Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Huang, Qiaoying"'
Autor:
Yi, Jingru, Wu, Pengxiang, Tang, Hui, Liu, Bo, Huang, Qiaoying, Qu, Hui, Han, Lianyi, Fan, Wei, Hoeppner, Daniel J., Metaxas, Dimitris N.
Instance segmentation is of great importance for many biological applications, such as study of neural cell interactions, plant phenotyping, and quantitatively measuring how cells react to drug treatment. In this paper, we propose a novel box-based i
Externí odkaz:
http://arxiv.org/abs/2106.07159
Autor:
Huang, Qiaoying, Zhang, Bo, Wang, Dan, Zhao, Min, Chen, Lei, Yang, Xiaojing, Yang, Yabing, Wang, Miao, Chen, Zhenhao, Zhang, Zhike, Qin, Yonghua, Zhao, Jietang, Hu, Guibing
Publikováno v:
In Scientia Horticulturae 1 May 2024 331
Autor:
Ye, Meng, Kanski, Mikael, Yang, Dong, Chang, Qi, Yan, Zhennan, Huang, Qiaoying, Axel, Leon, Metaxas, Dimitris
Cardiac tagging magnetic resonance imaging (t-MRI) is the gold standard for regional myocardium deformation and cardiac strain estimation. However, this technique has not been widely used in clinical diagnosis, as a result of the difficulty of motion
Externí odkaz:
http://arxiv.org/abs/2103.02772
Autor:
Xian, Yikun, Fu, Zuohui, Zhao, Handong, Ge, Yingqiang, Chen, Xu, Huang, Qiaoying, Geng, Shijie, Qin, Zhou, de Melo, Gerard, Muthukrishnan, S., Zhang, Yongfeng
Recent research explores incorporating knowledge graphs (KG) into e-commerce recommender systems, not only to achieve better recommendation performance, but more importantly to generate explanations of why particular decisions are made. This can be a
Externí odkaz:
http://arxiv.org/abs/2010.15620
Autor:
Huang, Qiaoying, Chen, Eric Z., Yu, Hanchao, Guo, Yimo, Chen, Terrence, Metaxas, Dimitris, Sun, Shanhui
Accurate estimation of shape thickness from medical images is crucial in clinical applications. For example, the thickness of myocardium is one of the key to cardiac disease diagnosis. While mathematical models are available to obtain accurate dense
Externí odkaz:
http://arxiv.org/abs/2008.11109
Autor:
Huang, Qiaoying, Yang, Dong, Xian, Yikun, Wu, Pengxiang, Yi, Jingru, Qu, Hui, Metaxas, Dimitris
The accurate reconstruction of under-sampled magnetic resonance imaging (MRI) data using modern deep learning technology, requires significant effort to design the necessary complex neural network architectures. The cascaded network architecture for
Externí odkaz:
http://arxiv.org/abs/2008.08248
Autor:
Ye, Meng, Huang, Qiaoying, Yang, Dong, Wu, Pengxiang, Yi, Jingru, Axel, Leon, Metaxas, Dimitris
Publikováno v:
STACOM 2020
The 3D volumetric shape of the heart's left ventricle (LV) myocardium (MYO) wall provides important information for diagnosis of cardiac disease and invasive procedure navigation. Many cardiac image segmentation methods have relied on detection of re
Externí odkaz:
http://arxiv.org/abs/2008.08194
Oriented object detection in aerial images is a challenging task as the objects in aerial images are displayed in arbitrary directions and are usually densely packed. Current oriented object detection methods mainly rely on two-stage anchor-based det
Externí odkaz:
http://arxiv.org/abs/2008.07043
Recent work on recommender systems has considered external knowledge graphs as valuable sources of information, not only to produce better recommendations but also to provide explanations of why the recommended items were chosen. Pure rule-based symb
Externí odkaz:
http://arxiv.org/abs/2007.13207
Autor:
Qu, Hui, Wu, Pengxiang, Huang, Qiaoying, Yi, Jingru, Yan, Zhennan, Li, Kang, Riedlinger, Gregory M., De, Subhajyoti, Zhang, Shaoting, Metaxas, Dimitris N.
Nuclei segmentation is a fundamental task in histopathology image analysis. Typically, such segmentation tasks require significant effort to manually generate accurate pixel-wise annotations for fully supervised training. To alleviate such tedious an
Externí odkaz:
http://arxiv.org/abs/2007.05448