معرفی
Emmanuel Caruyer is a CNRS Researcher at the Empenn research unit within IRISA / Inria Rennes Bretagne Atlantique since 2014. He serves as Scientific Director of the Neurinfo imaging platform since November 2020 and leads the French side of the MMINCARAV associate team, an Inria-funded collaboration between Empenn and EPFL's Signal Processing Laboratory 5 in Lausanne.
His academic background includes:
- PhD in Computer Science and Image Processing from Nice Sophia Antipolis University (2008-2012) under Dr. Rachid Deriche
- Postdoctoral research at University of Pennsylvania Medical School (2012-2014) with Prof. Ragini Verma
- Master of Science in Computer Science from University of Rennes 1 and École Normale Supérieure de Cachan (2005-2007)
- European Master from Universitat Politècnica de Catalunya (2006)
Caruyer specializes in medical image acquisition and processing with deep expertise in diffusion MRI for brain white matter analysis. His work bridges theoretical mathematics with practical neuroimaging applications, focusing on optimal sampling protocol design and advanced reconstruction algorithms. He has pioneered techniques for multishell diffusion MRI acquisition that significantly improve data quality and efficiency in brain connectivity studies.
His publication record demonstrates consistent innovation in diffusion MRI methodology, particularly in developing mathematically rigorous approaches for gradient table optimization and signal reconstruction. These contributions have established new standards for acquisition protocol design in the field.
He received the prestigious Prix de thèse AFRIF '13 for his doctoral work on Q-space diffusion MRI.
- Prix de thèse AFRIF '13
Caruyer actively shapes the field through service as co-organizer of the 2nd HARDI Reconstruction Challenge, committee member for Computational Diffusion MRI workshops (CDMRI'13, CDMRI'14), and reviewer for top journals including IEEE Transactions on Medical Imaging and Magnetic Resonance in Medicine. His software contributions include Phantomas for structural connectivity evaluation and an open-source web application for diffusion MRI sampling scheme generation, both widely adopted in the research community.
As Scientific Director of Neurinfo, he leads a major imaging platform supporting advanced neuroimaging research across multiple institutions, integrating hardware, software, and methodological expertise for cutting-edge brain studies.
