10 citations · 11 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 1 cited
A Peer-to-peer Federated Continual Learning Network for Improving CT Imaging from Multiple Institutions
Hao Wang, Ruihong He, Xiaoyu Zhang +3
Deep learning techniques have been widely used in computed tomography (CT) but require large data sets to train networks. Moreover, data sharing among multiple institutions is limi…
eess.IV2019
Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network
Lisha Yao, Sui Li, Manman Zhu +3
Energy-resolving computed tomography (ErCT) has the ability to acquire energy-dependent measurements simultaneously and quantitative material information with improved contrast-to-…
physics.med-ph2017★ 10 cited
Pseudo Dual Energy CT Imaging using Deep Learning Based Framework: Initial Study
Sui Li, Yongbo Wang, Yuting Liao +4
Dual energy computed tomography (DECT) has become of particular interest in clinic recent years. The DECT scan comprises two images, corresponding to two photon attenuation coeffic…