William Meiniel

DENOISING BY MULTIPLE COMPRESSED SENSING RECONSTRUCTIONS

J. Olivo-Marin, E. Angelini, Y. L. Montagner, 2015 .

Denoising of Microscopy Images: A Review of the State-of-the-Art, and a New Sparsity-Based Method

Elsa D. Angelini, William Meiniel, Jean-Christophe Olivo-Marin, 2018, IEEE Transactions on Image Processing.

A sparsity-based simplification method for segmentation of spectral-domain optical coherence tomography images

William Meiniel, Jean-Christophe Olivo-Marin, Elsa Angelini, 2017, Optical Engineering + Applications.

Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples

Elsa D. Angelini, William Meiniel, Jean-Christophe Olivo-Marin, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Image denoising by adaptive Compressed Sensing reconstructions and fusions

William Meiniel, Jean-Christophe Olivo-Marin, Elsa Angelini, 2015, SPIE Optical Engineering + Applications.

Image denoising by multiple compressed sensing reconstructions

Elsa D. Angelini, William Meiniel, Jean-Christophe Olivo-Marin, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Adaptive confidence bands in the nonparametric fixed design regression model

William Meiniel, Pierre-Yves Mass'e, 2012, 1207.3975.

Reducing data acquisition for fast Structured Illumination Microscopy using Compressed Sensing

Elsa D. Angelini, William Meiniel, Piernicola Spinicelli, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).