Zobrazeno 1 - 10
of 433
pro vyhledávání: '"Jin, Lv"'
Autor:
Zhong-Yan Ma, Hai-lin Zhang, Fa-jin Lv, Wei Zhao, Dan Han, Li-chang Lei, Qin Song, Wei-wei Jing, Hui Duan, Shao-Lei Kang
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background This study aims to assess the performance of an established an AI algorithm trained on conventional polychromatic computed tomography (CT) images (CPIs) to detect pulmonary ground-glass nodules (GGNs) on virtual monochromatic imag
Externí odkaz:
https://doaj.org/article/2fcc9dc177544c45b111a56c9a4cd86f
Autor:
Anqi Shi, Ruilin Guan, Jin Lv, Zifan Niu, Wenxia Zhang, Shiyan Wang, Xiuyun Zhang, Bing Wang, Xianghong Niu
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract The interlayer twist angle endows a new degree of freedom to manipulate the spatially separated interlayer excitons in van der Waals (vdWs) heterostructures. Herein, we find that the band-edge Γ-Γ interlayer excitation directly forms inter
Externí odkaz:
https://doaj.org/article/6b0ef3e08ea24bc2ad9a3279016de83b
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 8, Pp 1445-1458 (2024)
Abstract Aiming to address the challenge where existing methods struggle to predict accurate disparities for imperfectly rectified stereo images, and that supervised training requires a considerable amount of ground truth, a self‐supervised binocul
Externí odkaz:
https://doaj.org/article/3948519a1acd487c9223feacd52fb901
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Due to the low permeability characteristics of the deep gas-containing coal seam, the conventional prevention and control measures that cannot solve the problems of gas outbursts are unsatisfactory for the prevention and control of the coal
Externí odkaz:
https://doaj.org/article/f144d3f8ada1437d82c123865270ee03
Autor:
Quan-Hao He, Jia-Jun Feng, Ling-Cheng Wu, Yun Wang, Xuan Zhang, Qing Jiang, Qi-Yuan Zeng, Si-Wen Yin, Wei-Yang He, Fa-Jin Lv, Ming-Zhao Xiao
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To develop an interactive, non-invasive artificial intelligence (AI) system for malignancy risk prediction in cystic renal lesions (CRLs). Methods In this retrospective, multicenter diagnostic study, we evaluated 715 patients. An
Externí odkaz:
https://doaj.org/article/d0609d2e7454451891ff894bf1702143
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Purpose To investigate the computed tomography (CT) characteristics of air-containing space and its specific patterns in neoplastic and non-neoplastic ground glass nodules (GGNs) for clarifying their significance in differential diagnosis. M
Externí odkaz:
https://doaj.org/article/55bc1d6223cf47e4ae14be281bdc1391
Publikováno v:
IEEE Access, Vol 12, Pp 167934-167943 (2024)
Self-supervised monocular depth estimation is a promising research area due to its ability to train models without relying on expensive and difficult-to-obtain ground truth depth labels. In this domain, models often employ Convolutional Neural Networ
Externí odkaz:
https://doaj.org/article/ab95fce7edca41bfaf9312c0daf5e727
Publikováno v:
ACS Omega, Vol 9, Iss 1, Pp 1389-1397 (2023)
Externí odkaz:
https://doaj.org/article/7f84ba41e805436496f90f8da39bb878
Autor:
Cheng-cai Lai, Yin-dan Yao, Xia Li, Ao-fei Liu, Chen Li, Yun-e Liu, Chang-chun Jiang, Ying-ying Zhang, Min Jin, Jin Lv, Wei-jian Jiang
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
Background and objectiveFutile recanalization (FR) is defined as patients with acute ischemic stroke (AIS) due to large vessel occlusion who still exhibits functional dependence although undergoing successful mechanical thrombectomy (MT). We aimed to
Externí odkaz:
https://doaj.org/article/0ddadfad93a2444580811931f37db010
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
Vericiguat, the newest soluble guanylate cyclase (sGC) drug, is potentially beneficial in treating heart failure (HF). However, most studies have only confirmed the significant impact of sGC in patients with reduced left ventricular ejection fraction
Externí odkaz:
https://doaj.org/article/c1ff2fc4fa6549b58a2251f5636621a9