Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yunshi Huang"'
Autor:
Chenchen Mao, Xin Liu, Yunshi Huang, Mingming Shi, Weiyang Meng, Libin Xu, Weisheng Chen, Yuanbo Hu, Xinxin Yang, Xiaodong Chen, Xian Shen
Publikováno v:
Journal of Diabetes Research, Vol 2020 (2020)
Background. Postsurgical gastroparesis syndrome (PGS) after subtotal gastrectomy imposes significant social and economic burdens. We aimed to investigate the relationship between preoperative blood glucose level and PGS and develop a nomogram for ind
Externí odkaz:
https://doaj.org/article/16056618db6d44c58d44e16bd95c3906
Publikováno v:
Preventive Medicine Reports, Vol 7, Iss C, Pp 206-210 (2017)
The rapid decline in young children's active commutes to and from school has prompted investigations into ways to raise activity levels. The period after school is recognized as very important in the daily activity regime of primary school children.
Externí odkaz:
https://doaj.org/article/313187ce46cd4f948104f0d077981f01
Autor:
Yunshi Huang, Zhenhua Deng, Hassan Fazeli Nashli, Dorian Q. Fuller, Xiaohong Wu, Mojtaba Safari
Publikováno v:
Antiquity. :1-16
Following their early domestication, broomcorn millet and rice (in East Asia) and wheat and barley (in South-west Asia) were subsequently adopted across Eurasia during the Bronze Age/early historic period. The precise timing and dispersal routes for
Publikováno v:
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, 2022, 32, pp.430-445. ⟨10.1109/TIP.2022.3224322⟩
IEEE Transactions on Image Processing, 2022, 32, pp.430-445. ⟨10.1109/TIP.2022.3224322⟩
In this paper, we introduce a variational Bayesian algorithm (VBA) for image blind deconvolution. Our generic framework incorporates smoothness priors on the unknown blur/image and possible affine constraints (e.g., sum to one) on the blur kernel. On
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab28c791ac032cc6fc56776d1d750c0c
https://hal.science/hal-03881393/file/main_tip.pdf
https://hal.science/hal-03881393/file/main_tip.pdf
Publikováno v:
IEEE Transactions on Computational Imaging
IEEE Transactions on Computational Imaging, IEEE, 2021, 7, pp.531-546
Huang, Y, Chouzenoux, E & Elvira, V 2021, ' Probabilistic modeling and inference for sequential space-varying blur identification ', IEEE Transactions on Computational Imaging, vol. 7, pp. 531-546 . https://doi.org/10.1109/TCI.2021.3081059
IEEE Transactions on Computational Imaging, 2021, 7, pp.531-546. ⟨10.1109/TCI.2021.3081059⟩
IEEE Transactions on Computational Imaging, IEEE, 2021, 7, pp.531-546
Huang, Y, Chouzenoux, E & Elvira, V 2021, ' Probabilistic modeling and inference for sequential space-varying blur identification ', IEEE Transactions on Computational Imaging, vol. 7, pp. 531-546 . https://doi.org/10.1109/TCI.2021.3081059
IEEE Transactions on Computational Imaging, 2021, 7, pp.531-546. ⟨10.1109/TCI.2021.3081059⟩
International audience; The identification of parameters of spatially variant blurs given a clean image and its blurry noisy version is a challenging inverse problem of interest in many application fields, such as biological microscopy and astronomic
Autor:
Weisheng Chen, Xinxin Yang, Xiaodong Chen, Xian Shen, Chenchen Mao, Yuanbo Hu, Li-Bin Xu, Mingming Shi, Weiyang Meng, Yunshi Huang, Xin Liu
Publikováno v:
Journal of Diabetes Research, Vol 2020 (2020)
Journal of Diabetes Research
Journal of Diabetes Research
Background. Postsurgical gastroparesis syndrome (PGS) after subtotal gastrectomy imposes significant social and economic burdens. We aimed to investigate the relationship between preoperative blood glucose level and PGS and develop a nomogram for ind
Autor:
Yunpeng Zeng, Yunshi Huang, Xian Shen, Chenchen Mao, Jingxuan Xu, Xiang Wang, Ce Zhu, Guanbao Zhu, Xiaodong Chen, Weiyang Meng
Publikováno v:
Cancer Management and Research. 11:8101-8110
Background Cachexia affects nearly 50-80% of cancer patients, and most studies have only focused on elderly patients. We investigated preoperative cachexia in gastric cancer (GC) patients by age group and comprehensively analyzed the impact of preope
Autor:
Weiteng Zhang, Yunshi Huang, Weisheng Chen, Ji Lin, Guanbao Zhu, Xian Shen, Xiaodong Chen, Rui-sen Wu
Publikováno v:
Journal of Surgical Research. 241:141-148
BACKGROUND Accurate evaluation of muscle strength and function is difficult. Commonly known as sarcopenia, skeletal muscle loss is closely correlated with the prognosis of patients diagnosed with gastric cancer (GC). We wondered the correlation betwe
Autor:
Chenchen Mao, Guanbao Zhu, Yunshi Huang, Jingxuan Xu, Weiteng Zhang, Xiaodong Chen, Yunpeng Zeng, Li-Bin Xu, Mingming Shi, Xian Shen, Weisheng Chen
Publikováno v:
Cancer Management and Research. 11:2903-2913
Background: Peritoneal metastases of gastric cancer are usually detected using imaging, However, the results of imaging modalities are not always reliable; therefore, the prediction of prognosis based on these findings is therefore inaccurate. As vis
Publikováno v:
CAMSAP 2019-IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
CAMSAP 2019-IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Dec 2019, Le Gosier, France
Huang, Y, Chouzenoux, E & Elvira, V 2020, ' Particle Filtering for Online Space-Varying Blur Identification ', Paper presented at 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 15/12/19-18/12/19 . https://doi.org/10.1109/CAMSAP45676.2019.9022470
CAMSAP
CAMSAP 2019-IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Dec 2019, Le Gosier, France
Huang, Y, Chouzenoux, E & Elvira, V 2020, ' Particle Filtering for Online Space-Varying Blur Identification ', Paper presented at 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 15/12/19-18/12/19 . https://doi.org/10.1109/CAMSAP45676.2019.9022470
CAMSAP
International audience; The identification of parameters of spatially variant blurs given a clean image and its blurry noisy version is a challenging inverse problem of interest in many application fields, such as biological microscopy and astronomic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1701b7acec7d6c98bc6bdf931d3ee57e
https://hal.archives-ouvertes.fr/hal-02406970
https://hal.archives-ouvertes.fr/hal-02406970