Zobrazeno 1 - 10
of 1 422
pro vyhledávání: '"Li, Debiao"'
Non-Cartesian sampling with subspace-constrained image reconstruction is a popular approach to dynamic MRI, but slow iterative reconstruction limits its clinical application. Data-consistent (DC) deep learning can accelerate reconstruction with good
Externí odkaz:
http://arxiv.org/abs/2205.01770
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 11, Pp 61-70 (2023)
The static and dynamic corrosion experimental platforms of supercritical fluid reactor were used for the static and dynamic corrosion test of Q235, 304, 316L, P91, N80 and 3Cr13 in the supercritical water pseudo-critical region (22.5 MPa, 375.6 ℃)
Externí odkaz:
https://doaj.org/article/cb81c30155a64be6a14b3df2f10acb77
Autor:
Du, Yaqi, Ding, Shuang, Li, Ce, Bai, Yun, Wang, Xinrui, Li, Debiao, Xie, Yibin, Fan, Guoguang, Wu, Lian-Ming, Wang, Guan
Publikováno v:
In Journal of Cardiovascular Magnetic Resonance Winter 2024 26(2)
Autor:
Nakazawa, Motoki, Matsumoto, Hidenari, Li, Debiao, Slomka, Piotr J., Dey, Damini, Cadet, Sebastien, Isodono, Koji, Irie, Daisuke, Higuchi, Satoshi, Tanisawa, Hiroki, Ohya, Hidefumi, Kitamura, Ryoji, Komori, Yoshiaki, Hondera, Tetsuichi, Sato, Ikumi, Lee, Hsu-Lei, Christodoulou, Anthony G., Xie, Yibin, Shinke, Toshiro
Publikováno v:
In Journal of Cardiovascular Magnetic Resonance Summer 2024 26(1)
Cine cardiac magnetic resonance imaging (MRI) is widely used for diagnosis of cardiac diseases thanks to its ability to present cardiovascular features in excellent contrast. As compared to computed tomography (CT), MRI, however, requires a long scan
Externí odkaz:
http://arxiv.org/abs/2006.12700
High-resolution (HR) magnetic resonance imaging (MRI) provides detailed anatomical information that is critical for diagnosis in the clinical application. However, HR MRI typically comes at the cost of long scan time, small spatial coverage, and low
Externí odkaz:
http://arxiv.org/abs/2003.01217
Autor:
Chen, Yuhua, Ruan, Dan, Xiao, Jiayu, Wang, Lixia, Sun, Bin, Saouaf, Rola, Yang, Wensha, Li, Debiao, Fan, Zhaoyang
Segmentation of multiple organs-at-risk (OARs) is essential for radiation therapy treatment planning and other clinical applications. We developed an Automated deep Learning-based Abdominal Multi-Organ segmentation (ALAMO) framework based on 2D U-net
Externí odkaz:
http://arxiv.org/abs/1912.11000
Publikováno v:
Medical Image Computing and Computer Assisted Intervention 2019 pp 495-504
High spatiotemporal resolution dynamic magnetic resonance imaging (MRI) is a powerful clinical tool for imaging moving structures as well as to reveal and quantify other physical and physiological dynamics. The low speed of MRI necessitates accelerat
Externí odkaz:
http://arxiv.org/abs/1910.00956
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Materials Today Communications June 2023 35