. Baraud, Adaptive tests of linear hypotheses by model selection, Ann. Statist, vol.31, issue.1, pp.225-251, 2003.

. Benjamini, . Hochberg, Y. Benjamini, and Y. Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing, J. Roy. Statist. Soc. Ser. B, vol.57, issue.1, pp.289-300, 1995.

. Buades, Nonlocal Image and Movie Denoising, International Journal of Computer Vision, vol.14, issue.1, pp.76123-139, 2008.
DOI : 10.1007/s11263-007-0052-1

URL : https://hal.archives-ouvertes.fr/hal-00271147

R. Durot, C. Durot, and Y. Rozenholc, An adaptive test for zero mean, Math. Methods Statist, vol.15, issue.1, pp.26-60, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00748951

. Gayraud, . Pouet, G. Gayraud, and C. Pouet, Adaptive minimax testing in the discrete regression scheme. Probab. Theory Related Fields, pp.531-558, 2005.

. Lepski, . Spokoiny, O. V. Lepski, and V. G. Spokoiny, Optimal pointwise adaptive methods in nonparametric estimation, The Annals of Statistics, vol.25, issue.6, pp.2512-2546, 1997.
DOI : 10.1214/aos/1030741083

O. V. Lepski?-i, On a Problem of Adaptive Estimation in Gaussian White Noise, Theory of Probability & Its Applications, vol.35, issue.3, pp.454-466, 1990.
DOI : 10.1137/1135065

O. V. Lepski?-i, Asymptotically Minimax Adaptive Estimation. I: Upper Bounds. Optimally Adaptive Estimates, Theory of Probability & Its Applications, vol.36, issue.4, pp.682-697, 1991.
DOI : 10.1137/1136085

S. Polzehl, J. Polzehl, and V. G. Spokoiny, Adaptive weights smoothing with applications to image restoration, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.62, issue.2, pp.335-354, 2000.
DOI : 10.1111/1467-9868.00235

. Reiß, Growing time homogeneous neighborhoods for de- noising and clustering dynamic contrast enhanced-ct sequences, 2009.

. Reiß, Pointwise adaptive estimation for robust and quantile regression, 2009.