Publications

Publications

Journal articles

    • Z. Ramzi, P. Ciuciu and J.-L. Starck. “Benchmarking MRI reconstruction neural networks on large public datasets” (2020), submitted to Applied Sciences, special issue on Signal Processing and Machine Learning for Biomedical Data.
    • S. Farrens, A. Grigis, L. El Gueddari, Z. Ramzi, Chaithya G. R., S. Starck, B. Sarthou, H. Cherlaoui, P. Ciuciu and J.-L. Starck. “PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing” (2020), to appear in Astronomy & Computing. (pdf)
    • L. El Gueddari, E. Chouzenoux, A. Vignaud and P. Ciuciu.  “Calibration-less parallel imaging compressed sensing reconstruction based on OSCAR regularization” (2020), submitted to IEEE Trans on Computational Imaging.
    • C. Lazarus, P. Weiss, , L. El Gueddari, F. Mauconduit, A. Vignaud and P. Ciuciu, “3D SPARKLING trajectories for isotropic high-resolution T2∗ weighted MR images” (2020), in revision to NMR Biomedicine. (pdf)
    • C. Lazarus, P. Weiss, L. El Gueddari, C. Destrieux, I. Zemmoura, A. Vignaud and P. Ciuciu, “SPARKLING : variable-density k-space filling curves for accelerated T2*-weighted MRI" (2019), Magnetic Resonance in Medicine:81(6):3643–3661. (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)
    • M. Jiang, J. Bobin, J.-L. Starck, “Joint Multichannel Deconvolution and Blind Source Separation” (2017), SIAM Journal on Imaging Science. 10(4):1997-2021.

Conference Proceedings

    • Z. Ramzi, P. Ciuciu and J.-L. Starck. “Benchmarking deep nets MRI reconstruction models on the FastMRI publicly available dataset” (2020). IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020): Iowa City, IO, USA. (pdf)
    • M. Jacob, L. El Gueddari, G. Navarro, M.-C. Cyrille, P. Bayle-Guillemaud, P. Ciuciu and Z. Saghi, “Statistical machine learning and compressed sensing approaches for analytical electron tomography- application to phase change materials” (2020). Microsc. Microanal., M. S. of America 2019, Ed., Aug 2019; 25(Suppl. 2):156–157. (pdf)
    • L. El Gueddari, E. Chouzenoux, A. Vignaud, J.-C. Pesquet and P. Ciuciu. “Online MR image reconstruction for compressed sensing acquisition in T2* imaging” (2019). Proc. SPIE 11138, Wavelets and Sparsity XVIII, 1113819.(doi)
    • F. Nammour, M. A. Schmitz, F. Ngolè, J.-L. Starck and J. Girard. “Radio astronomical image restoration with shape constraint” (2019). Proc. SPIE 11138, Wavelets and Sparsity XVIII, 111380A.(doi)
    • Z. Ramzi, P. Ciuciu and J.-L. Starck. “Benchmarking proximal methods acceleration enhancements for CS-acquired MR image analysis reconstruction” (2019). SPARS conference, Toulouse. (pdf)
    • L. El Gueddari, P. Ciuciu, E. Chouzenoux, A. Vignaud and J.-C. Pesquet. “Calibrationless OSCAR-based image reconstruction in compressed sensing parallel MRI” (2019). IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019): 1532-1536, Venice, Italy. (pdf)
    • 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” (2018). in 26th European Signal Processing Conference (EUSIPCO):36-40, Rome, Italy. (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” (2018). 10th IEEE Sensory Array and Multichannel (SAM) signal processing workshop:415-419 Sheffield, UK. (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, “PySAP-MRI: A Python Package for MR Image Reconstruction”, ISMRM workshop on data sampling and image reconstruction, Sedona, AZ, USA, Jan 2020. (Slides)
    • P. Ciuciu, “Online MR Image Reconstruction for Compressed Sensing acquisition in T2* Imaging”,I3S CNRS, Nice, France, Oct 2019. (Slides)
    • P. Ciuciu, “SPARKLING: variable-density k-space filling curves for accelerated T2*-weighted MRI”, Inria Sophia-Antipolis, Nice, France, Oct 2019. (Slides)
    • J.-L. Starck, “Compressed Sensing: from Cosmology to Magnetic Resonance Imaging”, Workshop on Computational Intelligence in Remote Sensing and Astrophysics, FORTH, Heraklion, Greece, Jul 2019. (Slides)
    • J.-L. Starck, “Blind Deconvolution of galaxy survey images”, Applied Inverse Problems conference, Grenoble, France, Jul 2019. (Slides)
    • J.-L. Starck, “Mathematical tools to help navigate the big data maze", H2020 FET seminar, Brussels, Belgium, June 2019.
    • J.-L. Starck, “Wavelets and Beyond - A celebration for Alexandre Grossmann and Yves Meyer”,Orsay, France, Jun 2019.
    • A. Vignaud, “L’imagerie par résonance magnétique non-cartésienne, levier pour l’accélération de l’acquisition”, GERM, Oléron, France, May 2019.
    • P. Ciuciu, “Apprentissage profond pour la reconstruction d’images IRM acquises sous forme comprimée”, Workshop dédié à l'imagerie médicale à l'heure de l'IA : défis et opportunités, Collège de France, Paris, France, Apr. 2019. (Video)
    • J.-L. Starck, “Conference on Mathematical Models and Methods in Earth and Space Science”, University of Roma, Roma,  Italy, March 2019.
    • J.-L. Starck, “Radio Image Deconvolution with Shape Constraint”, BASP Frontiers, Villars-sur-Ollon, Switzerland, Feb 2019.
    • P. Ciuciu, “SPARKLING: variable-density k-space filling curves for accelerated T2*-weighted MRI”, Heriot-Watt University, School of Engineering and Physical Sciences, Edinburgh, UK, Nov 2018. (Slides)
    • 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 Imaging”, AIDA-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 images”, in 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) 

Abstract in Conferences

    • A. Massire, Chaithya GR, L. El Gueddari, F. Mauconduit, C. Lazarus, M. Ripart, P. Brugières, P. Ciuciu and A. Vignaud. “Compressed sensing accelerated susceptibility-weighted imaging at 3T with SPARKLING: looking for favorable parametrization”, in 28th Proc. ISMRM, Sidney, Australia, Apr 2020. (Abstract)
    • L. El Gueddari, Chaithya GR, Z. Ramzi, S. Farrens, S. Starck, A. Grigis, J.-L. Starck and P. Ciuciu. “3D SPARKLING for accelerated ex vivo T2*-weighted MRI with compressed sensing”, in ISMRM workshop on Data Sampling & Image Reconstruction, Sedona, AZ, USA, Jan 2020. (Abstract, Tutorials)
    • C. Lazarus, P. Weiss, F. Mauconduit, A. Vignaud and P. Ciuciu.“3D SPARKLING for accelerated ex vivo T2*-weighted MRI with compressed sensing”, in 27th Proc. ISMRM, Montreal, QU, Canada, May 2019. (Abstract)
    • L. El Gueddari, P. Ciuciu, E. Chouzenoux, A. Vignaud and J.-C. Pesquet. “OSCAR-based reconstruction for compressed sensing and parallel MR imaging”, in 27th Proc. ISMRM, Montreal, QU, Canada, May 2019. (Abstract)
    • L. El Gueddari, E. Chouzenoux, J.-C. Pesquet, A. Vignaud and P. Ciuciu. “Online compressed sensing MR image reconstruction for high resolution imaging”, in 27th Proc. ISMRM, Montreal, QU, Canada, May 2019. (Abstract)
    • 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)