activity
20192024
most citedTowards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack

58 citations · 59 across the 3 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

cs.CV2019

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction

Zhongnian Li, Tao Zhang, Peng Wan +1

Generative Adversarial Networks (GANs) are powerful tools for reconstructing Compressed Sensing Magnetic Resonance Imaging (CS-MRI). However most recent works lack exploration of s…