| Name | Fabrice Michel |
| Age | 31 |
| Address | Paris, France |
| Languages | French, English |
| (Click Here...) |
I received my Ph.D. from the Department of Applied Mathematics, Ecole Centrale Paris in 2013 under the supervision of Prof Nikos Paragios. I am also an alumnus of École Nationale des Ponts et Chaussées (2004-2008) and École Normale Supérieure de Cachan (2007-2008).
Prior to my graduation, I started working (2012) in France as a Research Scientist for Dassault Systèmes. During my time in academic research, I published 4 papers in international conferences mainly focused on machine learning applications to medical image registration. My work is now focused on improving the state of the art industrial solutions in Machine Learning and Computer Vision, Strategic Auditing and Patent Publication. My current research interests focus on Machine Learning applications to Image Understanding, Activity Recognition, Multi-modal Data Fusion, and Sparse Learning.
Patent Application 2014 - US20140358475 |
Body Posture Tracking Malika Boulkenafed and Fabrice Michel |
PhD Thesis - October 2013 |
Multi-Modal Similarity Learning for 3D Deformable Registration of Medical Images Fabrice Michel |
ISBI 2011 |
Boosted metric learning for 3D multi-modal deformable registration Fabrice Michel, Michael Bronstein, Alex Bronstein and Nikos Paragios |
CVPR 2010 |
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing Michael M. Bronstein, Alexander M. Bronstein, Fabrice Michel and Nikos Paragios |
MICCAI 2010 |
3D knowledge-based segmentation using pose-invariant higher-order graphs Chaohui Wang, Olivier Teboul, Fabrice Michel, Salma Essafi and Nikos Paragios |
ISBI 2010 |
Image transport regression using mixture of experts and discrete Markov random fields Fabrice Michel and Nikos Paragios |
Patent 2008 - US8218909 |
System and method for geodesic image matching using edge points interpolation Ali Khamene and Fabrice Michel |