Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Haipeng Tang"'
Autor:
Meng Wang, Caijiao Li, Jiaye Li, Wenjing Hu, Aiqi Yu, Haipeng Tang, Jiayan Li, Haixue Kuang, Huijie Zhang
Publikováno v:
Molecules, Vol 28, Iss 12, p 4813 (2023)
Portulaca oleracea L. (purslane) is a widely distributed plant with a long history of cultivation and consumption. Notably, polysaccharides obtained from purslane exhibit surprising and satisfactory biological activities, which explain the various be
Externí odkaz:
https://doaj.org/article/386d719d0ff84f18b9158ad4999481b7
Autor:
Wenjing Hu, Aiqi Yu, Shuang Wang, Qianxiang Bai, Haipeng Tang, Bingyou Yang, Meng Wang, Haixue Kuang
Publikováno v:
Molecules, Vol 28, Iss 9, p 3855 (2023)
Zingiber officinale Roscoe. (ginger) is a widely distributed plant with a long history of cultivation and consumption. Ginger can be used as a spice, condiment, food, nutrition, and as an herb. Significantly, the polysaccharides extracted from ginger
Externí odkaz:
https://doaj.org/article/59c3feaf4ec1442b88c46b9b11a74b58
Analyze Informant-Based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning
Autor:
Fubao Zhu, Xiaonan Li, Daniel Mcgonigle, Haipeng Tang, Zhuo He, Chaoyang Zhang, Guang-Uei Hung, Pai-Yi Chiu, Weihua Zhou
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-6 (2020)
Objective: This paper proposes a multiclass deep learning method for the classification of dementia using an informant-based questionnaire. Methods: A deep neural network classification model based on Keras framework is proposed in this paper. To eva
Externí odkaz:
https://doaj.org/article/7aa6922aa7644fdd9fec1e27b9cde9ef
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0213430 (2019)
IntroductionUsing machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia.MethodsWith the reduction of the survey size as a goal of th
Externí odkaz:
https://doaj.org/article/6891565a21a84b4aa02dcee0118e3e11
Publikováno v:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b31b4222d15f9a923ffba3c380a2e0f
https://doi.org/10.1117/12.2654606
https://doi.org/10.1117/12.2654606
Autor:
Chen Zhao, Robert Bober, Haipeng Tang, Jinshan Tang, Minghao Dong, Chaoyang Zhang, Zhuo He, Michele Esposito, Zhihui Xu, Weihua Zhou
Publikováno v:
Journal of Advances in Applied & Computational Mathematics. 9:76-85
Accurate semantic segmentation of each coronary artery using invasive coronary angiography (ICA) is important for stenosis assessment and coronary artery disease (CAD) diagnosis. In this paper, we propose a multi-step semantic segmentation algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53dde14df27170354a2fd160abee79cf
https://doi.org/10.15377/2409-5761.2022.09.6
https://doi.org/10.15377/2409-5761.2022.09.6
Autor:
Zhihui, Xu, Haipeng, Tang, Saurabh, Malhotra, Minghao, Dong, Chen, Zhao, Zekang, Ye, Ying, Zhou, Shun, Xu, Dianfu, Li, Cheng, Wang, Weihua, Zhou
Publikováno v:
Journal of Nuclear Cardiology. 29:3267-3277
SPECT myocardial perfusion imaging (SPECT MPI) and invasive coronary angiography (ICA) provide complementary clinical information in the diagnosis of coronary artery disease (CAD). We have developed an approach for 3D fusion of perfusion data from SP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dfe426fa735f6cd2540cd1d1c96e64f
https://doi.org/10.1007/s12350-022-02907-8
https://doi.org/10.1007/s12350-022-02907-8
Publikováno v:
Journal of Creativity in Mental Health. :1-18
Most Chinese pre-arrival training programs are focused on English language training without preparing students with psychological readiness to overcome potential adversities. This paper explores th...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c16d533f0d52bf1206850f515d43022
https://doi.org/10.1080/15401383.2021.1989354
https://doi.org/10.1080/15401383.2021.1989354
Autor:
Yinghui Meng, Minghao Dong, Xumin Dai, Haipeng Tang, Chen Zhao, Jingfeng Jiang, Shun Xu, Ying Zhou, Fubao Zhu, Zhihui Xu, Weihua Zhou
Publikováno v:
Technology and health care : official journal of the European Society for Engineering and Medicine. 30(5)
BACKGROUND: Automatic identification of proper image frames at the end-diastolic (ED) and end-systolic (ES) frames during the review of invasive coronary angiograms (ICA) is important to assess blood flow during a cardiac cycle, reconstruct the 3D ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35bed693ff5393ea2eb53531ea589be1
https://pubmed.ncbi.nlm.nih.gov/35599518
https://pubmed.ncbi.nlm.nih.gov/35599518
Publikováno v:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XX.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5626d3716e2435d28e793315f794e9f8
https://doi.org/10.1117/12.2608991
https://doi.org/10.1117/12.2608991