3 citations · 3 across the 3 of their papers we have counts for
6 papers
Rib Suppression in Digital Chest Tomosynthesis
Yihua Sun, Qingsong Yao, Yuanyuan Lyu +4
Digital chest tomosynthesis (DCT) is a technique to produce sectional 3D images of a human chest for pulmonary disease screening, with 2D X-ray projections taken within an extremel…
GAN-based disentanglement learning for chest X-ray rib suppression
Luyi Han, Yuanyuan Lyu, Cheng Peng +1
Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can improve the reliability of pulmonary disease diagnosis. However, previous approaches on generating rib-suppr…
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
Yuanyuan Lyu, Jiajun Fu, Cheng Peng +1
Recently, both supervised and unsupervised deep learning methods have been widely applied on the CT metal artifact reduction (MAR) task. Supervised methods such as Dual Domain Netw…
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography
Yuanyuan Lyu, Wei-An Lin, Haofu Liao +2
Metal artifact reduction (MAR) in computed tomography (CT) is a notoriously challenging task because the artifacts are structured and non-local in the image domain. However, they a…
ADSegNet: Anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation, artifact reduction, and modality translation
Yuanyuan Lyu, Haofu Liao, Heqin Zhu +1
Spinal surgery planning necessitates automatic segmentation of vertebrae in cone-beam computed tomography (CBCT), an intraoperative imaging modality that is widely used in interven…
Gamma band oscillations reflect sensory and affective dimensions of pain
Yuanyuan Lyu, Francesca Zidda, Stefan Radev +5
Pain is a multidimensional process, which can be modulated by emotions, however, the mechanisms underlying this modulation are unknown. We used pictures with different emotional va…