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Publications


Full list of journal papers and conference proceedings


  • Generated by BibBase
  • Google Scholar profile

  • Thesis


  • Habilitation à diriger les recherches: manuscript, slides
  • PhD thesis: manuscript, slides
  • M.Sc. thesis: manuscript, slides

  • Invited talks


  • Statistical Learning for Signal and Image Processing (SLSIP) Workshop, Rudesheim, Germany, 2021, Image processing inspired by quantum mechanics: application to image restoration.
  • GDR ISIS meeting, 2021, Line artefact quantification in lung ultrasound images of COVID-19 patients using a non-convex regularization-based method.
  • IEEE Ultrasonics Symposium 2020, Las Vegas, USA, Inverse problems in computational ultrasound imaging and related applications: from model-based to machine learning approaches. Video available here.
  • Symposium on Image, Signal Processing and Artificial Vision 2019, Bucaramanga, Colombia, Sparse Representations and Dictionary Learning: From Image Fusion to Motion Estimation (with Jean-Yves Tourneret).
  • Symposium on Image, Signal Processing and Artificial Vision 2019, Bucaramanga, Colombia, Computational medical imaging: from model-based approaches to machine learning.
  • IEEE International Conferences on Advances in Biomedical Engineering 2019, Tripoli, Lebanon, Computational medical imaging: from model-based approaches to machine learning.

  • Technical reports


  • Q. Demoulin, F. Lefebvre-Albaret, A. Basarab, D. Kouamé, and J.-Y. Tourneret, "Derivatives Calculation for Constrained Bundle Adjustment," University of Toulouse, Feb. 2020.
  • O. E. Mansouri, F. Vidal, A. Basarab, P. Payoux, D. Kouamé, and J.-Y. Tourneret, "Technical report associated with the paper "Fusion of magnetic resonance and ultrasound images for endometriosis detection," University of Toulouse, Feb. 2020.
  • N. Ouzir, A. Basarab, H. Liebgott, B. Harbaoui, and J.-Y. Tourneret, "Motion estimation in echocardiography using sparse representation and dictionary learning," University of Toulouse, Feb. 2017.

  • A scientific dissemination paper of US-tagging project.