Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Xiheng Wang"'
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
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
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
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
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
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