Dr Philippe Ciuciu
CEA.DRF.Institut Joliot.NeuroSpin
INRIA, Parietal Team
    Postal Address: CEA Saclay/NeuroSpin - Bât 145 - Point Courrier 156F-91191 Gif-sur-Yvette, FRANCE
    Phone:              +33 [0] 1 6908 7785
    Fax                 +33 [0] 1 6908 7980
    Email:               philippe DOT ciuciu AT cea DOT fr
Philippe Ciuciu is Research Director at NeuroSpin, the largest high field MRI center dedicated to cognitive and clinical neuroscience in France. His research interests are inter-disciplininary ranging from signal and image processing (Compressed Sensing for MR Imaging) to functional brain imaging (fMRI, MEG) for applications to cognitive neuroscience (multi-perceptual learning, plasticity) and clinical trials in Alzheimer's disease and neurological disorders (Stroke).

Research interests:

  1. Magnetic resonance imaging (MRI)
    Compressed sensing, Variable density sampling, Parallel Imaging, k-space trajectories, admissibility, High resolution (space/time) imaging, Reconstruction, 
     Proximal methods, Wavelets, Frames, parallel computing.
  2. Artificial intelligence & Deep learning: new deep learning network architectures for 3D to 6D MRI data (from 3D anatomical in susceptibility weigted imaging to 6D difusion-weighted imaging). Joint learning of acquisition and reconstruction scenario in MRI. 
  3. Functional neuroimaging
    • Hemodynamics: functional MRI, Blood Oxygen Level Dependent, 
      Cerebral blood flow, Arterial spin labelling, evoked activity, Detection-Estimation, Bayesian inference, MCMC, variational approximations, Functional brain parcellation.
    • Scale-free brain dynamics
      Magnetoencephalography (MEG), o
      ngoing activity, self-similarity, sequential neural processing, Multifractal Analysis, parallel neural multiplexing, functional connectivity, fractal connectivity.
  4. Cognitive neuroscience: multi-perceptual learning, auditory/visual binding, plasticity.

    Software interests:

      1. Pysap (Python Sparse data Analysis Package): open source software for image reconstruction in multiple fields (MRI, astronomy, electron tomography, electron microscopy). 
      2. CS_Sparkling (Compressed Sensing based on Spreading projection Algorithm for Rapid K-space Sampling): Parallel computing toolbox for the generation of SPARKLING sampling patterns for 2D and 3D MRI. Python toolbox interfaced with C++ not yet open to the community. 
      3. open source software for joint detection of brain activity and HRF estimation in a region-dependent manner.

      Industrial interests:

        1. Patenting new MRI sampling schemes and reconstruction algorithms for compressed sensing and parallel imaging.
        2. Clinical trials for testing new drugs for Alzheimer's disease by developing new functional biomarkers.

        Recent announcements

        • 1year Postdoc position available at NeuroSpin (2019) In the context of the collaborative research MultiFracs project granted by ANR, we have a one-year postdoctoral position available to fill in immediately. Application details are provided in the ...
          Posted Jan 22, 2019, 11:08 PM by Philippe Ciuciu
        • Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing the English version of our collective book entitled "Regularization and Bayesian Methods for Inverse Problems" came out ! Here it is: http://onlinelibrary.wiley.com/book/10.1002/9781118827253and of ...
          Posted Feb 16, 2015, 1:49 AM by Philippe Ciuciu
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