Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Fuzhen Liu"'
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Aim to validate the diagnostic efficacy of radiomics models for predicting various degrees of cognitive impairment in patients with cerebral small vessel disease (CSVD). Methods Participants were divided into mild cognitive impair
Externí odkaz:
https://doaj.org/article/923e345176074978a4a645971b67151a
Autor:
Jian Lv, Xin Li, Ronghua Mu, Wei Zheng, Peng Yang, Bingqin Huang, Fuzhen Liu, Xiaomin Liu, Zhixuan Song, Xiaoyan Qin, Xiqi Zhu
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundIn recent years, studies have confirmed the predictive capability of spectral computer tomography (CT) in determining microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC). Discrepancies in the predicted MVI values be
Externí odkaz:
https://doaj.org/article/2b2568955ec34e339961b9aea46a5eea
Publikováno v:
Separations, Vol 11, Iss 9, p 274 (2024)
The development of appropriate and effective periodate (PI) activation technology is currently a popular research area. This study presents a novel efficient photocatalytic activation approach of PI for pollutant degradation based on carbon nitride (
Externí odkaz:
https://doaj.org/article/5c6d055196c34e3abaf43bbe00da143d
Autor:
Xiaoyan Qin, Jian Lv, Jianmei Zhang, Ronghua Mu, Wei Zheng, Fuzhen Liu, Bingqin Huang, Xin Li, Peng Yang, Kan Deng, Xiqi Zhu
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundProstate cancer invades the capsule is a key factor in selecting appropriate treatment methods. Accurate preoperative prediction of extraprostatic extension (EPE) can help achieve precise selection of treatment plans.PurposeThe aim of this
Externí odkaz:
https://doaj.org/article/76110dec4c0e4c3396f74fb423474bea
Publikováno v:
Brain and Behavior, Vol 13, Iss 11, Pp n/a-n/a (2023)
Abstract Objective We aim to develop a radiomics model based on 3‐dimensional (3D)‐T1WI images to discriminate amnestic mild cognitive impairment (aMCI) patients from the normal population by measuring changes in frontal white matter. Methods In
Externí odkaz:
https://doaj.org/article/929666ede4ec48af83ca2e34720f2742
Autor:
Ronghua Mu, Xiaoyan Qin, Wei Zheng, Peng Yang, Bingqin Huang, Xin Li, Fuzhen Liu, Kan Deng, Xiqi Zhu
Publikováno v:
Brain Research Bulletin, Vol 204, Iss , Pp 110793- (2023)
Backgroud: Emerging evidence suggests an overlap in the underlying pathways contributing to both cerebral small vessel disease (CSVD) and the neurodegenerative disease. Studies investigating the progression of CSVD should incorporate markers that ref
Externí odkaz:
https://doaj.org/article/f35de4a1bdd0457683a8202ab05a29a4
Publikováno v:
Zhongguo dizhi zaihai yu fangzhi xuebao, Vol 32, Iss 6, Pp 98-106 (2021)
Machine learning faces two difficulties in the evaluation of landslide susceptibility. One is the objective quantification of evaluation index, and the other is the selection of training sample-0.5pts. For that reason, the frequency ratio method is u
Externí odkaz:
https://doaj.org/article/da0db5d47c9c4a8ab7032f5a45094e94
Autor:
Zixuan Guo, Yanchun Jiang, Xiaoyan Qin, Ronghua Mu, Zhuoni Meng, Zeyu Zhuang, Fuzhen Liu, Xiqi Zhu
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Objectives: To evaluate whether 3D amide proton transfer weighted (APTw) imaging based on magnetization transfer analysis can be used as a novel imaging marker to distinguish amnestic mild cognitive impairment (aMCI) patients from the normal elderly
Externí odkaz:
https://doaj.org/article/913a03f0918c4494909c7cf1ee860aa6
Publikováno v:
Quantitative Imaging in Medicine and Surgery. 13:812-824
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3c301fc31930e28a3a31a0fe725728
https://doi.org/10.21037/qims-22-721
https://doi.org/10.21037/qims-22-721
Publikováno v:
International Journal of Electronic Commerce. 26:174-199
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45051ee2a86bf3bf3f3b926388e39f88
https://doi.org/10.1080/10864415.2022.2050581
https://doi.org/10.1080/10864415.2022.2050581