15 citations · 20 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 1 cited
A Path Towards Clinical Adaptation of Accelerated MRI
Michael S. Yao, Michael S. Hansen
Accelerated MRI reconstructs images of clinical anatomies from sparsely sampled signal data to reduce patient scan times. While recent works have leveraged deep learning to accompl…
cs.CV2021★ 4 cited
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…
eess.IV2021★ 15 cited
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…