Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ziyang Liu"'
Publikováno v:
Knowledge and Information Systems. 65:613-640
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:4255-4270
Spatially varying exposure (SVE) is a promising choice for high-dynamic-range (HDR) imaging (HDRI). The SVE-based HDRI, which is called single-shot HDRI, is an efficient solution to avoid ghosting artifacts. However, it is very challenging to restore
Autor:
Jian Cheng, Dacheng Tao, Hao Guan, Jiyang Jiang, Haogang Zhu, Wei Wen, Tao Liu, Ziyang Liu, Zhenzhou Wu
Publikováno v:
IEEE Transactions on Medical Imaging. 40:3400-3412
Chronological age of healthy people is able to be predicted accurately using deep neural networks from neuroimaging data, and the predicted brain age could serve as a biomarker for detecting aging-related diseases. In this paper, a novel 3D convoluti
Publikováno v:
Digital Signal Processing. 133:103837
Autor:
Tao Liu, Zhenzhou Wu, Lingling Ding, Xia Meng, Ziyang Liu, Fu He, Shuai Wang, Zixiao Li, Xingquan Zhao, Yongjun Wang, Ravikiran Mane, Jing Jing, Yong Jiang, Hao Li
Publikováno v:
European journal of neurologyREFERENCES. 29(3)
BACKGROUND AND PURPOSE Acute brainstem infarctions can lead to serious functional impairments. We aimed to predict functional outcomes in patients with acute brainstem infarction using deep neuroimaging features extracted by convolutional neural netw
Autor:
Diane M. Strong, Bengisu Tulu, Shubham Jain, Emmanuel Agu, Ameya Wagh, Ziyang Liu, Peder C. Pedersen, Clifford Lindsay, Apratim Mukherjee
Publikováno v:
IEEE Access, Vol 8, Pp 181590-181604 (2020)
IEEE Access
IEEE Access
Smartphone wound image analysis has recently emerged as a viable way to assess healing progress and provide actionable feedback to patients and caregivers between hospital appointments. Segmentation is a key image analysis step, after which attribute
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Community detection is a fundamental problem in network science with various applications. The problem has attracted much attention and many approaches have been proposed. Among the existing approaches are the latest methods based on Graph Convolutio
Publikováno v:
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA).
Deep learning has a strong ability to tackle pixel- level labeling tasks in image understanding. However, the disorder and irregularity of 3D point cloud data make it difficult to be applied. Though there are a few approaches that have acquired satis
Autor:
Yan Xing, Ziyang Liu
Publikováno v:
2020 Chinese Automation Congress (CAC).
It is one of the developing directions of deep space exploration in the future to carry out surface wide patrol detection of extraterrestrial bodies by unmanned or manned means. Whether the unknown complex surface environment can be accurately and ef