Deep learning methods for solving linear inverse problems: Research directions and paradigms

Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks

(2020) Dong Liang et al.   IEEE SIGNAL PROCESSING MAGAZINE

Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning

(2020) Vanika Singhal et al.   NEUROCOMPUTING

Multi-scale Cross-path Concatenation Residual Network for Poisson Denoising

(2019) Qiusheng Lian et al.   IET Image Processing

A Learning-Based Framework for Quantized Compressed Sensing

(2019) Rabeeh Karimi Mahabadi et al.   IEEE SIGNAL PROCESSING LETTERS

Trainable ISTA for Sparse Signal Recovery

(2019) Daisuke Ito et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Solving inverse problems using data-driven models

(2019) Simon Arridge et al.   ACTA NUMERICA

Remote Sensing Image Super-Resolution Using Sparse Representation and Coupled Sparse Autoencoder

(2019) Zhenfeng Shao et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A 3-D Atrous Convolution Neural Network for Hyperspectral Image Denoising

(2019) Wei Liu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Fast Beam Alignment for Millimeter Wave Communications: A Sparse Encoding and Phaseless Decoding Approach

(2019) Xingjian Li et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

One Pixel Attack for Fooling Deep Neural Networks

(2019) Jiawei Su et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Nonconvex Robust Low-Rank Tensor Reconstruction via an Empirical Bayes Method

(2019) Wei Chen et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information

(2019) Evaggelia Tsiligianni et al.   IEEE SIGNAL PROCESSING LETTERS

CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

(2019) Chenyu You et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning for Single Image Super-Resolution: A Brief Review

(2019) Wenming Yang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound

(2019) Oren Solomon et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

(2018) Alice Lucas et al.   IEEE SIGNAL PROCESSING MAGAZINE

Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges

(2018) Yu Cheng et al.   IEEE SIGNAL PROCESSING MAGAZINE

A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution

(2018) Juan Mario Haut et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution

(2018) Yunlong Wang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

(2018) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

(2018) Qingsong Yang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

MPCA SGD - A method for distributed training of deep learning models on Spark

(2018) Matthias Langer et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Video Super-Resolution via Bidirectional Recurrent Convolutional Networks

(2018) Yan Huang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models

(2018) Linxiao Yang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm

(2018) Maher Al-Shoukairi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces

(2018) Gen Li et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Nonconvex Sparse Logistic Regression With Weakly Convex Regularization

(2018) Xinyue Shen et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Millimeter Wave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures

(2018) Xingjian Li et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Matrix completion by deep matrix factorization

(2018) Jicong Fan et al.   NEURAL NETWORKS

Learning a discriminative dictionary for classification with outliers

(2018) Jiaming Qi et al.   SIGNAL PROCESSING

Tensor-Factorized Neural Networks

(2018) Jen-Tzung Chien et al.   IEEE Transactions on Neural Networks and Learning Systems

Blind Denoising Autoencoder

(2018) Angshul Majumdar   IEEE Transactions on Neural Networks and Learning Systems

Marginal Stacked Autoencoder With Adaptively-Spatial Regularization for Hyperspectral Image Classification

(2018) Jie Feng et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

(2018) Qiangqiang Yuan et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

HSI-DeNet: Hyperspectral Image Restoration via Convolutional Neural Network

(2018)   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising

(2018) Bihan Wen et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

(2018)   IEEE TRANSACTIONS ON MULTIMEDIA

Simultaneously Sparse and Low-Rank Matrix Reconstruction via Nonconvex and Nonseparable Regularization

(2018) Wei Chen   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA

(2018) Ali Zare et al.   PROCEEDINGS OF THE IEEE

Denoising Adversarial Autoencoders

(2018) Antonia Creswell et al.   IEEE Transactions on Neural Networks and Learning Systems

Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse-autoencoder-based deep neural network

(2018) Maqsood Hussain Shah et al.   IET Communications

Block-sparsity recovery via recurrent neural network

(2018) Chengcheng Lyu et al.   SIGNAL PROCESSING

Video Super-Resolution Using Non-Simultaneous Fully Recurrent Convolutional Network

(2018) Dingyi Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Multi-Memory Convolutional Neural Network for Video Super-Resolution

(2018) Zhongyuan Wang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

PET Image Reconstruction Using Deep Image Prior

(2018) Kuang Gong et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing

(2018) Yan Yang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification

(2017) Xiangrong Zhang et al.   IEEE Geoscience and Remote Sensing Letters

Time-Varying Graph Signal Reconstruction

(2017) Kai Qiu et al.   IEEE Journal of Selected Topics in Signal Processing

Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems

(2017) Zhou Zhou et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Automatic Modulation Classification Using Deep Learning Based on Sparse Autoencoders With Nonnegativity Constraints

(2017) Afan Ali et al.   IEEE SIGNAL PROCESSING LETTERS

Simultaneous Sparse Bayesian Learning With Partially Shared Supports

(2017) Wei Chen   IEEE SIGNAL PROCESSING LETTERS

Convolutional Neural Networks for Inverse Problems in Imaging: A Review

(2017) Michael T. McCann et al.   IEEE SIGNAL PROCESSING MAGAZINE

Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis

(2017) Tong Qiao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization

(2017) Xiudong Wang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

(2017) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Generative Adversarial Networks for Noise Reduction in Low-Dose CT

(2017) Jelmer M. Wolterink et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

(2017) Yunjin Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

AMP-Inspired Deep Networks for Sparse Linear Inverse Problems

(2017) Mark Borgerding et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing

(2017) Xin Ding et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

RODEO: Robust DE-aliasing autoencOder for real-time medical image reconstruction

(2017) Janki Mehta et al.   PATTERN RECOGNITION

Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks

(2017) Jian Cheng et al.   IEEE Transactions on Neural Networks and Learning Systems

Coupled Deep Autoencoder for Single Image Super-Resolution

(2017) Kun Zeng et al.   IEEE Transactions on Cybernetics

Robust Single Image Super-Resolution via Deep Networks With Sparse Prior

(2016) Ding Liu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

From Denoising to Compressed Sensing

(2016) Christopher A. Metzler et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a Riemannian Manifold Approach

(2016) Maximilian Baust et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Image Super-Resolution Using Deep Convolutional Networks

(2016) Chao Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Cost-Aware Activity Scheduling for Compressive Sleeping Wireless Sensor Networks

(2016) Wei Chen et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Simultaneous Bayesian Sparse Approximation With Structured Sparse Models

(2016) Wei Chen et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Distributed Compressive Sensing: A Deep Learning Approach

(2016) Hamid Palangi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Super-Resolution Compressed Sensing for Line Spectral Estimation: An Iterative Reweighted Approach

(2016) Jun Fang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks

(2016) Wei Chen et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems

(2016) Wei Chen et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

A Deep Learning Framework of Quantized Compressed Sensing for Wireless Neural Recording

(2016) Biao Sun et al.   IEEE Access

Deep Dictionary Learning

(2016) Snigdha Tariyal et al.   IEEE Access

High-Resolution SAR Image Classification via Deep Convolutional Autoencoders

(2015) Jie Geng et al.   IEEE Geoscience and Remote Sensing Letters

Enhancing Image Denoising by Controlling Noise Incursion in Learned Dictionaries

(2015) Sujit Kumar Sahoo et al.   IEEE SIGNAL PROCESSING LETTERS

Dictionary Design for Distributed Compressive Sensing

(2015) Wei Chen et al.   IEEE SIGNAL PROCESSING LETTERS

Dictionary Pair Learning on Grassmann Manifolds for Image Denoising

(2015) Xianhua Zeng et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Conditioning of Random Block Subdictionaries With Applications to Block-Sparse Recovery and Regression

(2015) Waheed U. Bajwa et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Learning Efficient Sparse and Low Rank Models

(2015) P. Sprechmann et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals

(2015) Jun Fang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Can a Single Image Denoising Neural Network Handle All Levels of Gaussian Noise?

(2014) Yi-Qing Wang et al.   IEEE SIGNAL PROCESSING LETTERS

Forest Sparsity for Multi-Channel Compressive Sensing

(2014)   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization

(2014) Po-Yu Chen et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Learning Doubly Sparse Transforms for Images

(2013) Saiprasad Ravishankar et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Dirty Model for Multiple Sparse Regression

(2013) Ali Jalali et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Nonlocally Centralized Sparse Representation for Image Restoration

(2012) Weisheng Dong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Tensor Completion for Estimating Missing Values in Visual Data

(2012) Ji Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Dictionary Learning

(2011) Ivana Tosic et al.   IEEE SIGNAL PROCESSING MAGAZINE

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM

Image Super-Resolution Via Sparse Representation

(2010) Jianchao Yang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Model-Based Compressive Sensing

(2010) Richard G. Baraniuk et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Iterative hard thresholding for compressed sensing

(2009) Thomas Blumensath et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Compressed Sensing With Quantized Measurements

(2009) A. Zymnis et al.   IEEE SIGNAL PROCESSING LETTERS

Message-passing algorithms for compressed sensing

(2009) David L. Donoho et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The restricted isometry property and its implications for compressed sensing

(2008) Emmanuel J. Candès   COMPTES RENDUS MATHEMATIQUE

Definitions and examples of inverse and ill-posed problems

(2008) S. I. Kabanikhin   Journal of Inverse and Ill-Posed Problems