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pro vyhledávání: '"LYU, Yuanyuan"'
Fluoroscopy is an imaging technique that uses X-ray to obtain a real-time 2D video of the interior of a 3D object, helping surgeons to observe pathological structures and tissue functions especially during intervention. However, it suffers from heavy
Externí odkaz:
http://arxiv.org/abs/2208.14022
Autor:
LYU Yuanyuan
Publikováno v:
Dizhi lixue xuebao, Vol 30, Iss 1, Pp 107-128 (2024)
Objective The Qinghai–Tibet Plateau is rich in salt lake resources, known particularly for the concentration of elements such as boron and lithium, forming many distinctive resource-type salt lakes. Compared with ordinary salt lakes, a notable char
Externí odkaz:
https://doaj.org/article/74549925bc92489fad1e437b4b41af50
Autor:
Sun, Yihua, Yao, Qingsong, Lyu, Yuanyuan, Wang, Jianji, Xiao, Yi, Liao, Hongen, Zhou, S. Kevin
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 extremely limited range of angles. However, under the limited angle scenario,
Externí odkaz:
http://arxiv.org/abs/2203.02772
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-suppressed CXR face challenges in preserving details and eliminating rib re
Externí odkaz:
http://arxiv.org/abs/2110.09134
Computed tomography (CT) reconstruction from X-ray projections acquired within a limited angle range is challenging, especially when the angle range is extremely small. Both analytical and iterative models need more projections for effective modeling
Externí odkaz:
http://arxiv.org/abs/2103.05255
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 Network (Du-DoNet) work well on simulation data; however, their performanc
Externí odkaz:
http://arxiv.org/abs/2103.04552
Spinal surgery planning necessitates automatic segmentation of vertebrae in cone-beam computed tomography (CBCT), an intraoperative imaging modality that is widely used in intervention. However, CBCT images are of low-quality and artifact-laden due t
Externí odkaz:
http://arxiv.org/abs/2001.00339
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 are inherently local in the sinogram domain. Thus, one possible approac
Externí odkaz:
http://arxiv.org/abs/2001.00340
Akademický článek
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Autor:
Lyu, Yuanyuan, Zidda, Francesca, Radev, Stefan, Liu, Hongcai, Guo, Xiaoli, Tong, Shanbao, Flor, Herta, Andoh, Jamila
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 valence (negative, positive, neutral) as primes and applied electrical p
Externí odkaz:
http://arxiv.org/abs/1902.05899