Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xiheng Wang"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 32491-32513 (2024)
The geometry processing of a point cloud 2-manifold (or point cloud surface) heavily depends on the discretization of differential geometry properties such as Gaussian curvature, mean curvature, principal curvature, and principal directions. Most of
Externí odkaz:
https://doaj.org/article/a05c103bcb5842d7a61748d598981659
Autor:
Xiheng, Wang, Zhaoyong, Sun, Huadan, Xue, Taiping, Qu, Sihang, Cheng, Juan, Li, Yatong, Li, Li, Mao, Xiuli, Li, Liang, Zhu, Xiao, Li, Longjing, Zhang, Zhengyu, Jin, Yizhou, Yu
Publikováno v:
Abdominal Radiology. 47:2135-2147
To develop a deep learning model (DLM) to improve readers' interpretation and speed in the differentiation of pancreatic cystic lesions (PCLs) on dual-phase enhanced CT, and a low contrast media dose, external testing set validated the model.Dual-pha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36223fadc5198fe43a0ace2ce7664318
https://doi.org/10.1007/s00261-022-03479-4
https://doi.org/10.1007/s00261-022-03479-4
Publikováno v:
Academic Radiology. 28:S148-S156
To prospectively evaluate the clinical feasibility of the magnetic resonance cholangiopancreatography (MRCP) protocol using both contact-free physiological monitoring (CFPM) and compressed sensing (CS) (CS-CFPM-MRCP) and to compare its performance wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2474609e157a093eb6b22a3be6d8f06
https://doi.org/10.1016/j.acra.2020.12.008
https://doi.org/10.1016/j.acra.2020.12.008
Autor:
Taiping Qu, Xiuli Li, Xiheng Wang, Wenyi Deng, Li Mao, Ming He, Xiao Li, Yun Wang, Zaiyi Liu, Longjiang Zhang, Zhengyu Jin, Huadan Xue, Yizhou Yu
Publikováno v:
Medical Image Analysis. 86:102801
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6be8c27c4b5511854cc7c9c78dc8189
https://doi.org/10.1016/j.media.2023.102801
https://doi.org/10.1016/j.media.2023.102801
Publikováno v:
Academic radiology. 29(10)
To determine the prevalence of diffuse involvement of pancreas and to identify the findings of malignancies using enhancement computed tomography (CT).A total of 1,0249 patients performed enhancement CT in our hospital over 62 months were investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d8735dae5aaa82195e8291e4f00a01f
https://pubmed.ncbi.nlm.nih.gov/35279380
https://pubmed.ncbi.nlm.nih.gov/35279380
Autor:
Taiping, Qu, Xiheng, Wang, Chaowei, Fang, Li, Mao, Juan, Li, Ping, Li, Jinrong, Qu, Xiuli, Li, Huadan, Xue, Yizhou, Yu, Zhengyu, Jin
Publikováno v:
Medical image analysis. 75
The complementation of arterial and venous phases visual information of CTs can help better distinguish the pancreas from its surrounding structures. However, the exploration of cross-phase contextual information is still under research in computer-a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2ea32315ceac9fb9f3c5483bf3cda899
https://pubmed.ncbi.nlm.nih.gov/34700243
https://pubmed.ncbi.nlm.nih.gov/34700243
Autor:
Xiuli Li, Yizhou Yu, Li Mao, Huadan Xue, Xiheng Wang, Chaowei Fang, Juan Li, Zhengyu Jin, Taiping Qu, Ping Li, Jinrong Qu
Publikováno v:
Medical Image Analysis. 75:102232
The complementation of arterial and venous phases visual information of CTs can help better distinguish the pancreas from its surrounding structures. However, the exploration of cross-phase contextual information is still under research in computer-a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba57dc27bd542590088937ab12b5f454
https://doi.org/10.1016/j.media.2021.102232
https://doi.org/10.1016/j.media.2021.102232