Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Qianjun Jia"'
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 10, Pp 4414-4428 (2024)
Abstract As China's demand for imported oil continues to grow, large‐scale oil storage facilities have become increasingly important. Currently, China primarily uses underground salt cavern spaces and newly excavated underground water‐sealed cave
Externí odkaz:
https://doaj.org/article/1a0272b48558437fb644f5339478043b
Publikováno v:
Water, Vol 16, Iss 12, p 1723 (2024)
Water-soluble mining was invariably associated with surface subsidence, which in some cases escalated to the movement, deformation, and even collapse of the overlying rock layers, triggering grave subsidence calamities. The caprock of the salt-bearin
Externí odkaz:
https://doaj.org/article/03a87844181c4cc2a78ef4a48b065d4f
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
BackgroundThe relationship between the optical flow ratio (OFR) and clinical outcomes in patients with coronary artery disease (CAD) after percutaneous coronary stent implantation (PCI) remains unknown.ObjectiveTo examine the correlation between post
Externí odkaz:
https://doaj.org/article/b85d9f3f28ac4db6beaa11e743a873e7
Autor:
Junqing Yang, Yuming Huang, Xiaoshan Li, Qianjun Jia, Huiliang Deng, Nianjin Xie, Meiping Huang, Hongwen Fei
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
ObjectiveThe study aimed to investigate the diagnostic accuracy of Murray law–based quantitative flow ratio (μQFR) from a single angiographic view in patients with abnormal cardiac structure, left ventricular diastolic dysfunction, and valvular re
Externí odkaz:
https://doaj.org/article/e31e313f63814d0780349dd589f20e91
Autor:
Yutian Chen, Wen Xie, Jiawei Zhang, Hailong Qiu, Dewen Zeng, Yiyu Shi, Haiyun Yuan, Jian Zhuang, Qianjun Jia, Yanchun Zhang, Yuhao Dong, Meiping Huang, Xiaowei Xu
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Coronary artery disease (CAD) is the most common cause of death globally, and its diagnosis is usually based on manual myocardial (MYO) segmentation of MRI sequences. As manual segmentation is tedious, time-consuming, and with low replicability, auto
Externí odkaz:
https://doaj.org/article/c4d07f45fcc84da38307eed106830aef
Autor:
Jiawei Zhang, Yanchun Zhang, Hailong Qiu, Wen Xie, Zeyang Yao, Haiyun Yuan, Qianjun Jia, Tianchen Wang, Yiyu Shi, Meiping Huang, Jian Zhuang, Xiaowei Xu
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Retinal vessel segmentation plays an important role in the diagnosis of eye-related diseases and biomarkers discovery. Existing works perform multi-scale feature aggregation in an inter-layer manner, namely inter-layer feature aggregation. However, s
Externí odkaz:
https://doaj.org/article/853f31a7b54245a8a49f55929c865610
Autor:
Zeyang Yao, Wen Xie, Jiawei Zhang, Yuhao Dong, Hailong Qiu, Haiyun Yuan, Qianjun Jia, Tianchen Wang, Yiyi Shi, Jian Zhuang, Lifeng Que, Xiaowei Xu, Meiping Huang
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Type-B Aortic Dissection (TBAD) is one of the most serious cardiovascular events characterized by a growing yearly incidence, and the severity of disease prognosis. Currently, computed tomography angiography (CTA) has been widely adopted for the diag
Externí odkaz:
https://doaj.org/article/85b3ba4a623b4915a6fe50769fdc07e9
AI-CHD: An AI-Based Framework for Cost-Effective Surgical Telementoring of Congenital Heart Disease.
Autor:
XIAOWEI XU, HAILONG QIU, QIANJUN JIA, YUHAO DONG, ZEYANG YAO, WEN XIE, HUIMING GUO, HAIYUN YUAN, JIAN ZHUANG, MEIPING HUANG, YIYU SHI
Publikováno v:
Communications of the ACM; Dec2021, Vol. 64 Issue 12, p66-74, 9p, 5 Color Photographs, 1 Diagram, 1 Chart
Autor:
Zeyang Yao, Hailong Qiu, Huiming Guo, Wen Xie, Meiping Huang, Haiyun Yuan, Yuhao Dong, Qianjun Jia, Xiaowei Xu, Yiyu Shi, Jian Zhuang
Publikováno v:
Communications of the ACM. 64:66-74
3D heart modeling and AI bring new cardiac surgery to remote and less-developed regions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15576ba0b9c98100fd28432bba2e95b0
https://doi.org/10.1145/3450409
https://doi.org/10.1145/3450409
Autor:
Lifeng Que, Hui Liu, Weiqi Chen, Qianjun Jia, Jian Zhuang, Jinglei Li, Yue Xi, Yuhao Dong, Meiping Huang
Publikováno v:
European Radiology. 32:355-367
To construct models for predicting reintervention after thoracic endovascular aortic repair (TEVAR) of Stanford type B aortic dissection (TBAD). A total of 192 TBAD patients who underwent TEVAR were included; 68 (35.4%) had indications for reinterven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af33c5a88f1290259bf0afa8188fb81c
https://doi.org/10.1007/s00330-021-07849-2
https://doi.org/10.1007/s00330-021-07849-2