most citedHighly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering

32 citations · 40 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2019★ 8 cited

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

Joseph Y. Cheng, Feiyu Chen, Christopher Sandino +3

Compressed sensing in MRI enables high subsampling factors while maintaining diagnostic image quality. This technique enables shortened scan durations and/or improved image resolut…

cs.CV2018★ 32 cited

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering

Joseph Y. Cheng, Feiyu Chen, Marcus T. Alley +2

To increase the flexibility and scalability of deep neural networks for image reconstruction, a framework is proposed based on bandpass filtering. For many applications, sensing me…