Publications

Journal articles

  • C. Lazarus, P. Weiss, L. El Gueddari, C. Destrieux, I. Zemmoura, A. Vignaud and P. Ciuciu, “Variable
    density k-space filling curves for accelerated Magnetic Resonance Imaging” (2018), in revision to Magnetic Resonance in Medicine. (pdf)
  • C. Lazarus, P. Weiss, A. Vignaud and P. Ciuciu,“An Empirical Study of the Maximum Degree of Acceleration in Compressed Sensing MRI” (2018), Magnetic Resonance Imaging. 53:112-122. (pdf)
  • S. Farrens, A. Grigis, H. Cherkaoui, L. El Gueddari, F. Poupon, J.-L. Starck and P. Ciuciu. PySAP:
    Python Sparse Data Analysis Package for multidisciplinary image processing, submitted to IEEE
    Computing in Science and Engineering. Apr. 2018. (pdf)
  • M. Jiang, J. Bobin, J.-L. Starck, Joint Multichannel Deconvolution and Blind Source Separation” (2017), SIAM Journal on Imaging Science. 10(4):1997-2021.
  • N. Chauffert, P. Ciuciu, J. Kahn, and P. Weiss, “A projection method on measures sets” (2017), Constructive Approximation, 45(1):83–111. (pdf)
  • C. Boyer, N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss,“On the generation of sampling schemes for Magnetic Resonance Imaging” (2016). SIAM Imaging Science9(4):2039-2072. (pdf)
  • N. Chauffert, P. Weiss, J. Kahn, P. Ciuciu,  “Gradient waveform design for variable density sampling in Magnetic Resonance Imaging” (2016). IEEE Transactions on Medical Imaging, 35(9):2026-2039. (pdf)

Conference Proceedings

  • H. Cherkaoui, L. El Gueddari, C. Lazarus, A. Grigis, F. Poupon, A. Vignaud, S. Farrens, J.-L. Starck
    and P. Ciuciu.“Analysis vs synthesis-based regularization for combined compressed sensing and parallel
    MRI reconstruction at 7 Tesla”, in 26th European Signal Processing Conference (EUSIPCO), Rome, Italy,
    Sep. 2018, pp. 3640 (pdf)
  • L. El Gueddari, C. Lazarus, H. Carrié, A. Vignaud and P. Ciuciu.“Self-calibrating nonlinear reconstruction
    algorithms for variable density sampling and parallel reception MRI”, in 10th IEEE Sensory Array and Multichannel (SAM) signal processing workshop. Sheffield, UK, July 2018, pp. 415-419. (pdf)
  • C. Lazarus, P. Weiss, N. Chauffert, A. Vignaud, P. Ciuciu, “SPARKLING: nouveaux schémas d'échantillonnage compressif pour l'IRM haute résolution”, XXVIth Gretsi conference. (pdf)
  • M. Jiang, J. Bobin and J.-L. Starck, “Joint Multichannel Deconvolution and Blind Source Separation”, SPARS'17, Lisboa, Portugal, June 2017. (pdf)

Invited Talks

  • P. Ciuciu,Self-calibrating nonlinear reconstruction algorithms for variable density sampling and parallel reception MRI”, in 10th IEEE Sensory Array and Multichannel (SAM) signal processing workshop, Sheffield, UK, July 2018 (Slides)
  • P. Ciuciu,“Distribution-controlled and optimally spread sampling trajectories for accelerated
    Magnetic Resonance Imaging”, Cachan, France, May 2018, 8th International Conference on New
    Computational Methods for Inverse Problems. (Slides)
  • P. Ciuciu,“Prospective SPARKLING trajectories for accelerated 2D high resolution MRI at 7
    Tesla”, Ecole Polytechnique de Montreal, Dec. 2017. (Slides)
  • J.-L. Starck, “From Space to Medical ImagingAIDA-2020 - Academia meets Industry - Medical imaging and image processing, April 3, 2017.
  • P. Ciuciu & C. Lazarus,“Sparsifying Transform Learning for Blind Compressed Sensing 
  • In MRI, INRIA-CEA Parietal meeting at NeuroSpin, Mar. 2017, Gif-sur-Yvette, France. (Slides)
  • J.-L. Starck, “Sparse reconstruction of radio transients and multichannel imagesin BASP'17 (Session: Next Generation Radio Interferometry), Villars-sur-Ollon, Switzerland, Jan, 2017. (Slides)
  • J.-L. Starck, “Space variant deconvolution of galaxy survey images”in BASP'17 (Session: Advanced Statistical Methods to extract Cosmological Information in the LSST Era), Villars-sur-Ollon, Switzerland, Jan, 2017. (Slides)
  • P. Ciuciu, “SPARKLING: Novel non-Cartesian sampling schemes for accelerated 2D anatomical imaging at 7T using compressed sensing”, IEEE lecture, Univ. British Columbia, Vancouver Canada, Dec. 2016. (Slides)
  • J.-L. Starck,Low Complexity Models to Map the Dark Matter of the Universe”Seminar of the Lagrange Laboratory, Nice University,  Nov 4, 2016.
  • J.-L. Starck,Cosmostatistics: Tackling Big Data from the Sky”, EPFL Seminar, Lausanne, Nov 28, 2016.
  • J.-L. Starck,Cosmology and its Data Flood Challenge”star2016 : Journées de Statistique de Rennes, Rennes, 20-21 oct. 2016 .
  • J.-L. Starck,Sparsity & Inverse Problems in Astrophysics”, Simula laboratory, Oslo, Norway, September 3, 2016.
  • P. Ciuciu,“MR Image reconstruction”, IEEE Educational Course at the MIC conference, Strasbourg, Nov. 1, 2016. (Slides)
  • C. Lazarus“Compressed Sensing in MRI: How the maximum sampling factor depends on the image size & the SNR, SFB workshop on Imaging with Modulated/Incomplete Date, Graz, Austria, Sep. 2016. (Slides) 

Conferences

  • C. Lazarus, P. Weiss, L. El Gueddari, F. Mauconduit, A. Vignaud and P. Ciuciu.“Distribution-controlled
    and optimally spread non-Cartesian sampling curves for accelerated in vivo brain imaging at 7 Tesla”, in
    26th Proc. ISMRM, Paris, France, June 2018. (Abstract)
  • L. El Gueddari, C. Lazarus, H. Carrié, A. Vignaud and P. Ciuciu.“Self-calibrating nonlinear MR image
    reconstruction algorithms for variable density sampling and parallel reception MRI”, in
    26th Proc. ISMRM, Paris, France, June 2018 (Abstract, e-Poster).
  • J.-M. Lin and P. Ciuciu.“Minimum-variance weighted image reconstruction and the application to MRI”, in
    26th Proc. ISMRM, Paris, France, June 2018 (Abstract, e-Poster).
  • H. Carrié, L. El Gueddari, H. Cherkaoui, E. Dohmatob, L. Leroi and P. Ciuciu.“Multi-contrast dictionary
    learning for 2D compressed sensing MRI reconstruction”, in Washington, DC USA, Apr. 2018 (Abstract, Poster).
  • L. El Gueddari, C. Lazarus, H. Carrié, A. Vignaud and P. Ciuciu.“Self-calibrating nonlinear MR image
    reconstruction algorithms for variable density sampling and parallel reception MRI”, in Proc. 15 th IEEE ISBI conference, Washington, DC USA, Apr. 2018. (Abstract, Poster).
  • C. Lazarus, P. Weiss, N. Chauffert, A. Vignaud and P. Ciuciu, “SPARKLING: Novel non-Cartesian sampling schemes for accelerated 2D anatomical imaging at 7T using compressed sensing”, in Proceedings 25th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu (Hawaii), 2017 (Abstract).
  • A. Coste, N. Chauffert, F. Boumezbeur, A. Vignaud, P. Ciuciu, G. Madelin, K. Reetz, D. L. Bihan,
    C. Rabrait-Lerman and S. Romanzetti,“Improving sodium concentration measurements using sub-sampled non-Cartesian trajectories and non-linear iterative reconstruction algorithm”,in Proceedings 25th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu (Hawaii), Apr. 2017 (Poster).
  • P. Ciuciu and C. Lazarus,“Sparsifying Transform Learning for Blind Compressed Sensing In MRI, INRIA-CEA Parietal meeting at NeuroSpin, Mar. 2017, Gif-sur-Yvette, France. (Slides)
  • L. El Gueddari“Synthesis vs Analysis Sparsity Promoting MR Image reconstruction from Incomplete Data, METRIC Meething at NeuroSpin, Mar. 2017, Gif-sur-Yvette, France. (Slides)
  • C. Lazarus, P. Weiss, N. Chauffert, A. Vignaud and P. Ciuciu, “New physically plausible compressive sampling schemes for high resolution MRI”in BASP'17, Villars-sur-Ollon, Switzerland, Jan. 2017, p. 69 (Abstract), (Poster).
  • M.Jiang, J.Bobin, J.-L.Starck,“Joint Deconvolution and Blind Source Separation of Hyperspectral Data Using Sparsity”, 2016 SIAM Conference on Imaging Science (IS16), Albuquerque, New Mexico, USA.
  • C. Lazarus, A. Vignaud and P. Ciuciu, “Compressed Sensing in MRI: How the maximum undersampling factor depends on the image size”, in Proceedings 33th ESMRMB, Viena, Austria, Oct. 2017. (Abstract), (e-Poster)