Zobrazeno 1 - 10
of 751
pro vyhledávání: '"ZHONG, Chong"'
The multi-modal posterior under unidentified nonparametric models yields poor mixing of Markov Chain Monte Carlo (MCMC), which is a stumbling block to Bayesian predictions. In this article, we conceptualize a prior informativeness threshold that is e
Externí odkaz:
http://arxiv.org/abs/2411.01382
Autor:
Li, Yang, Deng, Jianing, Zhong, Chong, Yang, Danjuan, Li, Meiyan, Welsh, A. H., Liu, Aiyi, Zhou, Xingtao, Liu, Catherine C., Fu, Bo
Myopia screening using cutting-edge ultra-widefield (UWF) fundus imaging and joint modeling of multiple discrete and continuous clinical scores presents a promising new paradigm for multi-task problems in Ophthalmology. The bi-channel framework that
Externí odkaz:
http://arxiv.org/abs/2408.09395
Autor:
Li, Yang, Huang, Qiuyi, Zhong, Chong, Yang, Danjuan, Li, Meiyan, Welsh, A. H., Liu, Aiyi, Fu, Bo, Liu, Catherien C., Zhou, Xingtao
Myopia screening using cutting-edge ultra-widefield (UWF) fundus imaging is potentially significant for ophthalmic outcomes. Current multidisciplinary research between ophthalmology and deep learning (DL) concentrates primarily on disease classificat
Externí odkaz:
http://arxiv.org/abs/2403.11974
Autor:
Zhong, Chong, Li, Yang, Yang, Danjuan, Li, Meiyan, Zhou, Xingyao, Fu, Bo, Liu, Catherine C., Welsh, A. H.
The ultra-widefield (UWF) fundus image is an attractive 3D biomarker in AI-aided myopia screening because it provides much richer myopia-related information. Though axial length (AL) has been acknowledged to be highly related to the two key targets o
Externí odkaz:
http://arxiv.org/abs/2311.03967
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39712- (2024)
Objectives: To evaluate the utility of regression analysis in the assessment of conduction slowing in diabetic distal symmetrical polyneuropathy (DSP) and in identifying superimposed demyelination beyond fiber loss. Background: Causes of conduction s
Externí odkaz:
https://doaj.org/article/932cd037f59a4002afaee6111af60b05
We propose an original and general NOn-SEgmental (NOSE) approach for the detection of multiple change-points. NOSE identifies change-points by the non-negligibility of posterior estimates of the jump heights. Alternatively, under the Bayesian paradig
Externí odkaz:
http://arxiv.org/abs/2209.14995
This article tackles the old problem of prediction via a nonparametric transformation model (NTM) in a new Bayesian way. Estimation of NTMs is known challenging due to model unidentifiability though appealing because of its robust prediction capabili
Externí odkaz:
http://arxiv.org/abs/2205.14504
Autor:
Lv, Wu-Hong, Wu, Fan, Sorensen, Mette, Tan, Xiao-Ying, Wei, Xiao-Lei, Yu, An-Gen, Zhong, Chong-Chao, Song, Yu-Feng, Luo, Zhi
Publikováno v:
In Aquaculture 15 February 2025 596 Part 2
Autor:
Shen, Chuangpeng, Pan, Zhisen, Xie, Wenmin, Zhao, Jian, Miao, Deyu, Zhao, Ling, Liu, Min, Zhong, Yanhua, Zhong, Chong, Gonzalez, Frank J., Wang, Wei, Gao, Yong, Liu, Changhui
Publikováno v:
In Metabolism January 2025 162
Publikováno v:
IEEE Access, Vol 12, Pp 46646-46656 (2024)
In recent years, artificial intelligence (AI) approaches in computer vision and medical technology have been combined to create various convenient and accurate tools to assist medical treatments. In this work, we propose conditional generative advers
Externí odkaz:
https://doaj.org/article/91fa8d35f153430fabb27eae900516c8