15 citations · 20 across the 5 of their papers we have counts for
5 papers
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models
Ruiyang Zhao, Xi Peng, Varun A. Kelkar +2
We present a novel method that integrates subspace modeling with an adaptive generative image prior for high-dimensional MR image reconstruction. The subspace model imposes an expl…
Data Adaptive Regularization for Abdominal Quantitative Susceptibility Mapping
Julia V. Velikina, Ruiyang Zhao, Collin J. Buelo +3
Purpose: To improve repeatability and reproducibility across acquisition parameters and reduce bias in quantitative susceptibility mapping (QSM) of the liver, through development o…
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction
Ruiyang Zhao, Zhao He, Tao Wang +8
Interventional magnetic resonance imaging (i-MRI) for surgical guidance could help visualize the interventional process such as deep brain stimulation (DBS), improving the surgery…
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction
Ruiyang Zhao, Yuxin Zhang, Burhaneddin Yaman +2
Deep learning techniques have emerged as a promising approach to highly accelerated MRI. However, recent reconstruction challenges have shown several drawbacks in current deep lear…
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang +7
Improving speed and image quality of Magnetic Resonance Imaging (MRI) via novel reconstruction approaches remains one of the highest impact applications for deep learning in medica…