85 citations · 122 across the 12 of their papers we have counts for
4 papers · 1 filter
SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction
Gaofeng Chen, Yaoduo Zhang, Li Huang +5
Supervised deep-learning (SDL) techniques with paired training datasets have been widely studied for X-ray computed tomography (CT) image reconstruction. However, due to the diffic…
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…
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity
Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang +9
The elasticity of soft tissues has been widely considered as a characteristic property to differentiate between healthy and vicious tissues and, therefore, motivated several elasti…
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-…