Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Niyun Zhou"'
Autor:
Xiaoying Lou, Niyun Zhou, Lili Feng, Zhenhui Li, Yuqi Fang, Xinjuan Fan, Yihong Ling, Hailing Liu, Xuan Zou, Jing Wang, Junzhou Huang, Jingping Yun, Jianhua Yao, Yan Huang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveThis study aimed to develop an artificial intelligence model for predicting the pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) of locally advanced rectal cancer (LARC) using digital pathological images.Backgroun
Externí odkaz:
https://doaj.org/article/670c27b049ca4a9ca106cc748913e059
Autor:
Wenhua Liang, Jianhua Yao, Ailan Chen, Qingquan Lv, Mark Zanin, Jun Liu, SookSan Wong, Yimin Li, Jiatao Lu, Hengrui Liang, Guoqiang Chen, Haiyan Guo, Jun Guo, Rong Zhou, Limin Ou, Niyun Zhou, Hanbo Chen, Fan Yang, Xiao Han, Wenjing Huan, Weimin Tang, Weijie Guan, Zisheng Chen, Yi Zhao, Ling Sang, Yuanda Xu, Wei Wang, Shiyue Li, Ligong Lu, Nuofu Zhang, Nanshan Zhong, Junzhou Huang, Jianxing He
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical illness is of major concern and early assessment would be vital. Here, the authors show that a deep learning-based survival model can predict the risk o
Externí odkaz:
https://doaj.org/article/2ee4dd97fb1f4849aebac304d8ba36b8
Autor:
Wenhua Liang, Jianhua Yao, Ailan Chen, Qingquan Lv, Mark Zanin, Jun Liu, SookSan Wong, Yimin Li, Jiatao Lu, Hengrui Liang, Guoqiang Chen, Haiyan Guo, Jun Guo, Rong Zhou, Limin Ou, Niyun Zhou, Hanbo Chen, Fan Yang, Xiao Han, Wenjing Huan, Weimin Tang, Weijie Guan, Zisheng Chen, Yi Zhao, Ling Sang, Yuanda Xu, Wei Wang, Shiyue Li, Ligong Lu, Nuofu Zhang, Nanshan Zhong, Junzhou Huang, Jianxing He
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-2 (2021)
Externí odkaz:
https://doaj.org/article/acbf6925b7e74625901730c0454f328b
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
Abstract The resolution of electron-potential maps in single-particle cryo-electron microscopy (cryoEM) is approaching atomic or near- atomic resolution. However, no program currently exists for de novo cryoEM model building at resolutions exceeding
Externí odkaz:
https://doaj.org/article/79ab52c3922a4eda8cb40a1b7d751ccc
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Autor:
Xiaoying Lou, Niyun Zhou, Lili Feng, Zhenhui Li, Yuqi Fang, Xinjuan Fan, Yihong Ling, Hailing Liu, Xuan Zou, Jing Wang, Junzhou Huang, Jingping Yun, Jianhua Yao, Yan Huang
Publikováno v:
Frontiers in oncology. 12
ObjectiveThis study aimed to develop an artificial intelligence model for predicting the pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) of locally advanced rectal cancer (LARC) using digital pathological images.Backgroun
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
Biophysics Reports
As single particle cryo-electron microscopy has evolved to a new era of atomic resolution, sample heterogeneity still imposes a major limit to the resolution of many macromolecular complexes, especially those with continuous conformational flexibilit
Autor:
Niyun Zhou, Wenyuan Chen, Bin Xu, Xiaowu Li, Hongrong Liu, Lingpeng Cheng, Xurong Wang, Jiawei Wang, Bin Zhu
Publikováno v:
Journal of Molecular Biology. 429:79-87
Single-particle cryo-electron microscopy (cryo-EM) allows the high-resolution structural determination of biological assemblies in a near-native environment. However, all high-resolution (better than 3.5Å) cryo-EM structures reported to date were ob
Autor:
Shaowei Jiang, Chengfei Guo, Pengming Song, Niyun Zhou, Zichao Bian, Jiakai Zhu, Ruihai Wang, Pei Dong, Zibang Zhang, Jun Liao, Jianhua Yao, Bin Feng, Murphy, Michael, Guoan Zheng
Publikováno v:
ACS Photonics; 11/17/2021, Vol. 8 Issue 11, p3261-3271, 11p