non Astro Applications


MRI Imaging:

  • 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, submitted, 2020.
  • 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)
  • 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)
  • 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)
  • 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)

Application in Medical Imaging and Bioimaging:


Application in Agriculture:

  • M. Morehart, F. Murtagh and J.L. Starck, "Spatial representation of economic and financial measures used in agriculture via wavelet analysis", International Journal of Geographic Information Systems, 13, 557-576, 1999.


Application in Video Processing :


Electricity load times series forecasting 


Financial data times series forecasting and filtering 


Range Imaging:

  • G. Tsagkatakis, A. Woiselle, G. Tzagkarakis, M. Bousquet, J. L. Starck, and P. Tsakalides, “Multireturn Compressed Gated Range Imaging,” Optical Engineering, special issue on Computational Approaches to Imaging LADAR, 031106, 2015. doi:10.1117/1.OE.54.3.031106.