Book - Livre
  J.-L Starck, F. Murtagh, M.J. Fadili, "Sparse Image and Signal Processing: Wavelets and Related Geometric Multiscale Analysis", (2nd Edition, ed.), Cambridge University Press, Cambridge, 2015 (in press).

  J.-L Starck, F. Murtagh, M.J. Fadili, "Sparse Signal and Image Processing: Wavelets, Curvelets and Morphological Diversity", Cambridge University Press, Cambridge, 2010.

Chapter - Chapitre de livre
  S. Vaiter, G. Peyré, M.J. Fadili,"Low Complexity Regularization of Linear Inverse Problems", Chapter in Sampling Theory, a Renaissance (Gotz Pfander, ed.), Birkhäuser/Springer, 2015.

  Lanusse F., Starck J.-L., Woiselle A., M.J. Fadili, "3D Sparse Representations", Chapter in Advances in Imaging and Electron Physics (Peter Hawkes, ed.), Academic Press, Elsevier, 2013.

  J. Schmitt, J.-L. Starck, M.J. Fadili, S. Digel, "Poisson Noise Removal in Spherical Multichannel Images: Application to Fermi data", Chapter in Advances in Machine Learning and Data Mining for Astronomy, Chapman and Hall, 2011.

  S. Jehan-Besson, F. Lecellier, M.J. Fadili, G. Née, G. Aubert, "Medical image segmentation and tracking through the maximisation or the minimisation of divergence between pdfs", Chapter in Biomedical diagnostics and clinical technologies : Applying high performance clu, 2009.

  M.J. Fadili, J.-L. Starck, "Curvelets and Ridgelets", Chapter in Encyclopedia of Complexity and Systems Science (R.A. Meyers, ed.), Springer, Vol. 14, pp. 1718-1738, 2009.

  J-L. Starck, M.J. Fadili, "Numerical Issues When Using Wavelets", Chapter in Encyclopedia of Complexity and Systems Science (R.A. Meyers, ed.), Springer, Vol. 14, pp. 6352-6368, 2009.

  J. Bobin, J-L. Starck, Y. Moudden, M.J. Fadili, "Blind Source Separation : The Sparsity Revolution", Chapter in Advances in Imaging and Electron Physics (Peter Hawkes, ed.), Academic Press, Elsevier, Vol. 152, pp. 221-306, 2008.

International Journal - Revue internationale avec comite de lecture
  P. Ochs, M.J. Fadili, T. Brox, "Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms", Journal of Optimization Theory and Applications, 2018. (in press)

  T. Luu, M.J. Fadili, C. Chesneau, "PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting", Journal of Multivariate Analysis, 2018. (in press)

  T. Luu, M.J. Fadili, C. Chesneau, "Sharp Oracle Inequalities for Low-complexity Priors", Annals of the Institute of Statistical Mathematics, 2018. (in press)

  M.J. Fadili, J. Malick, G. Peyré, "Sensitivity Analysis for Mirror-Stratifiable Convex Functions", SIAM Journal on Optimization, 2018. (in press)

  Y. Hafiene, M.J. Fadili, A. Elmoataz, "Nonlocal $p$-Laplacian evolution problems on graphs", SIAM Journal on Numerical Analysis, 2017. (in press)

  J. Liang, M.J. Fadili, G. Peyré, "Local Linear Convergence Analysis of Primal-Dual Splitting", Optimization, 2017. (in press)

  S. Vaiter, G. Peyré, M.J. Fadili, "Model Consistency of Partly Smooth Regularizers", IEEE Transactions on Information Theory, 2017. (in press)

  J. Liang, M.J. Fadili, G. Peyré, "Local Convergence Properties of Douglas--Rachford and Alternating Direction Method of Multipliers", Journal of Optimization Theory and Applications, Vol. 172, No. 3, pp. 874-913, 2017.

  J. Liang, M.J. Fadili, G. Peyré, "Activity Identification and Local Linear Convergence of Forward--Backward-type methods", SIAM Journal on Optimization, Vol. 27, No. 1, pp. 408-437, 2017.

  S. Vaiter, C. Deledalle, M.J. Fadili, G. Peyré, C. Dossal, "The Degrees of Freedom of Partly Smooth Regularizers", Annals of the Institute of Statistical Mathematics, Vol. 69, No. 4, pp. 791-832, 2017.

  J. Liang, M.J. Fadili, G. Peyré, "Convergence Rates with Inexact Non-expansive Operators", Mathematical Programming, Vol. 159, No. 1--2, pp. 403-434, 2016.

  S. Vaiter, M. Golbabaee, M.J Fadili, G. Peyré, "Model Selection with Low Complexity Priors", Information and Inference: A Journal of the IMA (IMAIAI), Vol. 4, No. 3, pp. 230-287, 2015.

  C. Chesneau, M.J. Fadili, B. Maillot, "Adaptive estimation of an additive regression function from weakly dependent data", J. of Multivariate Analysis, Vol. 133, No. 1, pp. 77-94, 2015.

  C.-A. Deledalle, S. Vaiter, M.J. Fadili, G. Peyré, "Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection", SIAM J. Imaging Sciences, Vol. 7, No. 4, pp. 2448-2487, 2014.

  F. Navarro, C. Chesneau, M.J. Fadili, "On adaptive wavelet estimation of a class of weighted densities", Communications in Statistics: Simulation and Computation, Vol. 44, No. 8, pp. 2137-2150, 2013.

  L. Jacques, D. Hammond, M.J. Fadili, "Stabilizing Nonuniformly Quantized Compressed Sensing with Scalar Companders", IEEE Transactions on Information Theory, Vol. 59, No. 12, pp. 7969-7984, 2013.

  F. Navarro, C. Chesneau, M.J. Fadili, T. Sassi, "Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model", Electronic Journal of Statistics, Vol. 7, pp. 428-453, 2013.

  S. Beckouche, J.-L. Starck, M.J. Fadili, "Astronomical Image Denoising Using Dictionary Learning", Astronomy and Astrophysics, Vol. 556, No. A132, pp. 14, 2013.

  J.-L. Starck, D. Donoho, M.J. Fadili, A. Rassat, "Sparsity and the Bayesian Perspective", Astronomy and Astrophysics, Vol. 550, No. A15, 2013.

  S. Vaiter, C. Deledalle, G. Peyré, M.J. Fadili, C. Dossal, "Local Behavior of Sparse Analysis Regularization: Applications to Risk Estimation", Applied and Computational Harmonic Analysis, Vol. 35, No. 3, pp. 433-451, 2013.

  S. Vaiter, G. Peyré, C. Dossal, M.J. Fadili, "Robust Sparse Analysis Regularization", IEEE Transactions on Information Theory, Vol. 59, No. 4, pp. 2001-2016, 2013.

  J.-L. Starck, M.J. Fadili, A. Rassat, "Low-$\ell$ CMB Analysis and Inpainting", Astronomy and Astrophysics, Vol. 550, No. A15, 2013.

  C. Dossal, M. Kachour, M. J. Fadili, G. Peyré, C. Chesneau, "The degrees of freedom of the Lasso for general design matrix", Statistica Sinica, Vol. 23, No. 2, pp. 809-828, 2013.

  H. Raguet, M.J. Fadili, Peyré, "A Generalized Forward-Backward Splitting", SIAM Journal on Imaging Sciences, Vol. 6, No. 3, pp. 1199-1226, 2013.

  J. Schmitt, J.L. Starck, J.M. Casandjian, M.J. Fadili, I. Grenier, "Multichannel Poisson Denoising and Deconvolution on the Sphere : Application to the Fermi Gamma Ray Space Telescope", Astronomy and Astrophysics, Vol. 546, No. A114, pp. 10, 2012.

  P. Paykari, J.-L. Starck, M.J. Fadili, "True cosmic microwave background power spectrum estimation", Astronomy and Astrophysics, Vol. 541, No. A74, 2012.

  J. Bobin, J.-L. Starck, F. Sureau, M. J. Fadili, "CMB map restoration", Advances in Astronomy, Vol. 2012, No. ID 703217, pp. 15, 2012.

  C. Chesneau, M.J. Fadili, "Adaptive wavelet estimation of a function in an indirect regression model", Advances in Statistical Analysis, Vol. 96, No. 1, pp. 25-46, 2012.

  C. Dossal, M.-L. Chabanol, G. Peyré, M.J. Fadili, "Sharp Support Recovery from Noisy Random Measurements by l1 minimization", Applied and Computational Harmonic Analysis, Vol. 33, No. 1, pp. 24-43, 2012.

  F.-X. Dupé, M.J. Fadili, J.-L. Starck, "Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis sparsity priors", Statistiscal Methodology, Vol. 9, pp. 4-18, 2012.

  C. Chesneau, M.J. Fadili, "Wavelet-based density estimation in a heteroscedastic convolution model", Communications in Statistics Theory and Methods, Vol. 42, No. 17, pp. 3085-3099, 2011.

  L. Jacques, D. Hammond, M.J. Fadili, "Dequantizing compressed sensing: When oversampling and non-gaussian constraints combine", IEEE Transactions on Information Theory, Vol. 57, No. 1, pp. 559-571, 2011.

  A. Woiselle, J.-L. Starck, M. J. Fadili, "3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform", Journal of Mathematical Imaging and Vision, Vol. 39, No. 19, pp. 121-139, 2011.

  F.-X. Dupé, A. Rassat, J.-L. Starck, M.J. Fadili, "An Optimal Approach for Measuring the Integrated Sachs Wolfe Effect", Astronomy and Astrophysics, 2011.

  F. Lecellier, M.J. Fadili, S. Jehan-Besson, G. Aubert, M. Revenu, E. Saloux, "Region-Based Active Contours with Exponential Family Observations", Journal of Mathematical Imaging and Vision, Vol. 36, No. 1, pp. 28-45, 2010.

  M.J. Fadili, G. Peyré, "Total variation projection with first order schemes", IEEE Transactions on Image Processing, Vol. 20, No. 3, pp. 657-669, 2010.

  M.J. Fadili, J.-L. Starck, M. Elad, D.L. Donoho, "MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting", IEEE Computing in Science and Engineering, Vol. 12, No. 1, pp. 44-62, 2010.

  C. Chesneau, M.J. Fadili, J.-L. Starck, "Stein block thresholding for image denoising", Applied and Computational Harmonic Analysis, Vol. 28, No. 1, pp. 67-88, 2010.

  C. Dossal, G. Peyré, M.J. Fadili, "A Numerical Exploration of Compressed Sampling Recovery", Linear Algebra and its Applications, Vol. 432, No. 1, pp. 1663-1679, 2010.

  M.J. Fadili, J.-L. Starck, J. Bobin, Y. Moudden, "Image decomposition and separation using sparse representations: an overview", Proceedings of the IEEE, Special Issue: Applications of Sparse Representation, Vol. 98, No. 6, pp. 983-994, 2010.

  G. Peyré, M.J. Fadili, J.-L. Starck, "Learning the morphological diversity", SIAM Journal on Imaging Sciences, Vol. 3, No. 3, pp. 646-669, 2010.

  C. Chesneau, M.J. Fadili, J.-L. Starck, "Stein block thresholding for wavelet-based image deconvolution", Electronic Journal of Statistics, Vol. 4, pp. 415-435, 2010.

  A. Woiselle, J.-L. Starck, M.J. Fadili, "3D Curvelet transforms and Astronomical Data Restoration", Applied and Computational Harmonic Analysis, Vol. 28, No. 2, pp. 171-188, 2010.

  S. Durand, M.J. Fadili, M. Nikolova, "Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients", Journal of Mathematical Imaging and Vision, Vol. 36, pp. 201-226, 2010.

  J. Bobin, Y. Moudden, M.J. Fadili, J-L. tarck, "Morphological Diversity and Sparsity for Multichannel Data Restoration", Journal of Mathematical Imaging and Vision, Vol. 33, No. 2, pp. 149-168, 2009.

  S. Pires, J.-L. Starck, A. Amara, R. Teyssier, A. Réfrégier, M.J. Fadili, "FASTLens (FAst STatistics for weak Lensing) : Fast method for Weak Lensing Statistics and map making", Monthly Notices of the Royal Astronomical Society, Vol. 393, No. 3, pp. 1265-1279, 2009.

  J.-L. Starck, M.J. Fadili, S. Digel, B. Zhang, J. Chiang, "Source Detection Using a 3D Sparse Representation: Application to the Fermi Gamma-ray Space Telescope", Astronomy and Astrophysics, Vol. 504, No. 2, pp. 641-652, 2009.

  F.-X. Dupé, M.J. Fadili, J-L. Starck, "A proximal iteration for deconvolving Poisson noisy images using sparse representations", IEEE Transactions on Image Processing, Vol. 18, No. 2, pp. 310-321, 2009.

  P. Abrial, Y. Moudden, J-L. Starck, M.J. Fadili, J. Delabrouille, M.K. Nguyen, "CMB data analysis and sparsity", Statistical Methodology, Vol. 5, No. 4, pp. 289-298, 2008.

  B. Zhang, M.J. Fadili, J-L. Starck, "Fast Poisson Noise Removal by Biorthogonal Haar Domain Hypothesis Testing", Statistical Methodology, Vol. 5, No. 4, pp. 387-396, 2008.

  B. Zhang, M.J. Fadili, J-L. Starck, "Wavelets, Ridgelets and Curvelets for Poisson Noise Removal", IEEE Transactions on Image Processing, Vol. 17, No. 7, pp. 1093-1108, 2008.

  J. Bobin, Y. Moudden, J-L. Starck, M.J. Fadili, J. Robin, "SZ and CMB reconstruction using Generalized Morphological Component Analysis", Statistical Methodology, Vol. 5, No. 4, pp. 307-317, 2008.

  M.J. Fadili, J-L. Starck, F. Murtagh, "Inpainting and Zooming using Sparse Representations", The Computer Journal, Vol. 52, No. 1, pp. 64-79, 2007.

  J. Bobin, J-L. Starck, M.J. Fadili, Y. Moudden, "Sparsity and Morphological Diversity in Blind Source Separation", IEEE Transactions on Image Processing, Vol. 16, No. 11, pp. 2662-2674, 2007.

  P. Abrial, Y. Moudden, J.L. Starck, B. Afeyan, J. Bobin, M.J. Fadili, M.K. Nguyen, "Morphological Component Analysis and Inpainting on the Sphere: Application in Physics and Astrophysics", Journal of Fourier Analysis and Applications, Vol. 13, No. 6, pp. 729-748, 2007.

  J. Bobin, J-L. Starck, M.J. Fadili, Y. Moudden, D.L. Donoho, "Morphological Component Analysis : An Adaptive Thresholding Strategy", IEEE Transactions on Image Processing, Vol. 16, No. 11, pp. 2675-2681, 2007.

  J-L. Starck, M.J. Fadili, F. Murtagh, "The Undecimated Wavelet Decomposition and Its Reconstruction", IEEE Transactions on Image Processing, Vol. 16, No. 2, pp. 297-309, 2007.

  J. Suckling, M. Davis, C. Ooi, A. Meije Wink, M.J. Fadili, R. Salvador, D. Welchew, L. Sendur, V. Maxim, E. Bullmore, "Permutation testing of orthogonal, factorial effects in a language processing experiment using fMRI", Human Brain Mapping, Vol. 27, No. 5, pp. 425-433, 2006.

  L. Boubchir, M.J. Fadili, "A Closed-form Nonparametric Bayesian Estimator in The Wavelet-domain of Images Using an Approximate alpha-stable Prior", Pattern Recognition Letters, Vol. 27, No. 12, pp. 1370-1382, 2006.

  M.J. Fadili, E.T. Bullmore, "Penalized Partially Linear Models using Sparse Representations with an Application to fMRI Time Series", IEEE Transactions on Signal Processing, Vol. 53, No. 9, pp. 3436-3448, 2005.

  M.J. Fadili, L. Boubchir, "Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities", IEEE Transactions on Image Processing, Vol. 14, No. 2, pp. 231-240, 2005.

  V. Maxim, L. Sendur, M.J. Fadili, J. Suckling, R. Gould, R. Howard, "Fractional Gaussian noise, functional MRI and Alzheimer's disease", NeuroImage, Vol. 25, pp. 141-158, 2005.

  E. Bullmore, M.J. Fadili, V. Maxim, L. Sendur, B. Whitcher, J. Suckling, M. Brammer, M. Breakspear, "Wavelets and functional magnetic resonance imaging of the human brain", NeuroImage (invited), Mathematics in Brain Imaging, Vol. 23, pp. 234-249, 2004.

  M.J. Fadili, M. Melkemi, A. Elmoataz, "Non-convex onion peeling using a shape hull algorithm", Pattern Recognition Letters, Vol. 25, No. 14, pp. 1577-1585, 2004.

  M.J. Fadili, E. Bullmore, "A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps", NeuroImage, Vol. 23, No. 3, pp. 1112-1128, 2004.

  E.T. Bullmore, M.J. Fadili, M. Breakspear, R. Salvador, J. Suckling, M. Brammer, "Wavelets and statistical analysis of functional magnetic resonance images of the human brain", Statistical Methods in Medical Research (invited), Vol. 12, No. 5, pp. 375-399, 2003.

  S. Ruan, B. Moretti, M.J. Fadili, D. Bloyet,"Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images", Computer Vision and Image Understanding, Vol. 85, pp. 54-69, 2002.

  C. Dolabdjian, M.J. Fadili, E. Huertas Leyva, "Classical low-pass filter and real-time wavelet-based denoising technique implemented on a DSP: a comparison study", The European Physical Journal Applied Physics, Vol. 20, pp. 135-140, 2002.

  L.K. Pilgrim, M.J. Fadili, P. Fletcher, L.K. Tyler,"Overcoming Confounds of Stimulus Blocking : An Event-Related fMRI Design of Semantic Processing", NeuroImage, Vol. 16, pp. 713-723, 2002.

  M.J. Fadili, E.T. Bullmore, "Wavelet-generalised least squares: a new BLU estimator of linear regression models with 1/f errors", NeuroImage, Vol. 15, pp. 217-232, 2002.

  E.T. Bullmore, C. Long, J. Suckling, M.J. Fadili, G. Calvert, F. Zelaya, T.A. Carpenter, M. Brammer, "Colored noise and computational inference in neurophysiological fMRI time series analysis: Resampling methods in time and wavelet domains", Human Brain Mapping, Vol. 12, No. 2, pp. 61-78, 2001.

  M.J. Fadili, S. Ruan, D. Bloyet, B. Mazoyer, "On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series", Medical Image Analysis, Vol. 5, No. 1, pp. 55-67, 2001.

  S. Gustard, M.J. Fadili, E.J. Williams, L.D. Hall, T.A. Carpenter, M. Brett, E.T. Bullmore, "Effect of slice orientation on reproductibility of fMRI motor activation at 3 Tesla", Magnetic Resonance Imaging, Vol. 19, No. 10, pp. 1323-1331, 2001.

  S. Ruan, C. Jaggi, J. Xue, M.J. Fadili, D. Bloyet, "Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling", IEEE Transactions on Medical Imaging, Vol. 19, No. 12, pp. 1179-1187, 2000.

  B. Moretti, M.J. Fadili, S. Ruan, D. Bloyet, B. Mazoyer, "Phantom-Based Performance Evaluation - Application To Brain Segmentation From Magnetic Resonance Images", Medical Image Analysis, Vol. 4, No. 4, pp. 303-316, 2000.

  M.J. Fadili, S. Ruan, D. Bloyet, B. Mazoyer, "A multistep Unsupervised Fuzzy Clustering Analysis of fMRI time series", Human Brain Mapping, Vol. 10, No. 4, pp. 160-178, 2000.

National Journal - Revue nationale avec comite de lecture
  M.J. Fadili, J. Mathieu, M. Desvignes,"La transformation de Fisz pour l'estimation de l'image des intensités d'un bruit Poissonien dans le domaine des ondelettes", Traitement du Signal, Vol. 21, No. 4, pp. 313-328, 2004.

  M.J. Fadili, B. Moretti, S. Ruan, D. Bloyet,"Méthode coopérative et quantification de la segmentation de l'encéphale en Imagerie par Résonance Magnétique", Traitement du signal, Vol. 15, No. 5, pp. 353-363, 1998.

Proceedings of International Conferences - Communication internationale avec actes et comite de lecture
  K. Degraux, G. Peyré, M.J. Fadili, L. Jacques, "Sparse Support Recovery with Non-smooth Loss Functions", In Advances in Neural Information Processing Systems (NIPS), 2016.

  J. Liang, M.J. Fadili, G. Peyré, "A Multi-step Inertial Forward--Backward Splitting Method for Non-convex Optimization", In Advances in Neural Information Processing Systems (NIPS), 2016.

  J. Liang, M.J. Fadili, G. Peyré, R. Luke, "Local Linear Convergence of Douglas--Rachford/ADMM for Low Complexity Regularization", In SPARS 2015, 2015.

  J. Liang, M.J. Fadili, G. Peyré, "Local Linear Convergence of Inertial Forward--Backward Splitting for Low Complexity Regularization", In SPARS 2015, 2015.

  J. Liang, M.J. Fadili, G. Peyré, Russell Luke, "Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness", In SSVM 2015 - International Conference on Scale Space and Variational Methods in Computer Vision, 2015.

  J. Liang, M.J. Fadili, G. Peyré, "Local Linear Convergence of Forward--Backward under Partial Smoothness", In Advances in Neural Information Processing Systems (NIPS), 2014.

  J. Liang, M.J. Fadili, G. Peyré, "On the Convergence Rates of Proximal Splitting Algorithms", In IEEE ICIP, 2014.

  J. Liang, M.J. Fadili, G. Peyré, "Iteration-Complexity of a Generalized Forward Backward Splitting Algorithm", In IEEE ICASSP, 2014.

  F. Navarro, M.J. Fadili, C. Chesneau, "Adaptive parameter selection for block wavelet-thresholding deconvolution", In IFAC International Workshop on Adaptation and Learning in Control and signal Processing (ALCOSP), 2013.

  S. Vaiter, G. Peyré, M.J. Fadili, "Robust Polyhedral Regularization", In International Conference on Sampling Theory and Applications (SampTA), Bremen, 2013.

  M.J. Fadili, G. Peyré, S. Vaiter, C. Deledalle, J. Salmon, "Stable Recovery with Analysis Decomposable Priors", In International Conference on Sampling Theory and Applications (SampTA), Bremen, 2013.

  M.J. Fadili, G. Peyré, S. Vaiter, C. Deledalle, J. Salmon, "Stable Recovery with Analysis Decomposable Priors", In SPARS'13, Lauzanne, 2013.

  S. Vaiter, G. Peyré, M.J. Fadili, C. Deledalle, C. Dossal, "The degrees of freedom of the group Lasso for a general design", In SPARS'13, Lauzanne, 2013.

  C. Deledalle, G. Peyré, M.J. Fadili, "Stein COnsistent Risk Estimator (SCORE) for hard thresholding", In SPARS'13, Lauzanne, 2013.

  C.-A. Deledalle, S. Vaiter, G. Peyré, M.J. Fadili, C. Dossal, "Unbiased Risk Estimation for Sparse Analysis Regularization", In IEEE ICIP, Orlando, 2012.

  S. Vaiter, C. Deledalle, G. Peyré, M.J. Fadili, C. Dossal, "Degrees of Freedom of the Group Lasso", In ICML workshop on Sparsity, Dictionaries and Projections in Machine Learning and Signal Processing, Edinburgh, 2012.

  G. Peyré, M.J. Fadili, J. Rabin, "Wasserstein active contours", In IEEE ICIP, Orlando, 2012.

  S. Becker, M.J. Fadili, "A quasi-Newton proximal splitting method", In Advances in Neural Information Processing Systems (NIPS) (P. Bartlett, F.C.N. Pereira, C.J.C. Burges, L. Bottou, K.Q. Weinberger, eds.), Vol. 25, pp. 2627-2635, 2012. (spotlight)

  C. Deledalle, S. Vaiter, G. Peyré, M.J. Fadili, C. Dossal, "Risk estimation for matrix recovery with spectral regularization", In ICML workshop on Sparsity, Dictionaries and Projections in Machine Learning and Signal Processing, Edinburgh, 2012.

  C.-A. Deledalle, S. Vaiter, G. Peyré, M.J. Fadili, C. Dossal, "Proximal Splitting Derivatives for Risk Estimation", In 2nd International Workshop on New Computational Methods for Inverse Problems (NCMIP), Paris, 2012.

  F.X. Dupé, M.J. Fadili, J.-L. Starck, "Data augmentation for galaxy density map reconstruction", In IEEE ICIP, Brussels, 2011.

  G. Peyré, M.J. Fadili, "Learning analysis-sparsity priors", In International Conference on Sampling Theory and Applications (SampTA), Singapour, 2011.

  G. Peyré, M.J. Fadili, "Group Sparsity with Overlapping Partition Functions", In EUSIPCO, Barcelona, 2011.

  L. Jacques, D. Hammond, M.J. Fadili, "Weighted Fidelity in Non-Uniformly Quantized Compressed Sensing", In IEEE ICIP, Brussels, 2011.

  F.X. Dupé, M.J. Fadili, J.-L. Starck, "Inverse Problems with Poisson noise: Primal and Primal-Dual Splitting", In IEEE ICIP, Brussels, 2011.

  M.J. Fadili, F. Lecellier, S. Jehan-Besson, "Multiscale transforms for region-based texture segmentation", In International Conference on Sampling Theory and Applications (SampTA), Singapour, 2011.

  G. Peyré, M.J. Fadili, C. Chesneau, "Adaptive Structured Block Sparsity Via Dyadic Partitioning", In EUSIPCO, Barcelona, 2011.

  F.-X. Dupé, M.J. Fadili, J.-L. Starck, "Linear inverse problems with various noise models and mixed regularizations", In 1st InternationalWorkshop on New Computational Methods for Inverse Problems, Paris, 2011.

  Y. Boursier, L. Jacques, D. Raboud, P. Frossard, M. Fadili, P. Vandergheynst, "TV-regularized generation of planar images from omnicams", In IEEE ICIP, Cairo, 2009.

  F. Lecellier, S. Jehan-Besson, M.J. Fadili, G. Aubert, M. Revenu, "Optimization of Divergences Within the Exponential Family for Image Segmentation", In 2nd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM, Voss, 2009.

  L. Jacques, D. K. Hammond, M. J. Fadili, "Dequantizing compressed sensing with non-gaussian constraints", In IEEE ICIP, Cairo, 2009.

  J.-L. Starck, M.J. Fadili, "An overview of inverse problem regularization using sparsity", In IEEE ICIP, Cairo, 2009.

  C. Dossal, G. Peyré, M.J. Fadili, "A Numerical Exploration of Compressed Sampling Recovery", In SPARS'09, St Malo, 2009.

  C. Dossal, G. Peyré, M.J. Fadili, "Challenging Restricted Isometry Constants with Greedy Pursuit", In IEEE Information Theory Workshop, Taormina, 2009.

  A. Woiselle, J.-L. Starck, M.J. Fadili,"Three-dimensional inpainting using sparse representations", In SPIE Wavelets XIII, San Diego, 2009.

  J. Bobin, Y. Moudden, J.-L. Starck, M.J. Fadili, "Sparsity and morphological diversity for hyperspectral data analysis", In IEEE ICIP, Cairo, 2009.

  M.J. Fadili, J.-L. Starck, B. Zhang, S. Digel, "Poisson noise removal in multivariate count data", In SPIE Wavelets XIII, San Diego, 2009.

  C. Chesneau, M.J. Fadili, J.-L. Starck, "Image deconvolution by block Stein thresholding", In IEEE ICIP, Cairo, 2009.

  J. Bobin, Y. Moudden, J.-L. Starck, M.J. Fadili, "Sparsity and morphological diversity for multivalued data analysis", In SPIE Wavelets XIII, San Diego, 2009.

  M.J. Fadili, G. Peyré, "Total variation projection with first order schemes", In IEEE ICIP, Cairo, 2009.

  J. Schmitta, J.L. Starck, M.J. Fadili, I. Grenier, J.M. Casandjian, "Poisson Denoising on the Sphere", In SPIE Wavelets XIII, San Diego, 2009.

  Y. Moudden, J. Bobin, J.-L. Starck, M.J. Fadili, "Dictionary learning with spatio-spectral sparsity constraints", In SPARS'09, St Malo, 2009.

  M.J. Fadili, J-L. Starck, "Monotone operator splitting for optimization problems in sparse recovery", In IEEE ICIP, Cairo, 2009.

  S. Durand, M.J. Fadili, M. Nikolova, "Multiplicative noise cleaning via a variational method involving curvelet coefficients", In 2nd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM, Voss, 2009.

  F. Lecellier, M.J. Fadili, S. Jehan-Besson, G. Aubert, M. Revenu,"Region-based active contours and sparse representations for texture segmentation", In ICPR 2008, Tampa, 2008.

  F.-X. Dupé, M.J. Fadili, J-L. Starck, "Image deconvolution under Poisson noise using sparse representations and proximal thresholding iteration", In ICASSP 2008, Las Vegas, 2008.

  F.-X. Dupé, M.J. Fadili, J-L. Starck, "Deconvolution of confocal microscopy images using proximal iteration and sparse representations", In ISBI 2008, Paris, 2008.

  D. Tschumperlé, Y. Bentolila, J. Martinot, M.J. Fadili, "Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences.", In IEEE ICIP, San Antonio, 2007.

  J. Bobin, M.J. Fadili, Y. Moudden, J-L. Starck, "Morphological diversity and sparsity: new insights into multivariate data analysis", In SPIE Wavelets XII, San Diego, 2007.

  I. Khalidov, D. Van De Ville, M.J. Fadili, M. Unser, "Activelets and sparsity: a new way to detect brain activation from fMRI data", In SPIE Wavelets XII, San Diego, 2007.

  M.J. Fadili, J-L. Starck, L. Boubchir, "Morphological Diversity and Sparse Image Denoising", In IEEE ICASSP, Vol. I, Honolulu, pp. 589-592, 2007.

  J. Bobin, Y. Moudden, M.J. Fadili, J-L. Starck, "Morphological diversity and sparsity in blind source separation", In Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation ICA'07, London, 2007.

  G. Peyré, M.J. Fadili, J-L. Starck, "Learning Adapted Dictionaries for Geometry and Texture Separation", In SPIE Wavelets XII, San Diego, 2007.

  B. Zhang, M.J. Fadili, J-L. Starck, J-C. Olivo-Marin, "Multiscale Variance-Stablizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging", In IEEE ICIP, San Antonio, 2007.

  D. Tschumperlé, M.J. Fadili, Y. Bentolila, "Wire Structure Pattern Extraction and Tracking From X-Ray Images of composite Mechanisms", In CVPR'06 (IEEE Computer Society Conference on, New York, 2006.

  F. Lecellier, S. Jehan-Besson, M.J. Fadili, G. Aubert, M. Revenu, E. Saloux, "Region-based active contours with noise and shape priors", In IEEE ICIP, Atlanta, pp. 1649-1652, 2006.

  F. Lecellier, S. Jehan-Besson, M.J. Fadili, G. Aubert, M. Revenu, "Statistical region-based active contours with exponential family observations", In IEEE ICASSP, Vol. 2, Toulouse, pp. 113-116, 2006.

  M.J. Fadili, J.L. Starck,"EM algorithm and sparse representations for joint image decomposition and inpainting", In SIAM International conference on Imaging Science (invited presentation), Minneapolis, 2006.

  B. Zhang, M.J. Fadili, J.L. Starck, S.W. Digel, "Fast Poisson Noise Removal by Biorthogonal Haar Domain Hypothesis Testing", In Astronomical Data Analysis ADA'06, Marseille, 2006.

  P. Abrial, J.L. Starck, Y. Moudden, M.J. Fadili, J. Delabrouille,"CMB data analysis and sparsity", In Astronomical Data Analysis ADA'06, Marseille, 2006.

  B. Zhang, M.J. Fadili, J-L. Starck, "Multi-scale variance stabilizing transform for multi-dimensional Poisson count image denoising", In IEEE ICASSP, Toulouse, 2006.

  M.J. Fadili, J.L. Starck, "Sparse Representation-based Image Deconvolution by Iterative Thresholding", In Astronomical Data Analysis ADA'06, Marseille, 2006.

  J. Bobin, Y. Moudden, J-L. Starck, M.J. Fadili, J. Robin, "SZ and CMB reconstruction using Generalized Morphological Component Analysis", In Astronomical Data Analysis ADA'06, Marseille, 2006.

  S.W. Digel, B. Zhang, J. Chiang, M.J. Fadili, J-L. Starck, "Application Of A Multidimensional Wavelet Denoising Algorithm For The Detection And Characterization Of Astrophysical Sources Of Gamma Rays", In PHYSTAT 05, Statistical Problems In Particle Physics, Astrophysics And Cosmology, Oxford, 2005.

  M.J. Fadili, J-L. Starck, "Sparse Representations and Bayesian Image Inpainting", In SPARS'05, Vol. I, Rennes, 2005.

  M.J. Fadili, J-L. Starck, "EM Algorithm for Sparse Representation-based Image Inpainting", In IEEE International Conference on Image Processing ICIP'05, Vol. II, Genoa, pp. 61-63, 2005.

  L. Boubchir, M.J. Fadili, "Multivariate Statistical Modeling of Images with The Curvelet Transform", In Eighth International Conference on Signal Processing and Its Applications - IEEE ISSPA 2005, Sydney, pp. 747-750, 2005.

  L. Boubchir, M.J. Fadili, "Bayesian Denoising Based on The MAP Estimation in Wavelet-domain Using Bessel K Form Prior", In IEEE International Conference on Image Processing ICIP'05, Vol. I, Genoa, pp. 113-116, 2005.

  H. Li, A. Elmoataz, M.J. Fadili, S. Ruan,"A Multi-label Front Propagation Approach for Object Segmentation", In Proceedings of the 17th International Conference of Pattern Recognition (ICPR 2004), Cambridge, 2004.

  H. Li, A. Elmoataz, M.J. Fadili, S. Ruan,"Dual Front Evolution Model and Its Application in Medical Imaging", In Medical Image Computing and Computer-Assisted Intervention---MICCAI'2004, Vol. 3216, Saint Malo, pp. 103-110, 2004.

  M.J. Fadili,"Estimating fMRI Time Series Models in the Wavelet Domain", In SIAM International conference on Imaging Science (invited presentation), Salt Lake city, 2004.

  M.J. Fadili, E.T. Bullmore, "Penalized partially linear models using Orthonormal Wavelet Bases with an application to fMRI time series", In IEEE International Symposium on Biomedical Imaging (invited paper), Arlington VA, pp. 1171-1174, 2004.

  L. Boubchir, M.J. Fadili, D. Bloyet, "Bayesian Denoising in the Wavelet-domain Using an Analytical Approximate alpha-stable prior", In ICPR 2004 - 17 th International Conference On Pattern Recognition, Vol. 4, Cambridge, pp. 889-892, 2004.

  H. Li, A. Elmoataz, M.J. Fadili, S. Ruan, "An improved image segmentation method based on level set and mathematical morphology", In Proceedings of SPIE 3rd International Symposium on Multispectral Image Processing and Pattern Recogn, Vol. 5286, No. 2, Pekin, pp. 851-854, 2003.

  M.J. Fadili, J. Mathieu, M. Desvignes, "Bayesian wavelet-based Poisson intensity estimation of images using the Fisz transformation", In International Conference on Image and Signal Processing, Vol. 1, Agadir, pp. 242-253, 2003.

  M.J. Fadili, E.T. Bullmore, "Wavelet-based approaches for multiple hypothesis testing in activation mapping of functional magnetic resonance images of the human brain", In SPIE-Mathematical Imaging: Wavelet Applications in Signal and Image Processing X (invited paper), Vol. 5207, San Diego, pp. 405-416, 2003.

  S. Schupp, A. Elmoataz, M.J. Fadili, D. Bloyet,"PDE Based image segmentation for biomedical applications", In International Conference on Image and Signal Processing, Vol. 3, No. 2, Agadir, pp. 204, 2001.

  S. Schupp, A. Elmoataz, M.J. Fadili, D. Bloyet,"Discrete approach for active contours for biomedical applications", In Scandinavian Conference on Image Analysis (SCIA 01), Bergen, 2001.

  S. Schupp, A. Elmoataz, M.J. Fadili, D. Bloyet,"Fast statistical level sets image segmentation", In Scale-Space01: Third International Conference on Scale-Space and Morphology, Vancouver, pp. 380-288, 2001.

  S. Ruan, B. Moretti, M.J. Fadili, D. Bloyet,"Segmentation of Magnetic Resonance Images using Fuzzy Markov Random Fields", In IEEE International Conference on Image Processing, Thessaloniki, pp. 1051-1054, 2001.

  M.J. Fadili, E.T. Bullmore, M. Brett, "Wavelet methods for characterising mono- and poly-fractal noise structures in shortish time series: An application to functional MRI", In IEEE International Conference on Image Processing, Thessaloniki, pp. 225-228, 2001.

  S. Schupp, A. Elmoataz, M.J. Fadili, P. Herlin, D. Bloyet,"Image segmentation via multiple active contour models and fuzzy clustering with biomedical applications", In ICPR, Vol. 1, Barcelona, pp. 622-625, 2000.

  S. Ruan, M.J. Fadili, J. Xue, D. Bloyet,"Unsupervised segmentation of 3D MR brain images", In Int. Conf. Patten Recognition, Vol. 3, Barcelona, pp. 409-412, 2000.

  S. Ruan, M.J. Fadili, J. Xue, D. Bloyet,"Brain tissue classification based on a mixel model and Markov random fields", In First Int. Conf. On Image and Graphics, Vol. 1, Tianjing, pp. 369-372, 2000.

  M.J. Fadili, S. Ruan, D. Bloyet, B. Mazoyer,"Prototype characterization and Unsupervised Fuzzy Clustering of fMRI time series", In Fifth International Conference on Functional Mapping of the Human Brain (NeuroImage, ed.), Vol. 9, No. 6, Dusseldorf, pp. S30, 1999.

  B. Moretti, S. Ruan, M.J. Fadili, D. Bloyet,"Phantom based segmentation assessment for MRI Images", In IEEE Engineering in Medicine and Biology Society, Hong Kong, pp. 613, 1998.

  M.J. Fadili, S. Ruan, D. Bloyet, B. Mazoyer,"Unsupervised fuzzy clustering analysis of fMRI series", In IEEE Engineering in Medicine and Biology Society, Hong Kong, pp. 696, 1998.

  M.J. Fadili, S. Ruan, B. Mazoyer,"FIAtool: a software for fMRI data analysis and visualization", In Ed. Neuroimage, Vol. 7, No. 4, Montreal, pp. S800, 1998.

  L. Vérard, M.J. Fadili, S. Ruan, D. Bloyet,"3D MRI segmentation of brain structures", In IEEE Engineering in Medicine and Biology Society, Amsterdam, 1996.

Proceedings of National Conferences - Communication nationale avec actes et comite de lecture
  T. Luu, M.J. Fadili, C. Chesneau, "Agrégation à poids exponentiels et estimation penalisée : Inégalités oracles", In 26th GRETSI Symposium on Signal and Image Processing, Juan Les Pins, 2017.

  T. Luu, M.J. Fadili, C. Chesneau, "Agrégation à poids exponentiels: Algorithmes d'échantillonnage", In 26th GRETSI Symposium on Signal and Image Processing, Juan Les Pins, 2017.

  Y. Hafiene, M.J. Fadili, A. Elmoataz, "Le $p$-Laplacien non-local sur graphes: du discret au continu", In 26th GRETSI Symposium on Signal and Image Processing, Juan Les Pins, 2017.

  J. Liang, M.J. Fadili, G. Peyré, "Identification en temps fini et convergence linéaire locale de l'algorithme proximal implicite-explicite inertiel", In 25th GRETSI Symposium on Signal and Image Processing, Lyon, 2015.

  S. Vaiter, G. Peyré, M.J. Fadili, "Robustesse au bruit des régularisations polyhédrales", In 24th GRETSI Symposium on Signal and Image Processing, Brest, 2013.

  M.J. Fadili, G. Peyré, S. Vaiter, C. Deledalle, J. Salmon, "Reconstruction Stable par Régularisation Décomposable Analyse", In 24th GRETSI Symposium on Signal and Image Processing, Brest, 2013.

  A. Woiselle, J.-L. Starck, M.J. Fadili, "Débruitage de données de Poisson par BeamCurvelets 3-D", In 23rd GRETSI Symposium on Signal and Image Processing, Bordeaux, 2011.

  G. Peyré, M.J. Fadili, C. Chesneau, "Parcimonie Adaptative Structurée par Blocs Dyadiques", In 23rd GRETSI Symposium on Signal and Image Processing, Bordeaux, 2011.

  F. Lecellier, S. Jehan-Besson, M.J. Fadili, G. Aubert, M. Revenu, E. Saloux,"Les contours actifs basés région avec a priori de bruit et de forme.", In RITS 2009, 2009.

  G. Peyré, M.J. Fadili, "Algorithmes de premier ordre pour la projection sur une contrainte de variation totale", In 22nd GRETSI Symposium on Signal and Image Processing, Dijon, 2009.

  C. Dossal, G. Peyré, M.J. Fadili, "Une exploration numérique des performances de l'echantillonnage compressé", In 22nd GRETSI Symposium on Signal and Image Processing, Dijon, 2009.

  G. Peyré, M.J. Fadili, J-L. Starck,"Apprentissage de dictionnaires parcimonieux adaptés pour la séparation d'images", In 21st GRETSI Symposium on Signal and Image Processing, Troyes, 2007.

  L. Boubchir, M.J. Fadili, "Modélisation statistique multivariée des images dans le domaine de la transformée de Curvelet", In 20th GRETSI Symposium on Signal and Image Processing, Louvain-la-Neuve, Belgique, pp. 233-236, 2005.

  M.J. Fadili, J. Mathieu, M. Desvignes, "La transformation de Fisz pour l'estimation d'images d'intensité Poissonnienne dans le domaine des ondelettes", In 19th GRETSI Symposium on Signal and Image Processing, Vol. I, Paris, pp. 317-320, 2003.

  M. Desvignes, M.J. Fadili, F. Bataille, "Mesure de netteté par Transformée en ondelettes. Définition et comparaison pour l'autofocus de caméra", In 19th GRETSI Symposium on Signal and Image Processing, Vol. II, Paris, pp. 271-274, 2003.

  L. Boubchir, M.J. Fadili, D. Bloyet, "Le processus alpha-stable pour l'estimation Bayesienne non paramétrique des images dans le domaine des Ondelettes", In Journées d'étude sur les méthodes pour les signaux complexes en traitement d'image 2003, INRIA-Rocquencourt, pp. 105-118, 2003.

  C. Dolabdjian, M.J. Fadili, E.H. Leyva,"Comparaison d'un filtrage numérique à l'aide de la transformée d'ondelettes discrète, mis en oeuvre en temps réel sur un DSP, à un filtrage classique de type P-B", In Congré Interdisciplinaire en Instrumentation, Vol. 2, Paris, pp. 397-404, 2001.

  M.J. Fadili, E.T. Bullmore,"Un modèle de régression linéaire généralisé dans le domaine des ondelettes pour des erreurs de mesure en 1/f", In 18e colloque GRETSI, pp. 405-408, 2001.

  C. Jaggi, S. Ruan, M.J. Fadili, D. Bloyet,"Approche Markovienne pour la segmentation 3D des tissus cérébraux en IRM", In 16e Colloque GRETSI, Grenoble, pp. 327-330, 1997.

  M.J. Fadili, S. Ruan, L. Vérard, C. Jaggi, D. Bloyet,"Extraction et partitionnement de l'encéphale par un modèle de contours actifs", In 16e Colloque GRETSI, Grenoble, pp. 439-442, 1997.

Technical reports - Rapports techniques
  F. Lecellier, M.J. Fadili, S. Jehan-Besson, G. Aubert, M. Revenu, E. Saloux,"Region-based active contours with exponential family observations", Technical report, GREYC, No. 2, 2008.

  J.J. Collet, M.J. Fadili, "Simulation of Gegenbauer Processes using Wavelet Packets", Technical report, GREYC CNRS-ENSICAEN-Univ. de Caen (France) and Queensland University of Technology (Australia), 2005.

  M.J. Fadili, Bo Zhang, J.-L. Starck,"Intensity Estimation Based on the Wavelet Domain Hypothesis Testing", Technical report, GREYC CNRS-ENSICAEN-Univ. de Caen, France, 2004.