Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Xueqian, Xie"'
Autor:
Shaowei Huang, Xueqian Xie, Bo Xu, Zengfeng Pan, Junjie Liang, Meiling Zhang, Simin Pan, Xiaojing Wang, Meng Zhao, Qing Wang, Jinyan Chen, Yanyang Li, Lian Zhou, Xia Luo
Publikováno v:
Journal of Pharmaceutical Analysis, Vol 14, Iss 6, Pp 100940- (2024)
Inhibiting the death receptor 3 (DR3) signaling pathway in group 3 innate lymphoid cells (ILC3s) presents a promising approach for promoting mucosal repair in individuals with ulcerative colitis (UC). Paeoniflorin, a prominent component of Paeonia la
Externí odkaz:
https://doaj.org/article/4c96d98b8fae425e989cb5a4359b2776
Autor:
Joost F. Hop, Anna N. H. Walstra, Gert-Jan Pelgrim, Xueqian Xie, Noor A. Panneman, Niels W. Schurink, Sebastian Faby, Marcel van Straten, Geertruida H. de Bock, Rozemarijn Vliegenthart, Marcel J. W. Greuter
Publikováno v:
Diagnostics, Vol 13, Iss 22, p 3448 (2023)
The aim of this phantom study was to assess the detectability and volumetric accuracy of pulmonary nodules on photon-counting detector CT (PCD-CT) at different low-dose levels compared to conventional energy-integrating detector CT (EID-CT). In-house
Externí odkaz:
https://doaj.org/article/253cd158f2c1404b83e6bac1d4275d20
Autor:
Magdalena Dobrolińska, Niels van der Werf, Marcel Greuter, Beibei Jiang, Riemer Slart, Xueqian Xie
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background Motion artifacts affect the images of coronary calcified plaques. This study utilized convolutional neural networks (CNNs) to classify the motion-contaminated images of moving coronary calcified plaques and to determine the influe
Externí odkaz:
https://doaj.org/article/064333d4837a492fb07743d65e2cb5be
Autor:
Yaping Zhang, Mingqian Liu, Shundong Hu, Yao Shen, Jun Lan, Beibei Jiang, Geertruida H. de Bock, Rozemarijn Vliegenthart, Xu Chen, Xueqian Xie
Publikováno v:
Communications Medicine, Vol 1, Iss 1, Pp 1-12 (2021)
Zhang et al. develop a natural language processing approach, based on the BERT model, to extract linguistic information from chest X-ray radiography reports. The authors establish a 25-label classification system for abnormal findings described in th
Externí odkaz:
https://doaj.org/article/69ad0d38fb1e425cb19989184f9c4102
Autor:
Yan Feng, Zhihan Xu, Lin Zhang, Yaping Zhang, Hao Xu, Xiaozhong Zhuang, Hao Zhang, Xueqian Xie
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors
Externí odkaz:
https://doaj.org/article/5f3e870073034d9fa8b071b721f792f5
Publikováno v:
European Journal of Hybrid Imaging, Vol 5, Iss 1, Pp 1-13 (2021)
Abstract Background Artificial intelligence (AI) technology has been increasingly developed and studied in cardiac imaging. This systematic review summarizes the latest progress of image segmentation, quantification, and the clinical application of A
Externí odkaz:
https://doaj.org/article/4dbd7c49d5bc4f3f88e0542d790c96e3
Autor:
Guixue Liu, Zhihan Xu, Yaping Zhang, Beibei Jiang, Lu Zhang, Lingyun Wang, Geertruida H. de Bock, Rozemarijn Vliegenthart, Xueqian Xie
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundTo establish a machine-learning-derived nomogram based on radiomic features and clinical factors to predict post-surgical 2-year progression-free survival (PFS) in patients with lung adenocarcinoma.MethodsPatients with >2 years post-surgica
Externí odkaz:
https://doaj.org/article/5110f58f0d314bb3a15ed2d29ed1180b
Autor:
Yihui Du, Yingru Zhao, Grigory Sidorenkov, Geertruida H. de Bock, Xiaonan Cui, Yubei Huang, Monique D. Dorrius, Mieneke Rook, Harry J. M. Groen, Marjolein A. Heuvelmans, Rozemarijn Vliegenthart, Kexin Chen, Xueqian Xie, Shiyuan Liu, Matthijs Oudkerk, Zhaoxiang Ye
Publikováno v:
Cancer Biology & Medicine, Vol 16, Iss 1, Pp 181-188 (2019)
Objective European lung cancer screening studies using computed tomography (CT) have shown that a management protocol based on measuring lung nodule volume and volume doubling time (VDT) is more specific for early lung cancer detection than a diamete
Externí odkaz:
https://doaj.org/article/f301103be497454cb28a1c447d572dce
Autor:
Doudou Huo, Daodong Li, Songzhi Xu, Yujie Tang, Xueqian Xie, Dayong Li, Fengming Song, Yali Zhang, Aixue Li, Lijun Sun
Publikováno v:
Biosensors, Vol 12, Iss 1, p 35 (2022)
As one of the pivotal signal molecules, hydrogen peroxide (H2O2) has been demonstrated to play important roles in many physiological processes of plants. Continuous monitoring of H2O2 in vivo could help understand its regulation mechanism more clearl
Externí odkaz:
https://doaj.org/article/2ae4ec7bd26849b38ee2f040818298e6
Autor:
Lu Zhang, Beibei Jiang, Qiang Chen, Lingyun Wang, Keke Zhao, Yaping Zhang, Rozemarijn Vliegenthart, Xueqian Xie
Publikováno v:
European Radiology, 33, 43-53. SPRINGER
Coronary motion artifacts affect the diagnostic accuracy of coronary CT angiography (CCTA), especially in the mid right coronary artery (mRCA). The purpose is to correct CCTA motion artifacts of the mRCA using a GAN (generative adversarial network).W