the complexity of the model). In this talk, we will present recent development in the field of efficient linear programming using the primal dual principle towards solving generic MRFs of pair or higher order interactions and their applications in medical imaging and computer vision.

Biography: Nikos Paragios is professor at the Ecole Centrale de Paris - one of most exclusive engineering schools "Grande Ecoles" - leading the Medical Imaging and Computer Vision Group at the Applied Mathematics Department. He is also affiliated with INRIA Saclay Ile-de-France, the French Research Institute in Informatics and Control heading the GALEN group, a joint research team between ECP/INRIA. Prior to that he was professor/research scientist (2004-2005) at the Ecole Nationale de Ponts et Chaussees, affiliated with Siemens Corporate Research (Princeton, NJ, 1999-2004) as a project manager, senior research scientist and research scientist. In 2002 he was an adjunct professor at Rutgers University and in 2004 at New York University. N. Paragios was a visiting professor at Yale University in 2007. Professor Paragios has co-edited four books, published more than hundred papers (DBLP server) in the most prestigious journals and conferences of medical imaging and computer vision, fifteen US issued patents and more than twenty pending. His work has approx 4,000 citations in googlescholar and approx 2,500 in scopus, and and his H-number according to scholar is 30 and 24 according to scopus. Professor Paragios is a Senior member of IEEE, associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), area editor for the Computer Vision and Image Understanding Journal CVIU) and member of the Editorial Board of the International Journal of Computer Vision (IJCV), the Medical Image Analysis Journal (MedIA) and the Journal of Mathematical Imaging and Vision (JMIV). Professor Paragios is one of the program chairs of the 11th European Conference in Computer Vision (ECCV'10, Heraklion, Crete). His research interests include image processing, computer vision, medical image analysis and human computer interaction.

Education: B.Sc. (highest honors, valedictorian) and M.Sc. (highest honors) in Computer Science [ University of Crete (Greece) - 1994,1996] , Ph.D. (highest honors) in electrical and computer engineering [I.N.R.I.A., 2000] HDR (Habilitation a Diriger de Recherches - D.Sc.) [ University of Nice/Sophia Antipolis (France), 2005)].

WebEventForm
Title: Linear Programming, Duality and MRFs in Computer Vision and Medical Image Analysis
Date: 28 August 2009
Location: Garching, Seminar Room, 11:15
Abstract: In this talk, Prof. Paragios will present recent development in the field of efficient linear programming using the primal dual principle towards solving generic MRFs of pair or higher order interactions and their applications in medical imaging and computer vision.
Imageurl: paragios.jpg
Type: News
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