Zobrazeno 11 - 20
of 8 684
pro vyhledávání: '"Chen, Shen"'
Autor:
Sun, Ke, Chen, Shen, Yao, Taiping, Yang, Haozhe, Sun, Xiaoshuai, Ding, Shouhong, Ji, Rongrong
Deepfakes are realistic face manipulations that can pose serious threats to security, privacy, and trust. Existing methods mostly treat this task as binary classification, which uses digital labels or mask signals to train the detection model. We arg
Externí odkaz:
http://arxiv.org/abs/2307.16545
Autor:
Jun-Jun Ju, Tao Zhang, Yuan Cheng, Yu-Liang Zhou, Shi-Qin Qi, Zhen-Qiang Zhang, Wei-Chen Shen, Zhu-Bin Pan
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Objective The aim of this study is to identify risk factors associated with acute complicated appendicitis (CA) in children aged three years or younger, providing a theoretical foundation for the management and treatment of acute appendiciti
Externí odkaz:
https://doaj.org/article/10220086438f405caa45af34566a9920
Autor:
Yu-Chen Shen, De-Ming Wang, Xi-Tao Yang, Zhen-Feng Wang, Ming-Zhe Wen, Yi-Feng Han, Lian-Zhou Zheng, Ruo-Yu Di, Chun-Yu Jiang, Jing-Bing Wang, Jian-Xiong You, Li-Ming Zhang, Li-Xin Su, Xin-Dong Fan
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Background Despite the efficacy of absolute ethanol (EtOH), its radiolucency introduces several risks in interventional therapy for treating vascular malformations. This study aims to develop a novel radiopaque ethanol injection (REI) to add
Externí odkaz:
https://doaj.org/article/c602b71b841f45c2a279b77334f23484
Autor:
Ding Zhang, BingShu Zheng, LiuWei Xu, YiCong Wu, Chen Shen, ShanLei Bao, ZhongHua Tan, ChunFeng Sun
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Objectives Synchronous colorectal cancer peritoneal metastasis (CRPM) has a poor prognosis. This study aimed to create a radiomics-boosted deep learning model by PET/CT image for risk assessment of synchronous CRPM. Methods A total of 220 co
Externí odkaz:
https://doaj.org/article/bcc8514461f4464b9ace40fb6ca21b43
Publikováno v:
Water Science and Technology, Vol 89, Iss 11, Pp 2936-2950 (2024)
Increasingly frequent urban floods strain the traditional grey infrastructure, overwhelming the capacity of drainage networks and causing challenges in managing stormwater. The heavy precipitation leads to flooding and damage to drainage systems. Con
Externí odkaz:
https://doaj.org/article/066f5bbd642e480da6b934d8a2e7f06e
Autor:
MA Jia, ZHANG Minjue, ZHANG Shaowei, YU Haiyan, CHEN Shen, Gulibaier MAMUTI, HONG Juan, LU Yuan
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 16, Pp 1984-1989 (2024)
Background Type 2 diabetes mellitus (T2DM) and mild cognitive impairment (MCI) are common health problems in the elderly in the community. Research on the status and influencing factors of MCI in the elderly with T2DM who participate in community man
Externí odkaz:
https://doaj.org/article/88a0333fe9b845c58804ba41146a3c57
Autor:
Dong, Yinpeng, Chen, Peng, Deng, Senyou, L, Lianji, Sun, Yi, Zhao, Hanyu, Li, Jiaxing, Tan, Yunteng, Liu, Xinyu, Dong, Yangyi, Xu, Enhui, Xu, Jincai, Xu, Shu, Fu, Xuelin, Sun, Changfeng, Han, Haoliang, Zhang, Xuchong, Chen, Shen, Sun, Zhimin, Cao, Junyi, Yao, Taiping, Ding, Shouhong, Wu, Yu, Lin, Jian, Wu, Tianpeng, Wang, Ye, Fu, Yu, Feng, Lin, Gao, Kangkang, Liu, Zeyu, Pang, Yuanzhe, Duan, Chengqi, Zhou, Huipeng, Wang, Yajie, Zhao, Yuhang, Wu, Shangbo, Lyu, Haoran, Lin, Zhiyu, Gao, Yifei, Li, Shuang, Wang, Haonan, Sang, Jitao, Ma, Chen, Zheng, Junhao, Li, Yijia, Shen, Chao, Lin, Chenhao, Cui, Zhichao, Liu, Guoshuai, Shi, Huafeng, Hu, Kun, Zhang, Mengxin
The security of artificial intelligence (AI) is an important research area towards safe, reliable, and trustworthy AI systems. To accelerate the research on AI security, the Artificial Intelligence Security Competition (AISC) was organized by the Zho
Externí odkaz:
http://arxiv.org/abs/2212.03412
Autor:
Ranade, Siddhant, Lassner, Christoph, Li, Kai, Haene, Christian, Chen, Shen-Chi, Bazin, Jean-Charles, Bouaziz, Sofien
Neural Radiance Fields (NeRFs) encode the radiance in a scene parameterized by the scene's plenoptic function. This is achieved by using an MLP together with a mapping to a higher-dimensional space, and has been proven to capture scenes with a great
Externí odkaz:
http://arxiv.org/abs/2212.03406