Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Huang, Yechong"'
Autor:
Duan, Qi, Wang, Guotai, Wang, Rui, Fu, Chao, Li, Xinjun, Wang, Na, Huang, Yechong, Huang, Xiaodi, Song, Tao, Zhao, Liang, Liu, Xinglong, Xia, Qing, Hu, Zhiqiang, Chen, Yinan, Zhang, Shaoting
Clinical research on smart health has an increasing demand for intelligent and clinic-oriented medical image computing algorithms and platforms that support various applications. To this end, we have developed SenseCare research platform, which is de
Externí odkaz:
http://arxiv.org/abs/2004.07031
Autor:
Xu, Xiaowei, Chen, Yinan, Wu, Jianghao, Lu, Jiangshan, Ye, Yuxiang, Huang, Yechong, Dou, Xin, Li, Kang, Wang, Guotai, Zhang, Shaoting, Gong, Wei
Publikováno v:
In Medical Image Analysis August 2023 88
Multi-modality image registration is one of the most underlined processes in medical image analysis. Recently, convolutional neural networks (CNNs) have shown significant potential in deformable registration. However, the lack of voxel-wise ground tr
Externí odkaz:
http://arxiv.org/abs/1908.08767
Autor:
Xu, Jiahang, Jiao, Fangyang, Huang, Yechong, Luo, Xinzhe, Xu, Qian, Li, Ling, Liu, Xueling, Zuo, Chuantao, Wu, Ping, Zhuang, Xiahai
Background: Parkinson's disease (PD) is a prevalent long-term neurodegenerative disease. Though the diagnostic criteria of PD are relatively well defined, the current medical imaging diagnostic procedures are expertise-demanding, and thus call for a
Externí odkaz:
http://arxiv.org/abs/1902.09934
Autor:
Huang, Yechong, Xu, Jiahang, Zhou, Yuncheng, Tong, Tong, Zhuang, Xiahai, Initiative, the Alzheimer's Disease Neuroimaging
Alzheimer's Disease (AD) is one of the most concerned neurodegenerative diseases. In the last decade, studies on AD diagnosis attached great significance to artificial intelligence (AI)-based diagnostic algorithms. Among the diverse modality imaging
Externí odkaz:
http://arxiv.org/abs/1902.09904
Akademický článek
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Autor:
Chen, Qingqing, Zhu, Yajing, Chen, Yinan, Wang, Fang, Hu, Xi, Ye, Yuxiang, Dou, Xin, Huang, Yechong, Deng, Liping, Zhou, Wei, Liang, Xiao, Hu, Hongjie
Publikováno v:
Medical Physics; May2023, Vol. 50 Issue 5, p2872-2883, 12p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Xinglong Liu, Guotai Wang, Tao Song, Yinan Chen, Ning Huang, Huang Yechong, Shaoting Zhang, Zhaoxiang Ye, Huaqiang Sheng, Jieneng Chen, Xiangde Luo
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597245
MICCAI (6)
MICCAI (6)
Automatic and accurate lung nodule detection from Computed Tomography (CT) scans plays a vital role in efficient lung cancer screening. Despite the state-of-the-art performance obtained by recent anchor-based detectors using Convolutional Neural Netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1276b99a3911e9544a2ea5c8b1f738e
https://doi.org/10.1007/978-3-030-59725-2_53
https://doi.org/10.1007/978-3-030-59725-2_53
Autor:
Xu J; School of Data Science, Fudan University, Shanghai, China.; Fudan-Xinzailing Joint Research Center for Big Data, Fudan University, Shanghai, China., Jiao F; Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China., Huang Y; School of Data Science, Fudan University, Shanghai, China., Luo X; School of Data Science, Fudan University, Shanghai, China., Xu Q; Department of Nuclear Medicine, North Huashan Hospital, Fudan University, Shanghai, China., Li L; PET Center, Huashan Hospital, Fudan University, Shanghai, China., Liu X; Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China., Zuo C; PET Center, Huashan Hospital, Fudan University, Shanghai, China., Wu P; PET Center, Huashan Hospital, Fudan University, Shanghai, China., Zhuang X; School of Data Science, Fudan University, Shanghai, China.; Fudan-Xinzailing Joint Research Center for Big Data, Fudan University, Shanghai, China.
Publikováno v:
Frontiers in neuroscience [Front Neurosci] 2019 Aug 23; Vol. 13, pp. 874. Date of Electronic Publication: 2019 Aug 23 (Print Publication: 2019).