Jalal Fadili - RankMe

128 papers A* 1A 1B 6C 2Journal 91Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A plug-and-play approach with fast uncertainty quantification for weak lensing mass mapping. CoRR Hubert Leterme, Andreas Tersenov, Jalal Fadili, Jean-Luc Starck
2026	J	`jnl`	Neutrino Oscillation Parameter Estimation Using Structured Hierarchical Transformers. CoRR Giorgio Morales, Gregory Lehaut, Antonin Vacheret, Frédéric Jurie, Jalal Fadili
2026	J	`jnl`	Satellite Detection and Characterization Using Alternate Transformer Architectures for Spectro-Spatial RF Signal Analysis. IEEE Trans. Aerosp. Electron. Syst. Sidney Besnard, Jalal Fadili, Frédéric Jurie, Steredenn Daumont
2026	J	`jnl`	The Stochastic Ravine Accelerated Gradient Method with General Extrapolation Coefficients. J. Optim. Theory Appl. Hédy Attouch, Jalal Fadili, Vyacheslav Kungurtsev
2025	J	`jnl`	A New Perspective on Precision and Recall for Generative Models. CoRR Benjamin Sykes, Loïc Simon, Julien Rabin, Jalal Fadili
2025	J	`jnl`	An Stochastic Differential Equation Perspective on Stochastic Convex Optimization. Math. Oper. Res. Rodrigo Maulen-Soto, Jalal Fadili, Hédy Attouch
2025	J	`jnl`	Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation. J. Mach. Learn. Res. Michael Sucker, Jalal Fadili, Peter Ochs
2025	J	`jnl`	Quasi-Newton Methods for Monotone Inclusions: Efficient Resolvent Calculus and Primal-Dual Algorithms. SIAM J. Imaging Sci. Shida Wang, Jalal Fadili, Peter Ochs
2025	J	`jnl`	Solution Uniqueness of Convex Optimization Problems via the Radial Cone. J. Optim. Theory Appl. Jalal Fadili, Tran Thai An Nghia, Duy Nhat Phan
2025	J	`jnl`	Stochastic Differential Inclusions and Tikhonov Regularization for Stochastic Non-Smooth Convex Optimization in Hilbert spaces. Open J. Math. Optim. Rodrigo Maulen-Soto, Jalal Fadili, Hédy Attouch
2025	J	`jnl`	Towards Uncertainty Quantification in Generative Model Learning. CoRR Giorgio Morales, Frédéric Jurie, Jalal Fadili
2024	J	`jnl`	Continuous Newton-like Methods Featuring Inertia and Variable Mass. SIAM J. Optim. Camille Castera, Hédy Attouch, Jalal Fadili, Peter Ochs
2024	J	`jnl`	Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. J. Math. Imaging Vis. Nathan Buskulic, Jalal Fadili, Yvain Quéau
2024	J	`jnl`	Generalized Fast Krasnoselskii-Mann Method with Preconditioners. CoRR Radu Ioan Bot, Enis Chenchene, Jalal Fadili
2024	J	`jnl`	Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation. CoRR Michael Sucker, Jalal Fadili, Peter Ochs
2024	J	`jnl`	Low Complexity Regularized Phase Retrieval. CoRR Jean-Jacques Godeme, Jalal Fadili
2024	—	`conf`	Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Trained with Gradient Descent. EUSIPCO Nathan Buskulic, Yvain Quéau, Jalal Fadili
2024	J	`jnl`	Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent. CoRR Nathan Buskulic, Jalal Fadili, Yvain Quéau
2024	J	`jnl`	Stable Phase Retrieval with Mirror Descent. CoRR Jean-Jacques Godeme, Jalal Fadili, Claude Amra, Myriam Zerrad
2023	—	`conf`	A Quasi-Newton Primal-Dual Algorithm with Line Search. SSVM Shida Wang, Jalal Fadili, Peter Ochs
2023	—	`conf`	Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. SSVM Nathan Buskulic, Yvain Quéau, Jalal Fadili
2023	J	`jnl`	Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. CoRR Nathan Buskulic, Yvain Quéau, Jalal Fadili
2023	J	`jnl`	Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. CoRR Nathan Buskulic, Jalal Fadili, Yvain Quéau
2023	J	`jnl`	Discrete-to-Continuum Rates of Convergence for $p$-Laplacian Regularization. CoRR Adrien Weihs, Jalal Fadili, Matthew Thorpe
2023	B	`conf`	Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers. ICIP William Piat, Jalal Fadili, Frédéric Jurie
2023	J	`jnl`	Geometric characterizations for strong minima with applications to nuclear norm minimization problems. CoRR Jalal Fadili, Tran Thai An Nghia, Duy Nhat Phan
2023	J	`jnl`	Guest Editorial JMIV Special Issue SSVM'21. J. Math. Imaging Vis. Jalal Fadili, Abderrahim El Moataz, Loïc Simon, Julien Rabin, Yvain Quéau
2023	J	`jnl`	Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification. SIAM J. Imaging Sci. Imad El Bouchairi, Abderrahim Elmoataz, Jalal Fadili
2023	J	`jnl`	Provable Phase Retrieval with Mirror Descent. SIAM J. Imaging Sci. Jean-Jacques Godeme, Jalal Fadili, Xavier Buet, Myriam Zerrad, Michel Lequime, Claude Amra
2023	—	`conf`	Simpinns: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems. WHISPERS Sidney Besnard, Frédéric Jurie, Jalal Fadili
2022	J	`jnl`	Fast Convergence of Dynamical ADMM via Time Scaling of Damped Inertial Dynamics. J. Optim. Theory Appl. Hédy Attouch, Zaki Chbani, Jalal Fadili, Hassan Riahi
2022	J	`jnl`	First-order optimization algorithms via inertial systems with Hessian driven damping. Math. Program. Hédy Attouch, Zaki Chbani, Jalal Fadili, Hassan Riahi
2022	J	`jnl`	From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective. SIAM J. Optim. Hédy Attouch, Jalal Fadili
2022	J	`jnl`	From the Ravine method to the Nesterov method and vice versa: a dynamical system perspective. CoRR Hédy Attouch, Jalal Fadili
2022	J	`jnl`	Global convergence of model function based Bregman proximal minimization algorithms. J. Glob. Optim. Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs
2022	J	`jnl`	Provable Phase Retrieval with Mirror Descent. CoRR Jean-Jacques Godeme, Jalal Fadili, Xavier Buet, Myriam Zerrad, Michel Lequime, Claude Amra
2022	—	`conf`	Statistical and morphological component separation of foregrounds in convolved HI skymaps. SiPS Yanis Guimard, Ming Jiang, Zhenghao Zhu, Huanyuan Shan, Jalal Fadili, Jean-Luc Starck
2021	J	`jnl`	Limits and consistency of non-local and graph approximations to the Eikonal equation. CoRR Jalal Fadili, Nicolas Forcadel, Thi-Tuyen Nguyen
2021	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Virtual Event, May 16-20, 2021, Proceedings SSVM Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon
2020	J	`jnl`	Continuum limit of p-Laplacian evolution problems on graphs: L CoRR Imad El Bouchairi, Jalal Fadili, Abderrahim Elmoataz
2020	C	`conf`	Discrete p-bilaplacian Operators on Graphs. ICISP Imad El Bouchairi, Abderrahim El Moataz, Jalal Fadili
2020	J	`jnl`	Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization. SIAM J. Optim. Antonio Silveti-Falls, Cesare Molinari, Jalal Fadili
2020	J	`jnl`	Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms. CoRR Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs
2020	J	`jnl`	Guest Editorial: Special Issue in Memory of Mila Nikolova. J. Math. Imaging Vis. Raymond H. Chan, Albert Cohen, Jalal Fadili, Alfred O. Hero III, Gabriele Steidl
2020	J	`jnl`	Learning CHARME models with (deep) neural networks. CoRR José G. Gómez-García, Jalal Fadili, Christophe Chesneau
2020	J	`jnl`	Optimal Reduced Model Algorithms for Data-Based State Estimation. SIAM J. Numer. Anal. Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore, Jalal Fadili, Olga Mula, James A. Nichols
2020	A*	`conf`	Wasserstein Control of Mirror Langevin Monte Carlo. COLT Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra
2020	J	`jnl`	Wasserstein Control of Mirror Langevin Monte Carlo. CoRR Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra
2019	J	`jnl`	Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs. SIAM J. Imaging Sci. Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz
2019	J	`jnl`	Convergence Rates of Forward-Douglas-Rachford Splitting Method. J. Optim. Theory Appl. Cesare Molinari, Jingwei Liang, Jalal Fadili
2019	J	`jnl`	Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2019	A	`conf`	Model Consistency for Learning with Mirror-Stratifiable Regularizers. AISTATS Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré
2019	J	`jnl`	Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms. J. Optim. Theory Appl. Peter Ochs, Jalal Fadili, Thomas Brox
2019	J	`jnl`	On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence. SIAM J. Optim. Stephen Becker, Jalal Fadili, Peter Ochs
2019	J	`jnl`	PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting. J. Multivar. Anal. Duy Tung Luu, Jalal Fadili, Christophe Chesneau
2018	J	`jnl`	Model Consistency of Partly Smooth Regularizers. IEEE Trans. Inf. Theory Samuel Vaiter, Gabriel Peyré, Jalal Fadili
2018	J	`jnl`	Nonlocal p-Laplacian Evolution Problems on Graphs. SIAM J. Numer. Anal. Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz
2018	J	`jnl`	Sensitivity Analysis for Mirror-Stratifiable Convex Functions. SIAM J. Optim. Jalal Fadili, Jérôme Malick, Gabriel Peyré
2018	C	`conf`	The Nonlocal p-Laplacian Evolution Problem on Graphs: The Continuum Limit. ICISP Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz
2017	J	`jnl`	Activity Identification and Local Linear Convergence of Forward-Backward-type Methods. SIAM J. Optim. Jingwei Liang, Jalal Fadili, Gabriel Peyré
2017	J	`jnl`	JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2017	J	`jnl`	Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers. J. Optim. Theory Appl. Jingwei Liang, Jalal Fadili, Gabriel Peyré
2017	J	`jnl`	Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms. CoRR Peter Ochs, Jalal Fadili, Thomas Brox
2017	J	`jnl`	Sensitivity Analysis for Mirror-Stratifiable Convex Functions. CoRR Jalal Fadili, Jérôme Malick, Gabriel Peyré
2016	—	`conf`	A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization. NIPS Jingwei Liang, Jalal Fadili, Gabriel Peyré
2016	J	`jnl`	Convergence rates with inexact non-expansive operators. Math. Program. Jingwei Liang, Jalal Fadili, Gabriel Peyré
2016	—	`conf`	Sparse Support Recovery with Non-smooth Loss Functions. NIPS Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques
2016	J	`jnl`	Sparse Support Recovery with Non-smooth Loss Functions. CoRR Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques
2015	—	`conf`	Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness. SSVM Jingwei Liang, Jalal Fadili, Gabriel Peyré, D. Russell Luke
2015	J	`jnl`	Adaptive estimation of an additive regression function from weakly dependent data. J. Multivar. Anal. Christophe Chesneau, Jalal Fadili, Bertrand Maillot
2015	J	`jnl`	Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2015	J	`jnl`	On Adaptive Wavelet Estimation of a Class of Weighted Densities. Commun. Stat. Simul. Comput. Fabien Navarro, Christophe Chesneau, Jalal Fadili
2014	J	`jnl`	Guest Editorial - JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. Gabriel Peyré, Jalal Fadili, Jean-François Aujol, Laurent D. Cohen
2014	—	`conf`	Local Linear Convergence of Forward-Backward under Partial Smoothness. NIPS Jingwei Liang, Jalal Fadili, Gabriel Peyré
2014	J	`jnl`	Low Complexity Regularization of Linear Inverse Problems. CoRR Samuel Vaiter, Gabriel Peyré, Jalal Fadili
2014	J	`jnl`	Partly Smooth Regularization of Inverse Problems. CoRR Samuel Vaiter, Gabriel Peyré, Jalal Fadili
2014	J	`jnl`	Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
2014	J	`jnl`	Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection. SIAM J. Imaging Sci. Charles-Alban Deledalle, Samuel Vaiter, Jalal Fadili, Gabriel Peyré
2014	J	`jnl`	The Degrees of Freedom of Partly Smooth Regularizers. CoRR Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal
2013	J	`jnl`	A Generalized Forward-Backward Splitting. SIAM J. Imaging Sci. Hugo Raguet, Jalal Fadili, Gabriel Peyré
2013	—	`conf`	Adaptive Parameter Selection for Block Wavelet-Thresholding Deconvolution. ALCOSP Fabien Navarro, Jalal Fadili, Christophe Chesneau
2013	J	`jnl`	Astronomical Image Denoising Using Dictionary Learning CoRR Simon Beckouche, Jean-Luc Starck, Jalal Fadili
2013	J	`jnl`	Model Selection with Piecewise Regular Gauges. CoRR Samuel Vaiter, Mohammad Golbabaee, Jalal Fadili, Gabriel Peyré
2013	J	`jnl`	Robust Polyhedral Regularization CoRR Samuel Vaiter, Gabriel Peyré, Jalal Fadili
2013	J	`jnl`	Robust Sparse Analysis Regularization. IEEE Trans. Inf. Theory Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili
2012	J	`jnl`	Risk estimation for matrix recovery with spectral regularization CoRR Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal
2012	J	`jnl`	The degrees of freedom of the Group Lasso for a General Design CoRR Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal
2012	B	`conf`	Unbiased risk estimation for sparse analysis regularization. ICIP Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal
2012	B	`conf`	Wasserstein active contours. ICIP Gabriel Peyré, Jalal Fadili, Julien Rabin
2011	J	`jnl`	3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform. J. Math. Imaging Vis. Arnaud Woiselle, Jean-Luc Starck, Jalal Fadili
2011	J	`jnl`	Activelets: Wavelets for sparse representation of hemodynamic responses. Signal Process. Ildar Khalidov, Jalal Fadili, François Lazeyras, Dimitri Van De Ville, Michael Unser
2011	—	`conf`	Adaptive structured block sparsity via dyadic partitioning. EUSIPCO Gabriel Peyré, Jalal Fadili, Christophe Chesneau
2011	—	`conf`	Group sparsity with overlapping partition functions. EUSIPCO Gabriel Peyré, Jalal Fadili
2011	J	`jnl`	Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. IEEE J. Sel. Top. Signal Process. Jean-Luc Starck, Jalal Fadili, Michael Elad, Robert D. Nowak, Panagiotis Tsakalides
2011	—	`conf`	Linear inverse problems with various noise models and mixed regularizations. VALUETOOLS François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
2011	J	`jnl`	Robust Sparse Analysis Regularization CoRR Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili
2011	J	`jnl`	Sharp Support Recovery from Noisy Random Measurements by L1 minimization CoRR Charles Dossal, Marie-Line Chabanol, Gabriel Peyré, Jalal Fadili
2011	J	`jnl`	The degrees of freedom of penalized l1 minimization CoRR Charles Dossal, Maher Kachour, Jalal Fadili, Gabriel Peyré, Christophe Chesneau
2011	J	`jnl`	Total Variation Projection With First Order Schemes. IEEE Trans. Image Process. Jalal Fadili, Gabriel Peyré
2010	J	`jnl`	Learning the Morphological Diversity. SIAM J. Imaging Sci. Gabriel Peyré, Jalal Fadili, Jean-Luc Starck
2010	J	`jnl`	Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients. J. Math. Imaging Vis. Sylvain Durand, Jalal Fadili, Mila Nikolova
2010	J	`jnl`	Region-Based Active Contours with Exponential Family Observations. J. Math. Imaging Vis. François Lecellier, Jalal Fadili, Stéphanie Jehan-Besson, Gilles Aubert, Marinette Revenu, Eric Saloux
2009	—	`conf`	Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis. ICA Yassir Moudden, Jérôme Bobin, Jean-Luc Starck, Jalal Fadili
2009	—	`ch.`	Curvelets and Ridgelets. Encyclopedia of Complexity and Systems Science Jalal Fadili, Jean-Luc Starck
2009	J	`jnl`	Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine CoRR Laurent Jacques, David K. Hammond, Jalal Fadili
2009	J	`jnl`	Morphological Diversity and Sparsity for Multichannel Data Restoration. J. Math. Imaging Vis. Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
2009	—	`conf`	Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients. SSVM Sylvain Durand, Jalal Fadili, Mila Nikolova
2009	—	`ch.`	Numerical Issues When Using Wavelets. Encyclopedia of Complexity and Systems Science Jean-Luc Starck, Jalal Fadili
2009	—	`conf`	Optimization of Divergences within the Exponential Family for Image Segmentation. SSVM François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu
2008	J	`jnl`	Region-based active contour with noise and shape priors CoRR François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu, Eric Saloux
2008	B	`conf`	Region-based active contours and sparse representations for texture segmentation. ICPR François Lecellier, Jalal Fadili, Stéphanie Jehan-Besson, Marinette Revenu, Gilles Aubert
2008	J	`jnl`	Statistical region-based active contours with exponential family observations CoRR François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu
2007	—	`conf`	Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences. ICIP (6) David Tschumperlé, Yohan Bentolila, Jean Martinot, Jalal Fadili
2007	J	`jnl`	Morphological Component Analysis: An Adaptive Thresholding Strategy. IEEE Trans. Image Process. Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, David L. Donoho
2007	—	`conf`	Morphological Diversity and Sparsity in Blind Source Separation. ICA Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
2007	—	`conf`	Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging. ICIP (6) Bo Zhang, Jalal Fadili, Jean-Luc Starck, Jean-Christophe Olivo-Marin
2007	J	`jnl`	Reply to comments of A. Achim, E. Kuruoglu, A. Bezerianos and P. Tsakalides on "A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior". Pattern Recognit. Lett. Larbi Boubchir, Jalal Fadili
2007	J	`jnl`	Sparsity and Morphological Diversity in Blind Source Separation. IEEE Trans. Image Process. Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden
2007	J	`jnl`	The Undecimated Wavelet Decomposition and its Reconstruction. IEEE Trans. Image Process. Jean-Luc Starck, Jalal Fadili, Fionn Murtagh
2006	B	`conf`	Region-Based Active Contour with Noise and Shape Priors. ICIP François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu, Eric Saloux
2006	—	`conf`	Statistical Region-Based Active Contours with Exponential Family Observations. ICASSP (2) François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu
2006	—	`conf`	Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms. CVPR (2) David Tschumperlé, Jalal Fadili
2005	—	`conf`	Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior. ICIP (1) Larbi Boubchir, Jalal Fadili
2005	J	`jnl`	Fractional Gaussian noise, functional MRI and Alzheimer's disease. NeuroImage Voichita Maxim, Levent Sendur, Jalal Fadili, John Suckling, Rebecca L. Gould, Robert J. Howard, Ed Bullmore
2005	—	`conf`	Multivariate statistical modeling of images with the curvelet transform. ISSPA Larbi Boubchir, Jalal Fadili
2004	B	`conf`	3d medical image segmentation approach based on multi-label front propagation. ICIP Hua Li, Abderrahim Elmoataz, Jalal Fadili, Su Ruan, Barbara Romaniuk
2002	J	`jnl`	Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images. Comput. Vis. Image Underst. Su Ruan, Bruno Moretti, Jalal Fadili, Daniel Bloyet
2001	—	`conf`	Segmentation of magnetic resonance images using fuzzy Markov random fields. ICIP (3) Su Ruan, Bruno Moretti, Jalal Fadili, Daniel Bloyet