Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument. - Sébastien Bourguignon; David Mary; Éric Slezak (WHISPERS, 2010)

PDR and LRMAP detection tests applied to massive hyperspectral data. - Silvia Paris; David Mary; André Ferrari (CAMSAP, 2011)

Sparsity-based composite detection tests. application to astrophysical hyperspectral data. - Silvia Paris; David Mary; André Ferrari; Sébastien Bourguignon (EUSIPCO, 2011)

Regularized split gradient method for nonnegative matrix factorization. - Henri Lantéri; Céline Theys; Cédric Richard; David Mary (ICASSP, 2011)

Sparsity-based spatial-spectral restoration of muse astrophysical hyperspectral data cubes. - Sébastien Bourguignon; Hervé Carfantan; Éric Slezak; David Mary (WHISPERS, 2011)

Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms. - Sébastien Bourguignon; David Mary; Éric Slezak (IEEE J. Sel. Top. Signal Process., 2011)

Astronomical image deconvolution using sparse priors: An analysis-by-synthesis approach. - Arwa Dabbech; David Mary; Chiara Ferrari (ICASSP, 2012)

Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data. - Silvia Paris; Raja Fazliza Raja Suleiman; David Mary; André Ferrari (ICASSP, 2013)

Minimax sparse detection based on one-class classifiers. - Raja Fazliza Raja Suleiman; David Mary; André Ferrari (ICASSP, 2013)

Detection Tests Using Sparse Models, With Application to Hyperspectral Data. - Silvia Paris; David Mary; André Ferrari (IEEE Trans. Signal Process., 2013)

Subspace learning in minimax detection. - Raja Fazliza Raja Suleiman; David Mary; André Ferrari (ICASSP, 2014)

Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument. - David Mary; André Ferrari; Silvia Paris (ICIP, 2014)

Distributed image reconstruction for very large arrays in radio astronomy. - André Ferrari; David Mary; Rémi Flamary; Cédric Richard (SAM, 2014)

A non-asymptotic standardization of binomial counts in Higher Criticism. - David Mary; André Ferrari (ISIT, 2014)

GLUP: Yet another algorithm for blind unmixing of hyperspectral data. - Rita Ammanouil; André Ferrari; Cédric Richard; David Mary (WHISPERS, 2014)

PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry. - Antony Schutz; André Ferrari; David Mary; Ferréol Soulez; Éric Thiébaut; Martin Vannier (CoRR, 2014)

Blind and Fully Constrained Unmixing of Hyperspectral Images. - Rita Ammanouil; André Ferrari; Cédric Richard; David Mary (IEEE Trans. Image Process., 2014)

Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios. - Raja Fazliza Raja Suleiman; David Mary; André Ferrari (IEEE Trans. Signal Process., 2014)

Large scale 3D image reconstruction in optical interferometry. - Antony Schutz; André Ferrari; David Mary; Éric Thiébaut; Ferréol Soulez (EUSIPCO, 2015)

Distributed multi-frequency image reconstruction for radio-interferometry. - Jeremy Deguignet; André Ferrari; David Mary; Chiara Ferrari (EUSIPCO, 2016)

Fast and robust detection of a known pattern in an image. - Loïc Denis; André Ferrari; David Mary; Laurent M. Mugnier; Éric Thiébaut (EUSIPCO, 2016)

Using hydrodynamical simulations of stellar atmospheres for periodogram standardization: Application to exoplanet detection. - Sophia Sulis; David Mary; Lionel Bigot (ICASSP, 2016)

Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. - Rita Ammanouil; André Ferrari; Rémi Flamary; Chiara Ferrari; David Mary (EUSIPCO, 2017)

A bootstrap method for sinusoid detection in colored noise and uneven sampling. Application to exoplanet detection. - Sophia Sulis; David Mary; Lionel Bigot (EUSIPCO, 2017)

A Study of Periodograms Standardized Using Training Datasets and Application to Exoplanet Detection. - Sophia Sulis; David Mary; Lionel Bigot (IEEE Trans. Signal Process., 2017)

Semi-Supervised Standardized Detection of Periodic Signals with Application to Exoplanet Detection. - Sophia Sulis; David Mary; Lionel Bigot (ICASSP, 2022)