Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Zuoheng, ZHANG"'
Autor:
Leilei Zhou, Zuoheng Zhang, Xindao Yin, Hong-Bing Jiang, Jie Wang, Guan Gui, Yu-Chen Chen, Jin-Xia Zheng
Publikováno v:
IEEE Access, Vol 8, Pp 17527-17534 (2020)
In this paper, we propose a transfer learning-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) method for classifying fibroadenoma and invasive ductal carcinoma (IDC) in breast tumors. A total of 207 breast tumors from patients we
Externí odkaz:
https://doaj.org/article/2189d2f1dd3546cdb6eca1e690758a3f
Publikováno v:
Translational Oncology, Vol 12, Iss 2, Pp 292-300 (2019)
OBJECTIVES: To investigate the effect of transfer learning on computed tomography (CT) images for the benign and malignant classification on renal tumors and to attempt to improve the classification accuracy by building patient-level models. METHODS:
Externí odkaz:
https://doaj.org/article/8e5f907eec864b138b0784df21d3aaf8
Publikováno v:
Journal of Chemical Information and Modeling. 62:936-944
Compared to all-atom models, coarse-grained models enable the investigation of the dynamics of simulation systems on a much larger length scale and a longer time scale, which makes them suitable for studying macromolecular systems. Hence, in this wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d8ede0a52d98e6434c13cdbd1bf365b
https://doi.org/10.1021/acs.jcim.1c01306
https://doi.org/10.1021/acs.jcim.1c01306
Autor:
Yu Mao, Zuoheng Zhang, Hongfeng Zhan, Jianfei Sun, Yan Li, Zhenhuang Su, Yonghua Chen, Xingyu Gao, Xiao Huang, Ning Gu
Publikováno v:
Chemical Communications. 58:5749-5752
The mechanistic investigation of the coprecipitation formation of iron oxides has been a long-standing challenge due to the rapid reaction kinetics and high complexity of iron hydrolysis reactions. Although a few studies have suggested that the copre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7c4443ffb18a860a8d6795c27f6ad37
https://doi.org/10.1039/d2cc01617f
https://doi.org/10.1039/d2cc01617f
Publikováno v:
International Journal of Earth Sciences. 111:2777-2796
Haerdaban is a newly discovered Zn–Pb deposit (0.64 Mt at 6.19 wt% Zn and 1.09 wt% Pb) in the Western Tianshan, NW China. Sulfide mineralization mainly occurs as veins, breccias, and semi-massive ores within the dolomitic limestone and calcareous s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24de286caeb3a09d9cd897546458941e
https://doi.org/10.1007/s00531-021-02135-4
https://doi.org/10.1007/s00531-021-02135-4
Publikováno v:
Nano Research. 15:1-17
With unique physicochemical properties and biological effects, magnetic nanomaterials (MNMs) play a crucial role in the biomedical field. In particular, magnetic iron oxide nanoparticles (MIONPs) are approved by the United States Food and Drug Admini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::581cb5dc04eceef3fab29c0fc3a658d5
https://doi.org/10.1007/s12274-021-3546-1
https://doi.org/10.1007/s12274-021-3546-1
Autor:
Zhen-Wu Chen, Zongsheng Jiang, Shigang Duan, Leslie J. Robbins, Zuoheng Zhang, Noah J. Planavsky, Xiuqing Yang, Jingwen Mao
Publikováno v:
Geochimica et Cosmochimica Acta. 292:1-23
Iron formations (IFs) are iron-rich chemical sediments that were widespread throughout the Precambrian. The deposition of IFs has provided key evidence about the prevalence of anoxic and ferruginous marine conditions throughout Earth’s history. Her
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce614bc909b51d8a15fa402c564f6b77
https://doi.org/10.1016/j.gca.2020.09.017
https://doi.org/10.1016/j.gca.2020.09.017
Publikováno v:
Science China Materials. 63:2365-2370
在图像处理与分析领域, 深度学习发挥着日渐重要的作用. 我们将深度学习应用于高分辨率透射电子显微镜(HRTEM)图像晶面间距的自动快速测量中, 通过对随机样本数据训练得到具有U型结构的
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95dd7d687a39c358146b52d253d146df
https://doi.org/10.1007/s40843-020-1368-7
https://doi.org/10.1007/s40843-020-1368-7
Autor:
Zuoheng Zhang, Jianfei Sun, Bo Chen, Zhiguo Qin, Min Ji, Yu Mao, Ning Gu, Fengchao Zang, Guo Zhanhang, Zhichao Lou, Mingyue Li, Chunxian Guo, Dewen Ye, Liu Yanlong
Publikováno v:
Nanoscale. 12:5521-5532
Iron based nanomedicine (IBNM) has been one powerful diagnostic tool as a magnetic resonance imaging (MRI) contrast agent (CA) in the clinic for years. Conventional IBNMs are generally employed as T2-MRI CAs, but most of them are constrained in clini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d75720aa1446235967902029207009d1
https://doi.org/10.1039/c9nr10397j
https://doi.org/10.1039/c9nr10397j
Autor:
Jie Wang, Guan Gui, Jin-Xia Zheng, Xindao Yin, Leilei Zhou, Zuoheng Zhang, Yu-Chen Chen, Hong-Bing Jiang
Publikováno v:
IEEE Access, Vol 8, Pp 17527-17534 (2020)
In this paper, we propose a transfer learning-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) method for classifying fibroadenoma and invasive ductal carcinoma (IDC) in breast tumors. A total of 207 breast tumors from patients we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d215b1278e5df90e825c8577f1775b28
https://ieeexplore.ieee.org/document/8966374/
https://ieeexplore.ieee.org/document/8966374/