Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Xiaozhen Xie"'
Publikováno v:
Journal of Interventional Medicine, Vol 4, Iss 3, Pp 143-148 (2021)
Objective: To investigate the value of application of low-dose and optimized length CT scan on puncture results, complications and patients’ radiation dosage during CT-guided percutaneous biopsy of pulmonary nodules (PTNB). Methods: A total of 231
Externí odkaz:
https://doaj.org/article/2eed7701df7b43a7bed166388c683659
Publikováno v:
IEEE Access, Vol 8, Pp 50190-50208 (2020)
Hyperspectral images (HSIs) are usually corrupted by various noises during the image acquisition process, e.g., Gaussian noise, impulse noise, stripes, deadlines and many others. Such complex noise severely degrades the data quality, reduces the inte
Externí odkaz:
https://doaj.org/article/683f146e78444bb79cbf4a86b30228e9
Autor:
Xiaozhen Xie, Costanza T. Viouonu
Publikováno v:
Boundary Value Problems, Vol 2020, Iss 1, Pp 1-1 (2020)
The Editors-in-Chief have retracted this article [1] because it significantly overlaps with an article by different authors [2] that was simultaneously under consideration at another journal. The article also showed evidence of authorship manipulatio
Externí odkaz:
https://doaj.org/article/a2ee096b98f74b038c9687eff3df8f97
Autor:
Qiandong Zhu, Xiaozhen Xie
Publikováno v:
Journal of Librarianship and Information Science. 55:371-382
This research aims to investigate users’ space requirements, facilities, equipment, environmental needs, management services, and food services in immersive learning space. Descriptive statistical analysis is used to study the degree of users’ de
Publikováno v:
Journal of Interventional Medicine, Vol 4, Iss 3, Pp 143-148 (2021)
Journal of Interventional Medicine
Journal of Interventional Medicine
Objective To investigate the value of application of low-dose and optimized length CT scan on puncture results, complications and patients’ radiation dosage during CT-guided percutaneous biopsy of pulmonary nodules (PTNB). Methods A total of 231 pa
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:3309-3325
Hyperspectral images (HSIs) are usually corrupted by various noises, e.g., Gaussian noise, impulse noise, stripes, dead lines, and many others. In this article, motivated by the good performance of the $L_{1-2}$ nonconvex metric in image sparse struc
Publikováno v:
IEEE Access, Vol 8, Pp 50190-50208 (2020)
Hyperspectral images (HSIs) are usually corrupted by various noises during the image acquisition process, e.g., Gaussian noise, impulse noise, stripes, deadlines and many others. Such complex noise severely degrades the data quality, reduces the inte
Publikováno v:
IGARSS
Several bandwise total variation (TV) regularized low-rank (LR)-based models have been proposed to remove mixed noise in hyperspectral images (HSIs). Conventionally, the rank of LR matrix is approximated using nuclear norm (NN). The NN is defined by
Hyperspectral image (HSI) denoising aims to restore clean HSI from the noise-contaminated one. Noise contamination can often be caused during data acquisition and conversion. In this paper, we propose a novel spatial-spectral total variation (SSTV) r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::907d8d4f3d6ab0fac74fc480364aed5d
http://arxiv.org/abs/2006.00235
http://arxiv.org/abs/2006.00235
Autor:
Xiaozhen Xie
Publikováno v:
Journal of Medical Imaging and Health Informatics. 8:173-179