10 citations · 13 across the 3 of their papers we have counts for
3 papers
eess.IV2024
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…
cs.CV2018★ 3 cited
Radon Inversion via Deep Learning
Ji He, Jianhua Ma
Radon transform is widely used in physical and life sciences and one of its major applications is the X-ray computed tomography (X-ray CT), which is significant in modern health ex…
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…