Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Varut Vardhanabhuti"'
Autor:
Jie Lian, Fan Huang, Xinhai Huang, Kitty Yu-Yeung Lau, Kei Shing Ng, Carlin Chun Fai Chu, Simon Ching Lam, Mohamad Koohli-Moghadam, Varut Vardhanabhuti
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Predicting an individual’s risk of death from COVID-19 is essential for planning and optimising resources. However, since the real-world mortality rate is relatively low, particularly in places like Hong Kong, this makes buildin
Externí odkaz:
https://doaj.org/article/20984507519c41459606b435c1104f6f
Autor:
Junhui Zhang, Lixiong Dai, Li He, Abhisek Bhattarai, Chun-Ming Chan, William Chi-Shing Tai, Varut Vardhanabhuti, Ga-Lai Law
Publikováno v:
Communications Chemistry, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Due to the adverse effects of de-metallation in past concerning FDA-approved gadolinium-based contrast agents (GBCAs), researchers have been focusing on developing safer and more efficient alternatives that could avoid toxicity caused by fre
Externí odkaz:
https://doaj.org/article/7a8eb3d395ca48b59606b22371689c48
Autor:
Jing Dai, Xiaomei Wang, Yingqi Li, Zhiyu Liu, Yui-Lun Ng, Jiaren Xiao, Joe King Man Fan, James Lam, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 9, Pp n/a-n/a (2023)
Multiparametric magnetic resonance imaging (mpMRI) has emerged as a valuable diagnostic tool in prostate lesion assessment. However, training convolutional neural networks (CNNs) inevitably involves magnetic resonance (MR) images from multiple cohort
Externí odkaz:
https://doaj.org/article/983e13490619470db7d7ca6e308e259f
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
BackgroundIn terms of assessing obesity-associated risk, quantification of visceral adipose tissue (VAT) has become increasingly important in risk assessment for cardiovascular and metabolic diseases. However, differences exist in the accuracy of var
Externí odkaz:
https://doaj.org/article/b8f93b68ff9745769a5b37f2791ed422
Autor:
Alan W.L. Mui, Anne W.M. Lee, Wai-Tong Ng, Victor H.F. Lee, Varut Vardhanabhuti, Shei-Yee Man, Daniel T.T. Chua, Xin-Yuan Guan
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 27, Iss , Pp 100458- (2023)
Background and Purpose: Physiological changes in tumour occur much earlier than morphological changes. They can potentially be used as biomarkers for therapeutic response prediction. This study aimed to investigate the optimal time for early therapeu
Externí odkaz:
https://doaj.org/article/bc5121b6d16341899aac04a28174b95a
Autor:
Alan W.L. Mui, Anne W.M. Lee, W.T. Ng, Victor H.F. Lee, Varut Vardhanabhuti, Shei S.Y. Man, Daniel T.T. Chua, X.Y. Guan
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 24, Iss , Pp 30-35 (2022)
Background and Purpose: Functional imaging has an established role in therapeutic monitoring of cancer treatments. This study evaluated the correlations of tumour permeability parameters derived from dynamic contrast-enhanced magnetic resonance imagi
Externí odkaz:
https://doaj.org/article/3de0cab5aa52432685b3ea46cbb68b56
Publikováno v:
Journal of Imaging, Vol 9, Iss 10, p 209 (2023)
The accurate screening of osteoporosis is important for identifying persons at risk. The diagnosis of bone conditions using dual X-ray absorptiometry is limited to extracting areal bone mineral density (BMD) and fails to provide any structural inform
Externí odkaz:
https://doaj.org/article/ec9d4cc859f44e558c65cbf5729ec8b5
Autor:
Jie Lian, Jiajun Deng, Edward S Hui, Mohamad Koohi-Moghadam, Yunlang She, Chang Chen, Varut Vardhanabhuti
Publikováno v:
eLife, Vol 11 (2022)
Background: We proposed a population graph with Transformer-generated and clinical features for the purpose of predicting overall survival (OS) and recurrence-free survival (RFS) for patients with early stage non-small cell lung carcinomas and to com
Externí odkaz:
https://doaj.org/article/056c8f3b41ed44d49785f1a3abc2badb
Autor:
Richard Du, Efstratios D. Tsougenis, Joshua W. K. Ho, Joyce K. Y. Chan, Keith W. H. Chiu, Benjamin X. H. Fang, Ming Yen Ng, Siu-Ting Leung, Christine S. Y. Lo, Ho-Yuen F. Wong, Hiu-Yin S. Lam, Long-Fung J. Chiu, Tiffany Y So, Ka Tak Wong, Yiu Chung I. Wong, Kevin Yu, Yiu-Cheong Yeung, Thomas Chik, Joanna W. K. Pang, Abraham Ka-chung Wai, Michael D. Kuo, Tina P. W. Lam, Pek-Lan Khong, Ngai-Tseung Cheung, Varut Vardhanabhuti
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Triaging and prioritising patients for RT-PCR test had been essential in the management of COVID-19 in resource-scarce countries. In this study, we applied machine learning (ML) to the task of detection of SARS-CoV-2 infection using basic la
Externí odkaz:
https://doaj.org/article/f01d34f4f45d4097bfbec59ffa2e34af
Autor:
Jie Lian, Yonghao Long, Fan Huang, Kei Shing Ng, Faith M. Y. Lee, David C. L. Lam, Benjamin X. L. Fang, Qi Dou, Varut Vardhanabhuti
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundLung cancer is the leading cause of cancer-related mortality, and accurate prediction of patient survival can aid treatment planning and potentially improve outcomes. In this study, we proposed an automated system capable of lung segmentati
Externí odkaz:
https://doaj.org/article/38b9778e57dd41a1af3c350e520f1fe3