most citedLEARN: Learned Experts' Assessment-based Reconstruction Network for Sparse-data CT

7 citations · 7 across the 2 of their papers we have counts for

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physics.med-ph2019

MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI

Maosong Ran, Wenjun Xia, Yongqiang Huang +6

Compressed sensing magnetic resonance imaging (CS-MRI) is a theoretical framework that can accurately reconstruct images from undersampled k-space data with a much lower sampling r…

physics.med-ph2017★ 7 cited

LEARN: Learned Experts' Assessment-based Reconstruction Network for Sparse-data CT

Hu Chen, Yi Zhang, Yunjin Chen +7

Compressive sensing (CS) has proved effective for tomographic reconstruction from sparsely collected data or under-sampled measurements, which are practically important for few-vie…