Related references
Note: Only part of the references are listed.Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data
Andreas Kofler et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
A Transfer-Learning Approach for Accelerated MRI Using Deep Neural Networks
Salman Ul Hassan Dar et al.
MAGNETIC RESONANCE IN MEDICINE (2020)
Deep Learning in Ultrasound Imaging
Ruud J. G. van Sloun et al.
PROCEEDINGS OF THE IEEE (2020)
Neural networks-based regularization for large-scale medical image reconstruction
A. Kofler et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
Chen Qin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease
Andreas Hauptmann et al.
MAGNETIC RESONANCE IN MEDICINE (2019)
Unpaired Low-Dose CT Denoising Network Based on Cycle-Consistent Generative Adversarial Network with Prior Image Information
Chao Tang et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2019)
Deep null space learning for inverse problems: convergence analysis and rates
Johannes Schwab et al.
INVERSE PROBLEMS (2019)
Learning a variational network for reconstruction of accelerated MRI data
Kerstin Hammernik et al.
MAGNETIC RESONANCE IN MEDICINE (2018)
Learned Primal-Dual Reconstruction
Jonas Adler et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
Jong Chul Ye et al.
SIAM JOURNAL ON IMAGING SCIENCES (2018)
Deep learning for undersampled MRI reconstruction
Chang Min Hyun et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Python Non-Uniform Fast Fourier Transform (PyNUFFT): An Accelerated Non-Cartesian MRI Package on a Heterogeneous Platform (CPU/GPU)
Jyh-Miin Lin
JOURNAL OF IMAGING (2018)
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Solving ill-posed inverse problems using iterative deep neural networks
Jonas Adler et al.
INVERSE PROBLEMS (2017)
Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population
Anna Fry et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2017)
Variational Networks: Connecting Variational Methods and Deep Learning
Erich Kobler et al.
PATTERN RECOGNITION (GCPR 2017) (2017)
An optimal radial profile order based on the golden ratio for time-resolved MRI
Stefanie Winkelmann et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2007)
Convergence behavior of iterative SENSE reconstruction with non-Cartesian trajectories
P Qu et al.
MAGNETIC RESONANCE IN MEDICINE (2005)
Image quality assessment: From error visibility to structural similarity
Z Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)