Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Zhikai Liu"'
Autor:
Jing Shen, Yinjie Tao, Jingya Zhou, Hui Guan, Hongnan Zhen, Junfang Yan, Xiaorong Hou, Zhikai Liu, Ke Hu, Fuquan Zhang
Publikováno v:
Cancer Control, Vol 31 (2024)
Background For patients with stage III epithelial ovarian cancer, there are limited studies on the effects of postoperative adjuvant radiotherapy (RT). Here we assessed the therapeutic efficacy and toxicity of postoperative radiotherapy to the abdomi
Externí odkaz:
https://doaj.org/article/72ae1332312a4e1dbaf2c3592300aaec
Publikováno v:
IEEE Access, Vol 12, Pp 19520-19531 (2024)
This paper presents a lightweight tensor completion algorithm with applications in wireless edge caching and hyper-spectral imaging. In wireless edge caching, the dynamic and selective nature of content popularity inevitably leads to missing observat
Externí odkaz:
https://doaj.org/article/e74a89e9934c439795a90c993998830e
Autor:
Junfang Yan, Xue Qin, Caixia Qiao, Jiawei Zhu, Lina Song, Mi Yang, Shaobin Wang, Lu Bai, Zhikai Liu, Jie Qiu
Publikováno v:
Precision Radiation Oncology, Vol 7, Iss 3, Pp 189-196 (2023)
Abstract Purpose For postoperative vaginal brachytherapy (POVBT), the diversity of applicators complicates the creation of a generalized auto‐segmentation model, and creating models for each applicator seems difficult due to the large amount of dat
Externí odkaz:
https://doaj.org/article/ec03078cdb39417c8b62845bf6cfa86d
Autor:
Hui Guan, Guangyu Wang, Weiping Wang, Yuncan Zhou, Zhikai Liu, Xiaorong Hou, Junfang Yan, Shuai Sun, Ke Hu, Jing Zhao
Publikováno v:
Radiation Oncology, Vol 18, Iss 1, Pp 1-7 (2023)
Abstract Objective The purpose of this study was to evaluate the efficacy of postoperative adjuvant radiotherapy for patients with upper tract urothelial carcinoma (UTUC) who underwent kidney-sparing surgery (KSS). Methods We retrospectively reviewed
Externí odkaz:
https://doaj.org/article/9656df82dced42af93f306401035b18e
Autor:
Hong-Kai Yuan, Bo Li, Leyun Wu, Xue-Ling Wang, Zhi-Ying Lv, Zhikai Liu, Zhijian Xu, Jin Lu, Cai-Tao Chen, Yong-Qing Yang, Weiliang Zhu, Lei-Miao Yin
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 167, Iss , Pp 115556- (2023)
Asthma is a complex and heterogeneous respiratory disease that causes serious social and economic burdens. Current drugs such as β2-agonists cannot fully control asthma. Our previous study found that Transgelin-2 is a potential target for treating a
Externí odkaz:
https://doaj.org/article/e884847535394aaca6ff8dfc794be7b9
Autor:
Jie Shen, Fuquan Zhang, Mingyi Di, Jing Shen, Shaobin Wang, Qi Chen, Yu Chen, Zhikai Liu, Xin Lian, Jiabin Ma, Tingtian Pang, Tingting Dong, Bei Wang, Qiu Guan, Lei He, Yue Zhang, Hao Liang
Publikováno v:
Thoracic Cancer, Vol 13, Iss 20, Pp 2897-2903 (2022)
Abstract Background The lack of standardized delineation of lymph node station in lung cancer radiotherapy leads to nonstandard clinical target volume (CTV) contouring, especially in patients with bulky lump gross target volume lymph nodes (GTVnd). T
Externí odkaz:
https://doaj.org/article/726ed4d5e930495bb90e659305e01ff0
Autor:
Zhikai Liu, David G. C. Hildebrand, Joshua L. Morgan, Yizhen Jia, Nicholas Slimmon, Martha W. Bagnall
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
How sensory systems are organized during development remains unclear. Here, the authors used electron microscopy to examine the gravity-sensing system in zebrafish, finding that directional tuning and developmental age are organizing principles of th
Externí odkaz:
https://doaj.org/article/24d7eea3a1b74b4db790f69db714a63b
Publikováno v:
Discover Oncology, Vol 13, Iss 1, Pp 1-13 (2022)
Abstract Background With the advances of radiation technology, treatment of oligometastatic disease, with limited metastatic burden, have more chances to achieve long-term local control. Here we aim to evaluate the efficacy and safety of radiotherapy
Externí odkaz:
https://doaj.org/article/43d563f0da5b49c88180caf89087f3ec
Autor:
Jing Shen MD, Yinjie Tao MD, Hui Guan MD, Hongnan Zhen MD, Lei He PhD, Tingting Dong PhD, Shaobin Wang PhD, Yu Chen PhD, Qi Chen PhD, Zhikai Liu MD, Fuquan Zhang MD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 22 (2023)
Purpose Clinical target volumes (CTVs) and organs at risk (OARs) could be autocontoured to save workload. This study aimed to assess a convolutional neural network for automatic and accurate CTV and OARs in prostate cancer, while comparing possible t
Externí odkaz:
https://doaj.org/article/a74483a672984c60a4db8d9ff33b489f
Publikováno v:
Cancer Medicine, Vol 11, Iss 1, Pp 166-175 (2022)
Abstract Background Delineation of clinical target volume (CTV) for radiotherapy is a time‐consuming and labor‐intensive work. This study aims to propose a novel convolutional neural network (CNN)‐based model for fast auto‐segmentation of CTV
Externí odkaz:
https://doaj.org/article/b1a4b8c2634d48959cbc95145a7a64c4