Zobrazeno 1 - 10
of 1 139
pro vyhledávání: '"Chen Yingyu"'
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 2962-72 (2024)
Bortezomib (BTZ), a proteasome inhibitor, is a promising therapeutic option for multiple myeloma (MM) patients. However, drug resistance often occurs, leading to disease relapse and poor prognosis. In this study, we aimed to identify novel genes asso
Externí odkaz:
https://doaj.org/article/7182aacdb063460cbfac8dd3de4438ae
Multi-modality (MM) semi-supervised learning (SSL) based medical image segmentation has recently gained increasing attention for its ability to utilize MM data and reduce reliance on labeled images. However, current methods face several challenges: (
Externí odkaz:
http://arxiv.org/abs/2410.17565
The surge of hate speech on social media platforms poses a significant challenge, with hate speech detection~(HSD) becoming increasingly critical. Current HSD methods focus on enriching contextual information to enhance detection performance, but the
Externí odkaz:
http://arxiv.org/abs/2409.13557
Autor:
Fang, Meiling, Huber, Marco, Fierrez, Julian, Ramachandra, Raghavendra, Damer, Naser, Alkhaddour, Alhasan, Kasantcev, Maksim, Pryadchenko, Vasiliy, Yang, Ziyuan, Huangfu, Huijie, Chen, Yingyu, Zhang, Yi, Pan, Yuchen, Jiang, Junjun, Liu, Xianming, Sun, Xianyun, Wang, Caiyong, Liu, Xingyu, Chang, Zhaohua, Zhao, Guangzhe, Tapia, Juan, Gonzalez-Soler, Lazaro, Aravena, Carlos, Schulz, Daniel
This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition attract
Externí odkaz:
http://arxiv.org/abs/2311.05336
Recently, uncertainty-aware methods have attracted increasing attention in semi-supervised medical image segmentation. However, current methods usually suffer from the drawback that it is difficult to balance the computational cost, estimation accura
Externí odkaz:
http://arxiv.org/abs/2307.08988
Autor:
Yang, Ziyuan, Chen, Yingyu, Huangfu, Huijie, Ran, Maosong, Wang, Hui, Li, Xiaoxiao, Zhang, Yi
U-shaped networks are widely used in various medical image tasks, such as segmentation, restoration and reconstruction, but most of them usually rely on centralized learning and thus ignore privacy issues. To address the privacy concerns, federated l
Externí odkaz:
http://arxiv.org/abs/2212.06378
Publikováno v:
In Applied Surface Science 30 January 2025 680
Autor:
Ye, Jieyi a, 1, Chen, Yinting a, 1, Pan, Jiawei b, Qiu, Yide a, Luo, Zhuoru a, Xiong, Yue a, He, Yanping a, Chen, Yingyu c, Xie, Fuqing c, Huang, Weijun a, ⁎
Publikováno v:
In Academic Radiology January 2025 32(1):67-78
Computed tomography (CT) is of great importance in clinical practice due to its powerful ability to provide patients' anatomical information without any invasive inspection, but its potential radiation risk is raising people's concerns. Deep learning
Externí odkaz:
http://arxiv.org/abs/2206.03709
Autor:
Luo, Liping a, 1, An, Xing a, d, 1, Wang, Yali a, d, 1, Zheng, Qiaoyun a, Lin, Kehan a, Shi, Qizhen b, c, ⁎, Chen, Yingyu a, d, e, 2, ⁎
Publikováno v:
In International Immunopharmacology 25 December 2024 143 Part 2