Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT
Deep ADMM-Net for compressive sensing MRI
Maximum Likelihood Reconstruction for Emission Tomography
Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT
Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder
Deep convolutional neural networks for accelerated dynamic magnetic resonance imaging
Iterative reconstruction techniques for computed tomography Part 1: Technical principles
Deep Learning Computed Tomography
Deep MR to CT Synthesis using Unpaired Data
Dynamic MRI reconstruction using low rank plus sparse tensor decomposition
An Enhanced Image Reconstruction Tool for Computed Tomography on CPUs
Automatic liver segmentation in MRI images using an iterative watershed algorithm and artificial neural network
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Deep Learning Interior Tomography for Region-of-Interest Reconstruction
LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
Generative Adversarial Networks for MR-CT Deformable Image Registration
HDR image reconstruction from a single exposure using deep CNNs
Channel Splitting Network for Single MR Image Super-Resolution
Exploring Context with Deep Structured Models for Semantic Segmentation
A Probabilistic Approach to Semantic Representation
Bidirectional recurrent neural networks
Visual Analysis of Public Utility Service Problems in a Metropolis
AC: composable asynchronous IO for native languages