Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data

Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks

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

A dual-domain deep lattice network for rapid MRI reconstruction

(2020) Liyan Sun et al.   NEUROCOMPUTING

Single patient convolutional neural networks for real-time MR reconstruction: coherent low-resolution versus incoherent undersampling

(2020) Bryson Dietz et al.   PHYSICS IN MEDICINE AND BIOLOGY

Reference-Driven Compressed Sensing MR Image Reconstruction Using Deep Convolutional Neural Networks without Pre-Training

(2020) Di Zhao et al.   SENSORS

Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets

(2020) Zaccharie Ramzi et al.   Applied Sciences-Basel

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

(2020) Shanshan Wang et al.   MAGNETIC RESONANCE IMAGING

Deep complex convolutional network for fast reconstruction of 3D late gadolinium enhancement cardiac MRI

(2020) Hossam El‐Rewaidy et al.   NMR IN BIOMEDICINE

Deep learning for biomedical image reconstruction: a survey

(2020) Hanene Ben Yedder et al.   ARTIFICIAL INTELLIGENCE REVIEW

Deep neural network inspired by iterative shrinkage-thresholding algorithm with data consistency (NISTAD) for fast Undersampled MRI reconstruction

(2020) Wenyuan Qiu et al.   MAGNETIC RESONANCE IMAGING

Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI

(2020) Evan M. Masutani et al.   RADIOLOGY

Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction

(2020) Eunju Cha et al.   IEEE Journal of Selected Topics in Signal Processing

Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networks

(2019) Yohan Jun et al.   MAGNETIC RESONANCE IN MEDICINE

Dynamic MRI using model-based deep learning and SToRM priors: MoDL-SToRM

(2019) Sampurna Biswas et al.   MAGNETIC RESONANCE IN MEDICINE

Incorporating prior knowledge via volumetric deep residual network to optimize the reconstruction of sparsely sampled MRI

(2019) Yan Wu et al.   MAGNETIC RESONANCE IMAGING

Parallel Imaging and Convolutional Neural Network Combined Fast MR Image Reconstruction: Applications in Low‐Latency Accelerated Real‐Time Imaging

(2019) Ziwu Zhou et al.   MEDICAL PHYSICS

Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network

(2019) Jinglong Du et al.   NEUROCOMPUTING

Self-attention convolutional neural network for improved MR image reconstruction

(2019) Yan Wu et al.   INFORMATION SCIENCES

Fast and accurate reconstruction of human lung gas MRI with deep learning

(2019) Caohui Duan et al.   MAGNETIC RESONANCE IN MEDICINE

SANTIS: Sampling‐Augmented Neural neTwork with Incoherent Structure for MR image reconstruction

(2019) Fang Liu et al.   MAGNETIC RESONANCE IN MEDICINE

Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning

(2019) Defu Qiu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Undersampled MR image reconstruction using an enhanced recursive residual network

(2019) Lijun Bao et al.   JOURNAL OF MAGNETIC RESONANCE

Highly undersampled magnetic resonance imaging reconstruction using autoencoding priors

(2019) Qiegen Liu et al.   MAGNETIC RESONANCE IN MEDICINE

MR image reconstruction using deep learning: evaluation of network structure and loss functions

(2019) Vahid Ghodrati et al.   Quantitative Imaging in Medicine and Surgery

High‐performance dynamic magnetic resonance image reconstruction and synthesis employing deep feature learning convolutional networks

(2019) Pandia Rajan Jeyaraj et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory

(2019) Xuesong Li et al.   NEUROCOMPUTING

A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction

(2019) Liyan Sun et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

${k}$ -Space Deep Learning for Accelerated MRI

(2019) Yoseo Han et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Minimal Linear Networks for Magnetic Resonance Image Reconstruction

(2019) Gilad Liberman et al.   Scientific Reports

Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution

(2019) Xuetong Xue et al.   IEEE Journal of Biomedical and Health Informatics

Compressed sensing MR image reconstruction via a deep frequency-division network

(2019) Jiulou Zhang et al.   NEUROCOMPUTING

Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks

(2018) Dongwook Lee et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging

(2018) Shanshan Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

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

Learned Primal-Dual Reconstruction

(2018) Jonas Adler et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

(2018) Tran Minh Quan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

(2018) Jo Schlemper et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI

(2018) Enhao Gong et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep learning with domain adaptation for accelerated projection-reconstruction MR

(2018) Yoseob Han et al.   MAGNETIC RESONANCE IN MEDICINE

KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images

(2018) Taejoon Eo et al.   MAGNETIC RESONANCE IN MEDICINE

Single-shot T2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network

(2018) Congbo Cai et al.   MAGNETIC RESONANCE IN MEDICINE

Fusing multi-scale information in convolution network for MR image super-resolution reconstruction

(2018) Chang Liu et al.   Biomedical Engineering Online

Deep Generative Adversarial Neural Networks for Compressive Sensing (GANCS) MRI

(2018) Morteza Mardani et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

MoDL: Model Based Deep Learning Architecture for Inverse Problems

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

Learning deconvolutional deep neural network for high resolution medical image reconstruction

(2018) Hui Liu et al.   INFORMATION SCIENCES

Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging

(2018) Mehmet Akçakaya et al.   MAGNETIC RESONANCE IN MEDICINE

Image reconstruction by domain-transform manifold learning

(2018) Bo Zhu et al.   NATURE

Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks

(2018) Feiyu Chen et al.   RADIOLOGY

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction

(2018) Lei Xiang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

MR Image Reconstruction Using Deep Density Priors

(2018) Kerem C. Tezcan 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

A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI

(2017) Ukash Nakarmi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Solving ill-posed inverse problems using iterative deep neural networks

(2017) Jonas Adler et al.   INVERSE PROBLEMS

Deep Learning in Medical Imaging: General Overview

(2017) June-Goo Lee et al.   KOREAN JOURNAL OF RADIOLOGY

Learning a variational network for reconstruction of accelerated MRI data

(2017) Kerstin Hammernik et al.   MAGNETIC RESONANCE IN MEDICINE

Sparse Parallel MRI Based on Accelerated Operator Splitting Schemes

(2016) Nian Cai et al.   Computational and Mathematical Methods in Medicine

Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM)

(2016) Sunrita Poddar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

LORAKS makes better SENSE: Phase-constrained partial fourier SENSE reconstruction without phase calibration

(2016) Tae Hyung Kim et al.   MAGNETIC RESONANCE IN MEDICINE

Iterative feature refinement for accurate undersampled MR image reconstruction

(2016) Shanshan Wang et al.   PHYSICS IN MEDICINE AND BIOLOGY

STEP: Self-supporting tailored k-space estimation for parallel imaging reconstruction

(2015) Zechen Zhou et al.   MAGNETIC RESONANCE IN MEDICINE

P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging data

(2015) Justin P. Haldar et al.   MAGNETIC RESONANCE IN MEDICINE

Deep learning

(2015) Yann LeCun et al.   NATURE

Calibrationless parallel imaging reconstruction based on structured low-rank matrix completion

(2013) Peter J. Shin et al.   MAGNETIC RESONANCE IN MEDICINE

Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models

(2011) Jiao Wu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Manifold learning for image-based breathing gating in ultrasound and MRI

(2011) Christian Wachinger et al.   MEDICAL IMAGE ANALYSIS

A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging☆

(2010) Lotfi Chaâri et al.   MEDICAL IMAGE ANALYSIS