- VisAGeS research team - IRISA
Campus de Beaulieu
263 Avenue du Général Leclerc
35042 Rennes cedex, France.
- +33 (0) 2 99 84 71 03
- Firstname.Lastname@irisa.fr My GPG Public Key.
I have been a researcher at CNRS since Nov. 2014, within the VisAGeS research unit, IRISA/Inria Rennes Bretagne Atlantique (Britanny, France). My research focuses on medical image acquisition and processing, with a particular interest in diffusion magnetic resonance imaging (MRI), an MRI modality well suited to the study of brain white matter.
Prior to that, I obtained my PhD in Computer Science and Image Processing from Nice Sophia Antipolis University, France. This PhD was prepared in the Athena Project-Team, INRIA Sophia Antipolis - Méditerranée, under the supervision of Dr Rachid Deriche. I then joined the Section of Biomedical Image Analysis, University of Pennsylvania Medical School as a postdoctoral researcher, working on High Angular Resolution Diffusion Imaging under the supervision of Prof Ragini Verma.
Education and Experience
- 2012 — 2014
- Postdoc, Population analysis of HARDI and Multishell diffusion data, under the supervision of Prof Ragini Verma.
- 2008 — 2012
- Ph.D Thesis, Q-space diffusion MRI: Acquisition and Signal Processing, under the supervision of Dr Rachid Deriche.
- 2005 — 2007
- Master of Science in Computer Science, University of Rennes 1 and École Normale Supérieure de Cachan, Brittany site.
- European Master of Research on Information and Communication Technologies (with the Erasmus exchange program), Universitat Politècnica de Catalunya.
I was recently awarded the Prix de thèse AFRIF '13, for my PhD thesis work on Acquisition and Reconstruction in Q-space diffusion MRI, carried out under the supervision of Dr. Rachid Deriche. You can download my PhD dissertation here.
I co-organized the 2nd HARDI Reconstruction Challenge, and was chair of the associated workshop held at the IEEE Symposium on Biomedical Imaging 2013 (San Francisco, CA, USA).
I am a reviewer for the following journals and conferences: IEEE Transactions on Medical Imaging, Magnetic Resonance in Medicine, Neuroimage, PLOS ONE, International Journal of Computer Mathematics, MICCAI 2015 (Munich, Germany), MICCAI 2013 (Nagoya, Japan).
I recently proposed Phantomas, a simulation software for the evaluation of structural connectivity pipelines. I also developped a web application to generate incremental, optimal sampling schemes for multiple shell diffusion MRI. The code source to generate non-incremental gradient tables is now available on github. This Python minimal library also implements the modified spherical polar Fourier basis, for continuous and regularized reconstruction of the diffusion signal.