Zobrazeno 1 - 10
of 2 022
pro vyhledávání: '"JING Pei"'
Autor:
Lin Yan, Zhiying Liang, Hao Zhang, Gaosong Zhang, Weiwei Zheng, Chunguang Han, Dongsheng Yu, Hanqi Zhang, Xinxin Xie, Chang Liu, Wenxin Zhang, Hui Zheng, Jing Pei, Dinggang Shen, Xuejun Qian
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-11 (2024)
Abstract Background Though deep learning has consistently demonstrated advantages in the automatic interpretation of breast ultrasound images, its black-box nature hinders potential interactions with radiologists, posing obstacles for clinical deploy
Externí odkaz:
https://doaj.org/article/65eb8cb1c48f4cd08ce659cefda91cd8
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
Basic research on chronic rhinosinusitis (CRS) has advanced significantly in the past two decades, yet a comprehensive understanding of its pathogenic mechanisms remains elusive. Concurrently, there is a growing interest among scientists in exploring
Externí odkaz:
https://doaj.org/article/7e75b1eeb4f14e84954359acb655b3ec
Publikováno v:
Cancer Cell International, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/338564a269ad4d62a7011842cdf72232
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20541- (2023)
Soil contamination by heavy metals occurs globally, with varying degrees of severity, especially in agricultural fields. Investigating the frequency response characteristics of different types of heavy metal pollutants through induced polarization ca
Externí odkaz:
https://doaj.org/article/3d63469441c045e5bd4c853a43f3d5b2
Autor:
Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 3, p 034009 (2024)
Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is quite difficult to optimize SNNs because the functional roles of thei
Externí odkaz:
https://doaj.org/article/eedc1f0716694835b37bb95be39befa8
Autor:
Chunguang Han, Yubo Pan, Chang Liu, Xiaowei Yang, Jianbin Li, Kun Wang, Zhengkui Sun, Hui Liu, Gongsheng Jin, Fang Fang, Xiaofeng Pan, Tong Tang, Xiao Chen, Shiyong Pang, Li Ma, Xiaodong Wang, Yun Ren, Mengyou Liu, Feng Liu, Mengxue Jiang, Jiqi Zhao, Chenyang Lu, Zhengdong Lu, Dongjing Gao, Zefei Jiang, Jing Pei
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundAI-based clinical decision support system (CDSS) has important prospects in overcoming the current informational challenges that cancer diseases faced, promoting the homogeneous development of standardized treatment among different geograph
Externí odkaz:
https://doaj.org/article/2802d4a19dc34d52be4179b5985c3848
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The decentralized manycore architecture is broadly adopted by neuromorphic chips for its high computing parallelism and memory locality. However, the fragmented memories and decentralized execution make it hard to deploy neural network models onto ne
Externí odkaz:
https://doaj.org/article/6c871f60b49d4984a29fc67a6a876644
Autor:
Rong Zhao, Zheyu Yang, Hao Zheng, Yujie Wu, Faqiang Liu, Zhenzhi Wu, Lukai Li, Feng Chen, Seng Song, Jun Zhu, Wenli Zhang, Haoyu Huang, Mingkun Xu, Kaifeng Sheng, Qianbo Yin, Jing Pei, Guoqi Li, Youhui Zhang, Mingguo Zhao, Luping Shi
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Hybrid neural networks combine advantages of spiking and artificial neural networks in the context of computing and biological motivation. The authors propose a design framework with hybrid units for improved flexibility and efficiency of hybrid neur
Externí odkaz:
https://doaj.org/article/c41e7262657143f7aa89477cd794864b
Autor:
Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Songchen Ma, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Global and local learning represent two distinct approaches to artificial intelligence. In this manuscript, Wu et al present a hybrid learning strategy, drawing from elements of both approaches, and implement it on a co-designed neuromorphic platform
Externí odkaz:
https://doaj.org/article/c636786e6a2c4ad791c5928d459e9941
Autor:
Jing Pei, ShengQuan Zhang, Xiaowei Yang, Chunguang Han, Yubo Pan, Jun Li, Zhaorui Wang, Chenyu Sun, Jing Zhang
Publikováno v:
Translational Oncology, Vol 28, Iss , Pp 101615- (2023)
Background: Altered epigenetic reprogramming and events contribute to breast cancer (Bca) progression and metastasis. How the epigenetic histone demethylases modulate breast cancer progression remains poorly defined. We aimed to elucidate the biologi
Externí odkaz:
https://doaj.org/article/13c1348db975472a8aaee7636cb11e23