Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Zongrui Ma"'
Autor:
Xiaoli Zheng, Wei Guo, Yunhan Wang, Jiang Zhang, Yuanpeng Zhang, Chen Cheng, Xinzhi Teng, Saikit Lam, Ta Zhou, Zongrui Ma, Ruining Liu, Hui Wu, Hong Ge, Jing Cai, Bing Li
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-10 (2023)
Abstract Purpose The study aimed to predict acute radiation esophagitis (ARE) with grade ≥ 2 for patients with locally advanced lung cancer (LALC) treated with intensity-modulated radiation therapy (IMRT) using multi-omics features, including radio
Externí odkaz:
https://doaj.org/article/070590b40d09471ca01c6e5f4250e3d7
Autor:
Xinzhi Teng, Jiang Zhang, Alex Zwanenburg, Jiachen Sun, Yuhua Huang, Saikit Lam, Yuanpeng Zhang, Bing Li, Ta Zhou, Haonan Xiao, Chenyang Liu, Wen Li, Xinyang Han, Zongrui Ma, Tian Li, Jing Cai
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Radiomic model reliability is a central premise for its clinical translation. Presently, it is assessed using test–retest or external data, which, unfortunately, is often scarce in reality. Therefore, we aimed to develop a novel image pert
Externí odkaz:
https://doaj.org/article/132f2df3fc634d21b1fae7818b2e72fb
Autor:
Xinzhi Teng, Jiang Zhang, Zongrui Ma, Yuanpeng Zhang, Saikit Lam, Wen Li, Haonan Xiao, Tian Li, Bing Li, Ta Zhou, Ge Ren, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Amy Tien Yee Chang, Jing Cai
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundUsing high robust radiomic features in modeling is recommended, yet its impact on radiomic model is unclear. This study evaluated the radiomic model’s robustness and generalizability after screening out low-robust features before radiomic
Externí odkaz:
https://doaj.org/article/c8d14fa3a67140b394dd68d7784b249e
Autor:
Bing Li, Ge Ren, Wei Guo, Jiang Zhang, Sai-Kit Lam, Xiaoli Zheng, Xinzhi Teng, Yunhan Wang, Yang Yang, Qinfu Dan, Lingguang Meng, Zongrui Ma, Chen Cheng, Hongyan Tao, Hongchang Lei, Jing Cai, Hong Ge
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Purpose: This study investigates the impact of lung function on radiation pneumonitis prediction using a dual-omics analysis method.Methods: We retrospectively collected data of 126 stage III lung cancer patients treated with chemo-radiotherapy using
Externí odkaz:
https://doaj.org/article/def4be5961264cdc8188aedbd3bf3e90
Autor:
Yuanpeng Zhang, Dongrong Yang, Saikit Lam, Bing Li, Xinzhi Teng, Jiang Zhang, Ta Zhou, Zongrui Ma, Tin-Cheung (Michael) Ying, Jing Cai
Publikováno v:
Diagnostics, Vol 12, Iss 11, p 2613 (2022)
The COVID-19 pandemic has posed a significant global public health threat with an escalating number of new cases and death toll daily. The early detection of COVID-related CXR abnormality potentially allows the early isolation of suspected cases. Che
Externí odkaz:
https://doaj.org/article/10642b30d9cf4363a57c2961b1570dc6
Publikováno v:
ACS Biomaterials Science & Engineering. 9:562-576
Dynamic DNA nanostructures are DNA nanostructures with reconfigurable elements that can undergo structural transformations in response to specific stimuli. Thus, anchoring dynamic DNA nanostructures on cell membranes is an attractive and promising st
Autor:
Yu-Hua Huang, Xinzhi Teng, Jiang Zhang, Zhi Chen, Zongrui Ma, Ge Ren, Feng-Ming (Spring) Kong, Hong Ge, Jing Cai
Publikováno v:
Journal of Thoracic Imaging; Sep2023, Vol. 38 Issue 5, p286-296, 11p
Autor:
Jiang Zhang, Sai-Kit Lam, Xinzhi Teng, Zongrui Ma, Xinyang Han, Yuanpeng Zhang, Andy Lai-Yin Cheung, Tin-Ching Chau, Sherry Chor-Yi Ng, Francis Kar-Ho Lee, Kwok-Hung Au, Celia Wai-Yi Yip, Victor Ho-Fun Lee, Ying Han, Jing Cai
Publikováno v:
Radiotherapy and Oncology. 183:109578
Autor:
Bing Li, Xiaoli Zheng, Jiang Zhang, Saikit Lam, Wei Guo, Yunhan Wang, Sunan Cui, Xinzhi Teng, Yuanpeng Zhang, Zongrui Ma, Ta Zhou, Zhaoyang Lou, Lingguang Meng, Hong Ge, Jing Cai
Publikováno v:
Cancers; Volume 14; Issue 19; Pages: 4889
Purpose: To evaluate the effectiveness of features obtained from our proposed incremental-dose-interval-based lung subregion segmentation (IDLSS) for predicting grade ≥ 2 acute radiation pneumonitis (ARP) in lung cancer patients upon intensity-modu
Autor:
Jiang Zhang, Saikit Lam, Xinzhi Teng, Yuanpeng Zhang, Zongrui Ma, Francis Lee, Kwok-hung Au, Wai Yi Yip, Tien Yee Amy Chang, Wing Chi Lawrence Chan, Victor Lee, Q. Jackie Wu, Jing Cai
Publikováno v:
Computational Mathematics Modeling in Cancer Analysis ISBN: 9783031172656
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bed003c31c58e53e1156ff0178131195
https://doi.org/10.1007/978-3-031-17266-3_3
https://doi.org/10.1007/978-3-031-17266-3_3