Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues

(2020) Florian Knoll et al.   IEEE SIGNAL PROCESSING MAGAZINE

Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks

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

Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms

(2020) Jeffrey A. Fessler   IEEE SIGNAL PROCESSING MAGAZINE

A Transfer‐Learning Approach for Accelerated MRI Using Deep Neural Networks

(2020) Salman Ul Hassan Dar et al.   MAGNETIC RESONANCE IN MEDICINE

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

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

Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks

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

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

(2018) Guang Yang 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 with domain adaptation for accelerated projection-reconstruction MR

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

Assessment of the generalization of learned image reconstruction and the potential for transfer learning

(2018) Florian Knoll et al.   MAGNETIC RESONANCE IN MEDICINE

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

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

Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI

(2018) Mohammad Shahdloo 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

Validation of highly accelerated real-time cardiac cine MRI with radial k-space sampling and compressed sensing in patients at 1.5T and 3T

(2017) Hassan Haji-Valizadeh et al.   MAGNETIC RESONANCE IN MEDICINE

Learning a variational network for reconstruction of accelerated MRI data

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

ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA

(2013) Martin Uecker et al.   MAGNETIC RESONANCE IN MEDICINE

Pushing the limits of in vivo diffusion MRI for the Human Connectome Project

(2013) K. Setsompop et al.   NEUROIMAGE

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

(2013) Kamil Uğurbil et al.   NEUROIMAGE

MR Myocardial Perfusion Imaging

(2013) Otavio R. Coelho-Filho et al.   RADIOLOGY

Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods

(2012) S. Ramani et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Higher Degree Total Variation (HDTV) Regularization for Image Recovery

(2012) Yue Hu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

High-frequency subband compressed sensing MRI using quadruplet sampling

(2012) Kyunghyun Sung et al.   MAGNETIC RESONANCE IN MEDICINE

Nonlinear GRAPPA: A kernel approach to parallel MRI reconstruction

(2011) Yuchou Chang et al.   MAGNETIC RESONANCE IN MEDICINE

Low-dimensional-structure self-learning and thresholding: Regularization beyond compressed sensing for MRI Reconstruction

(2011) Mehmet Akçakaya et al.   MAGNETIC RESONANCE IN MEDICINE

Fast Image Recovery Using Variable Splitting and Constrained Optimization

(2010) Manya V Afonso et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective Study

(2010) Mehmet Akcakaya et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Compressed-Sensing MRI With Random Encoding

(2010) J P Haldar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning

(2010) Saiprasad Ravishankar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space

(2010) Michael Lustig et al.   MAGNETIC RESONANCE IN MEDICINE

Compressed sensing reconstruction for magnetic resonance parameter mapping

(2010) Mariya Doneva et al.   MAGNETIC RESONANCE IN MEDICINE

Second order total generalized variation (TGV) for MRI

(2010) Florian Knoll et al.   MAGNETIC RESONANCE IN MEDICINE

Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI

(2010) Ricardo Otazo et al.   MAGNETIC RESONANCE IN MEDICINE

Highly Undersampled Magnetic Resonance Image Reconstruction via Homotopic $\ell_{0}$-Minimization

(2009) J. Trzasko et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Accelerating SENSE using compressed sensing

(2009) Dong Liang et al.   MAGNETIC RESONANCE IN MEDICINE

Comprehensive quantification of signal-to-noise ratio andg-factor for image-based andk-space-based parallel imaging reconstructions

(2008) Philip M. Robson et al.   MAGNETIC RESONANCE IN MEDICINE

Compressed sensing in dynamic MRI

(2008) Urs Gamper et al.   MAGNETIC RESONANCE IN MEDICINE

k-t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI

(2008) Hong Jung et al.   MAGNETIC RESONANCE IN MEDICINE