Ancien membre

Salim Lahmiri

Doctorat

diplômé·e en 2014

Publications

  • 2024
    Lahmiri, S., Boukadoum, M., Di Ieva, A. (2024) Fractals in Neuroimaging. Advances in neurobiology, 429-444. Springer International Publishing.
  • 2018
    Lahmiri, S., Boukadoum, M. (2018) Improved Electromyography Signal Modeling for Myopathy Detection.
  • 2017
    Lahmiri, S., Boukadoum, M. (2017) A comparison of four PDE-spatial denoising systems for molecular images.
  • 2017
    Lahmiri, S., Boukadoum, M. (2017) An accurate automatic system for distinguishing neuropathy and healthy electromyography signals.
  • 2016
    Lahmiri, S., Boukadoum, M. (2016) Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation.
  • 2015
    Lahmiri, S., Boukadoum, M. (2015) Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding.
  • 2015
    Lahmiri, S., Boukadoum, M. (2015) A weighted bio-signal denoising approach using empirical mode decomposition. Biomedical Engineering Letters, 131-139. Springer Science+Business Media.
  • 2015
    Lahmiri, S., Boukadoum, M. (2015) Intelligent Ensemble Forecasting System of Stock Market Fluctuations Based on Symetric and Asymetric Wavelet Functions. Fluctuation and Noise Letters, 1550033-1550033. World Scientific.
  • 2015
    Lahmiri, S., Boukadoum, M. (2015) Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics.