Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Deep learning for undersampled MRI reconstruction
Accelerating magnetic resonance imaging via deep learning
Generative Adversarial Networks for Noise Reduction in Low-Dose CT
Deep ADMM-Net for compressive sensing MRI
Learning iterative image reconstruction
Classification of MRI data using deep learning and Gaussian process-based model selection
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography
Patch-based nonlocal dynamic MRI reconstruction with low-rank prior
Manifold Learning of Brain MRIs by Deep Learning
Reduction of Gibbs artifacts in magnetic resonance imaging based on Convolutional Neural Network
Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging utilizing Deep Learning
Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder
Brain MRI super-resolution using deep 3D convolutional networks
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems
Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning
Brain MRI super-resolution using 3D generative adversarial networks
Deep MR to CT Synthesis using Unpaired Data
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
Deep convolutional neural networks for accelerated dynamic magnetic resonance imaging
HSV-2 Vaccine: Current Status and Insight into Factors for Developing an Efficient Vaccine
Context Traits Dynamic Behaviour Adaptation Through Run-Time Trait Recomposition
SENSE: Sensitivity encoding for fast MRI
Skeleton-Based Abnormal Gait Detection
One-Shot Instance Segmentation