Section: Dissemination

Teaching - Supervision - Juries

• Master : Structure Prediction, 24, M1, Ecole Centrale de Paris [M. Blaschko]

• Master : Discrete Optimization, 12, M1, Ecole Centrale de Paris [P. Kumar]

• Master : Signal Processing, 36, M1, Ecole Centrale de Paris, France [I. Kokkinos]

• Master : Computer Vision, 36, M1, Ecole Centrale de Paris, France [I. Kokkinos]

• Master : Pattern Recognition, 24, M2, Ecole Centrale de Paris/Ecole Normale Superieure-Cachan, France [I. Kokkinos]

• Master : Advanced Mathematical Models in Computer Vision, 24, M2, Ecole Centrale de Paris/Ecole Normale Superieure-Cachan, France [N. Paragios]

N. Paragios is in charge of the option Medical Imaging, Machine Learning and Computer Vision at the Department of Applied Mathematics of Ecole Centrale de Paris. This option consists of 7 classes in the above mentioned fields, 180 hours of teaching and is also directing the associated M.Sc. (M2) program of the ENS-Cachan in Applied Mathematics, Machine Learning and Computer Vision at Ecole Centrale de Paris.

• HdR : Pawan Kumar, Weakly Supervised Learning for Structured Output Prediction, Ecole Normale Supérieure de Cachan - ENS Cachan, 12/2013

• HdR : Iasonas Kokkinos, Learning and Optimization for Shape‐based Representations, Université Paris-Est, 9/2013

• PhD: Pierre-Yves Baudin, Graph-based Segmentation of Skeletal Striated Muscles in NMR Images, Ecole Centrale de Paris, 05/2013, Nikos Paragios

• PhD: Katerina Gkirtzou, Sparsity Regularization and Graph-based Representations in Medical Imaging, 12/2013, Ecole Centrale de Paris, Nikos Paragios

• PhD: Nicolas Honnorat, Curvilinear Structures Segmentation and Tracking in Interventional Imaging, 01/2013, Ecole Centrale de Paris, Nikos Paragios

• PhD: Helene Langet, Sampling and Motion Reconstruction in Three-dimensional X-Ray Interventional Imaging, 03/2013, Ecole Centrale de Paris, Gilles Fleury & Nikos Paragios

• PhD: Fabrice Michel, Multi-Modal Similarity Learning for 3D Deformable Registration of Medical Images, 10/2013, Ecole Centralse de Paris, Nikos Paragios

• PhD: Sarah Parisot, Graph-based Detection, Characterization & Segmentation of Brain Tumors, 11/2013, Ecole Centrale de Paris, Nikos Paragios

• PhD: Bo Xiang, Knowledge-Based Image SegmentationUsing Sparse Shape Priors and High-Order MRFs, Ecole Centrale de Paris, 11/2013, Nikos Paragios

• PhD in progress : Stavros Alchatzidis, Message Passing Methods, Parallel Architectures & Visual Processing, 2011-2014, Nikos Paragios

• PhD in progress : Wacha Bounliphone, Sparse Methods towards data mining in Bio-informatics& Bio-imaging, 2013-2016, Matthew Blaschko

• PhD in progress : Haithem Boussaid, Learning-based mid-level processing for computer vision and medical imaging, 2010-2014, Iasonas Kokkinos

• PhD in progress : Enzo Ferrante, 2D-to-3D Multi-Modal Deformable Image Fusion, 2012-2015, Nikos Paragios

• PhD in progress : Vivien Fecamp, Linear-Deformable Multi-Modal Deformable Image Fusion, 2012-2015, Nikos Paragios

• PhD in progress : Evgenios Kornaropoulos, Diffusion Coefficient: a novel computer aided bio-marker, 2010-2013, Nikos Paragios

• PhD in progress : Puneet Kumar, Weakly Supervised Learning for Object Detection and Semantic Segmentation, 2010-2013, Pawan Kumar

• PhD in progress : Stavros Tsogkas, Learning-based mid-level processing for computer vision and medical imaging, 2011-2014, Iasonas Kokkinos

• Andreas Argyriou

  • PhD Thesis Participation: G. Zappella - IT (PhD).

• Matthew Blaschko

  • PhD Thesis Participation: K. Gkirtzou - FR (PhD).

• Iasonas Kokkinos

  • Grant Reviewing Services: Swiss National Science Foundation.

• Nikos Paragios

  • PhD Thesis Participation: P-Y. Baudin - FR (PhD), K. Gkirtzou - FR (PhD), M. Heinrich - UK (PhD), N. Honnorat - FR (PhD), P. Kumar (HDR), H. Langet - FR (PhD), S. Merlet - FR (PhD), F. Michel - FR (PhD), S. Parisot - FR (PhD), B. Xiang - FR (PhD).

  • Grant Reviewing Services: Agence National de la Recherche, Austrian Research Council, Danish Research Council, Dutch Research Council, European Research Council, Israel Research Foundation, Swiss National Science Foundation.