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Learnable Empirical Mode Decomposition based on Mathematical Morphology

SIAM journal on imaging sciences, 2022-01, Vol.15 (1), p.23-44

2022

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Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures

SIAM journal on imaging sciences, 2021-01, Vol.14 (4), p.1848-1889

2021

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Perspective Shape from Shading: Ambiguity Analysis and Numerical Approximations

SIAM journal on imaging sciences, 2012-01, Vol.5 (1), p.311-342

2012

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Vessel Segmentation in Medical Imaging Using a Tight-Frame--Based Algorithm

SIAM journal on imaging sciences, 2013-01, Vol.6 (1), p.464-486

2013

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The Little Engine That Could: Regularization by Denoising (RED)

SIAM journal on imaging sciences, 2017-01, Vol.10 (4), p.1804-1844

2017

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Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

SIAM journal on imaging sciences, 2018-01, Vol.11 (2), p.991-1048

2018

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Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium

SIAM journal on imaging sciences, 2018-01, Vol.11 (3), p.2001-2020

2018

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Learning Maximally Monotone Operators for Image Recovery

SIAM journal on imaging sciences, 2021-01, Vol.14 (3), p.1206-1237

2021

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Multiscale Reverse-Time-Migration-Type Imaging Using the Dyadic Parabolic Decomposition of Phase Space

SIAM journal on imaging sciences, 2015-01, Vol.8 (4), p.2383-2411

2015

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Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau

SIAM journal on imaging sciences, 2018-01, Vol.11 (1), p.473-506

2018

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A Wasserstein-Type Distance in the Space of Gaussian Mixture Models

SIAM journal on imaging sciences, 2020-01, Vol.13 (2), p.936-970

2020

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Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning

SIAM journal on imaging sciences, 2018-01, Vol.11 (1), p.643-678

2018

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A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion

SIAM journal on imaging sciences, 2013-01, Vol.6 (3), p.1758-1789

2013

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Fast Alternating Direction Optimization Methods

SIAM journal on imaging sciences, 2014-01, Vol.7 (3), p.1588-1623

2014

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Total Variation Regularization Strategies in Full-Waveform Inversion

SIAM journal on imaging sciences, 2018-01, Vol.11 (1), p.376-406

2018

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Discrete Total Variation: New Definition and Minimization

SIAM journal on imaging sciences, 2017-01, Vol.10 (3), p.1258-1290

Condat, Laurent

2017

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A Smoothed Dual Approach for Variational Wasserstein Problems

SIAM journal on imaging sciences, 2016-01, Vol.9 (1), p.320-343

2016

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Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction

SIAM journal on imaging sciences, 2017-01, Vol.10 (1), p.74-110

2017

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The Split Bregman Method for L1-Regularized Problems

SIAM journal on imaging sciences, 2009-01, Vol.2 (2), p.323-343

2009

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Total Generalized Variation

SIAM journal on imaging sciences, 2010-01, Vol.3 (3), p.492-526

2010

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Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie

SIAM journal on imaging sciences, 2022-06, Vol.15 (2), p.701-737

2022

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Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data

SIAM journal on imaging sciences, 2019-01, Vol.12 (1), p.521-550

2019

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iPiano: Inertial Proximal Algorithm for Nonconvex Optimization

SIAM journal on imaging sciences, 2014-01, Vol.7 (2), p.1388-1419

2014

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Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes

SIAM journal on imaging sciences, 2021-01, Vol.14 (3), p.946-975

2021

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On Learned Operator Correction in Inverse Problems

SIAM journal on imaging sciences, 2021-01, Vol.14 (1), p.92-127

2021

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Learnable Empirical Mode Decomposition based on Mathematical Morphology

Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures

Perspective Shape from Shading: Ambiguity Analysis and Numerical Approximations

Vessel Segmentation in Medical Imaging Using a Tight-Frame--Based Algorithm

The Little Engine That Could: Regularization by Denoising (RED)

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium

Learning Maximally Monotone Operators for Image Recovery

Multiscale Reverse-Time-Migration-Type Imaging Using the Dyadic Parabolic Decomposition of Phase Space

Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau

A Wasserstein-Type Distance in the Space of Gaussian Mixture Models

Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning

A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion

Fast Alternating Direction Optimization Methods

Total Variation Regularization Strategies in Full-Waveform Inversion

Discrete Total Variation: New Definition and Minimization

A Smoothed Dual Approach for Variational Wasserstein Problems

Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction

The Split Bregman Method for L1-Regularized Problems

Total Generalized Variation

Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie

Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data

iPiano: Inertial Proximal Algorithm for Nonconvex Optimization

Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes

On Learned Operator Correction in Inverse Problems

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