Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Yanye Lu"'
Autor:
Lei Zhu, Junmeng Li, Yicheng Hu, Ruilin Zhu, Shuang Zeng, Pei Rong, Yadi Zhang, Xiaopeng Gu, Yuwei Wang, Zhiyue Zhang, Liu Yang, Qiushi Ren, Yanye Lu
Publikováno v:
Health Data Science, Vol 4 (2024)
Background: The choroid is the most vascularized structure in the human eye, associated with numerous retinal and choroidal diseases. However, the vessel distribution of choroidal sublayers has yet to be effectively explored due to the lack of suitab
Externí odkaz:
https://doaj.org/article/81933c3f8c9b4928bcfbeb7dad45d848
Autor:
Sihao Zhu, Ziyuan Li, Dongye Zheng, Yue Yu, Jing Xiang, Xiao Ma, Dongqing Xu, Jiajun Qiu, Ziyu Yang, Zhiyi Wang, Jun Li, Hongfang Sun, Weiqiang Chen, Xiangxi Meng, Yanye Lu, Qiushi Ren
Publikováno v:
Molecular Therapy: Oncolytics, Vol 28, Iss , Pp 182-196 (2023)
Endogenous microRNAs (miRNA) in tumors are currently under exhaustive investigation as potential therapeutic agents for cancer treatment. Nevertheless, RNase degradation, inefficient and untargeted delivery, limited biological effect, and currently u
Externí odkaz:
https://doaj.org/article/00b48d64561046cca13771a122c1e372
Autor:
Hongjia Liu, Dan Zhao, Yuliang Huang, Chenguang Li, Zhengkun Dong, Hongbo Tian, Yijie Sun, Yanye Lu, Chen Chen, Hao Wu, Yibao Zhang
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
PurposeTo propose and evaluate a comprehensive modeling approach combing radiomics, dosiomics and clinical components, for more accurate prediction of locoregional recurrence risk after radiotherapy for patients with locoregionally advanced HPSCC.Mat
Externí odkaz:
https://doaj.org/article/09c80e7ce0c646c79e91e78fced8f396
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 3, Pp 1371-1379 (2020)
This study aimed to provide a calibration criterion based on the condition number (Cond, Q) of the basis material matrix (BMM) to optimize experimental performance of basis of material decomposition (BMD) results. Cond(Q) was first elaborated theoret
Externí odkaz:
https://doaj.org/article/4682b90540f740908be67235177fbfe3
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-15 (2019)
Abstract Background Medical datasets, especially medical images, are often imbalanced due to the different incidences of various diseases. To address this problem, many methods have been proposed to synthesize medical images using generative adversar
Externí odkaz:
https://doaj.org/article/957b458e03d84891b726492824ac1798
Autor:
Kedi Zhou, Yichen Ding, Ivan Vuletic, Yonglu Tian, Jun Li, Jinghao Liu, Yixing Huang, Hongfang Sun, Changhui Li, Qiushi Ren, Yanye Lu
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-15 (2018)
Abstract Background Optical imaging is one of the most common, low-cost imaging tools used for investigating the tumor biological behavior in vivo. This study explores the feasibility and sensitivity of a near infrared fluorescent protein mKate2 for
Externí odkaz:
https://doaj.org/article/160b4c178f1f4e92a7fa2d647415e62e
Autor:
Zhe Jiang, Zekuan Yu, Shouxin Feng, Zhiyu Huang, Yahui Peng, Jianxin Guo, Qiushi Ren, Yanye Lu
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-19 (2018)
Abstract Background Fundus fluorescein angiography (FFA) imaging is a standard diagnostic tool for many retinal diseases such as age-related macular degeneration and diabetic retinopathy. High-resolution FFA images facilitate the detection of small l
Externí odkaz:
https://doaj.org/article/7e0f2a641acd4ff8b2ece4d795f6044f
Publikováno v:
Sensors, Vol 13, Iss 2, Pp 2447-2474 (2013)
CdZnTe detectors have been under development for the past two decades, providing good stopping power for gamma rays, lightweight camera heads and improved energy resolution. However, the performance of this type of detector is limited primarily by in
Externí odkaz:
https://doaj.org/article/9a49b13bdcea4e0a843d4b2515a8550f
Autor:
Zhe, Jiang, Zhiyu, Huang, Yunfei, You, Mufeng, Geng, Xiangxi, Meng, Bin, Qiu, Lei, Zhu, Mengdi, Gao, Jing, Wang, Chuanqing, Zhou, Qiushi, Ren, Yanye, Lu
Publikováno v:
Medical Physics. 49:3705-3716
Optical coherence tomography angiography (OCTA) is a premium imaging modality for noninvasive microvasculature studies. Deep learning networks have achieved promising results in the OCTA reconstruction task, benefiting from their powerful modeling ca
Publikováno v:
Catalysis Letters.