Zobrazeno 1 - 10 of 129 pro vyhledávání: '"Weicheng Zhu"'
1
Akademický článek
Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Autor: Sheng Liu, Arjun V. Masurkar, Henry Rusinek, Jingyun Chen, Ben Zhang, Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Early diagnosis of Alzheimer’s disease plays a pivotal role in patient care and clinical trials. In this study, we have developed a new approach based on 3D deep convolutional neural networks to accurately differentiate mild Alzheimer’s
Externí odkaz: https://doaj.org/article/da17dc8d2aa84529befc537abb60d9db
Zobrazit plný text záznamu
4
A new framework for examining creditworthiness of borrowers: the mover-stayer model with covariate and macroeconomic effects
Autor: Weicheng Zhu, Halina Frydman, Anna Matuszyk, Chang Li
Publikováno v: Quantitative Finance. 21:1491-1499
We develop a novel extension of the mover-stayer model to allow for time-dependent variables such as macroeconomic factors and apply it to the repayment process for car loans. The MS model postulat...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::71488d5d383593e189f8c6e1e31dbdc3
https://doi.org/10.1080/14697688.2021.1917773
Zobrazit plný text záznamu
6
Associations of Resistance Exercise with Cardiovascular Disease Morbidity and Mortality
Autor: Riquan Zhang, Yanghui Liu, Yehua Li, Steven N. Blair, Carl J. Lavie, Weicheng Zhu, Xuemei Sui, Duck-chul Lee
Publikováno v: Med Sci Sports Exerc
PURPOSE: Resistance exercise (RE) can improve many cardiovascular disease (CVD) risk factors, but specific data on the effects on CVD events and mortality are lacking. We investigated the associations of RE with CVD and all-cause mortality, and furth
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::076dec46ca70c53ccfe41d963b97e880
https://doi.org/10.1249/mss.0000000000001822
Zobrazit plný text záznamu
7
Variationally regularized graph-based representation learning for electronic health records
Autor: Narges Razavian, Weicheng Zhu
Publikováno v: CHIL
Electronic Health Records (EHR) are high-dimensional data with implicit connections among thousands of medical concepts. These connections, for instance, the co-occurrence of diseases and lab-disease correlations can be informative when only a subset
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9688a4dc4a9018baac39f383394a5ac
https://doi.org/10.1145/3450439.3451855
Zobrazit plný text záznamu
8
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
Autor: Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
Deep learning in the presence of noisy annotations has been studied extensively in classification, but much less in segmentation tasks. In this work, we study the learning dynamics of deep segmentation networks trained on inaccurately-annotated data.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fad16228fe2610fa39ff053fd09a572f
Zobrazit plný text záznamu
10
Akademický článek
edcc : An R Package for the Economic Design of the Control Chart
Autor: Weicheng Zhu, Changsoon Park
Publikováno v: Journal of Statistical Software, Vol 52, Iss 9 (2013)
The basic purpose of the economic design of the control charts is to find the optimum control charts parameters to minimize the process cost. In this paper, an R package, edcc (economic design of control charts), which provides a numerical method to
Externí odkaz: https://doaj.org/article/65d92e97890a4bd7bbb0ef37b587ba8d
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje