Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Zhou, Niyun"'
Autor:
Jiang, Shaowei, Guo, Chengfei, Song, Pengming, Zhou, Niyun, Bian, Zichao, Zhu, Jiakai, Wang, Ruihai, Dong, Pei, Zhang, Zibang, Liao, Jun, Yao, Jianhua, Feng, Bin, Murphy, Michael, Zheng, Guoan
Ptychography is an enabling coherent diffraction imaging technique for both fundamental and applied sciences. Its applications in optical microscopy, however, fall short for its low imaging throughput and limited resolution. Here, we report a resolut
Externí odkaz:
http://arxiv.org/abs/2112.08144
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics; September 2024, Vol. 21 Issue: 5 p1299-1310, 12p
Autor:
Li, Xiaowu, Zhou, Niyun, Chen, Wenyuan, Zhu, Bin, Wang, Xurong, Xu, Bin, Wang, Jiawei, Liu, Hongrong, Cheng, Lingpeng
Publikováno v:
In Journal of Molecular Biology 6 January 2017 429(1):79-87
Autor:
Zichao Bian, Chengfei Guo, Pengming Song, Jun Liao, Zibang Zhang, Shaowei Jiang, Jianhua Yao, Ruihai Wang, Michael Murphy, Zhou Niyun, Pei Dong, Jiakai Zhu, Guoan Zheng, Bin Feng
Publikováno v:
ACS Photonics. 8:3261-3271
Ptychography is an enabling coherent diffraction imaging technique for both fundamental and applied sciences. Its applications in optical microscopy, however, fall short for its low imaging throughput and limited resolution. Here, we report a resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::108e4ff0f8dad83502e13fdb0b952a41
https://doi.org/10.1021/acsphotonics.1c01085
https://doi.org/10.1021/acsphotonics.1c01085
Akademický článek
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Autor:
Wenjing Huan, Ailan Chen, Jianhua Yao, Haiyan Guo, Mark Zanin, Sook-san Wong, Jiatao Lu, Shiyue Li, Jun Liu, Yimin Li, Ling Sang, Wenhua Liang, Fan Yang, Ligong Lu, Hengrui Liang, Zisheng Chen, Nanshan Zhong, Wei-jie Guan, Weimin Tang, Jianxing He, Junzhou Huang, Yi Zhao, Hanbo Chen, Zhou Niyun, Guoqiang Chen, Nuofu Zhang, Yuanda Xu, Rong Zhou, Jun Guo, Wei Wang, Xiao Han, Qingquan Lv, Limin Ou
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-2 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-2 (2021)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab85a63b61d4e22964697830a9b55e1
Autor:
Junzhou Huang, Wenhua Liang, Jiatao Lu, Ling Sang, Fan Yang, Wei Wang, Xiao Han, Zisheng Chen, Hanbo Chen, Sook San Wong, Yuanda Xu, Shiyue Li, Zhou Niyun, Ligong Lu, Mark Zanin, Qingquan Lv, Limin Ou, Nuofu Zhang, Yimin Li, Haiyan Guo, Weimin Tang, Jianxing He, Yi Zhao, Jun Liu, Jun Guo, Rong Zhou, Ailan Chen, Hengrui Liang, Nanshan Zhong, Guoqiang Chen, Wenjing Huan, Jianhua Yao, Wei-jie Guan
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
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. It is imperative to identify these patients early. We show that a deep learning-based survival model can predict the risk o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f51fb5a183557551e6605638cd3a5aa4
Autor:
Bjoern H. Menze, Fan Yang, Xinjuan Fan, Jun Zhang, Jianhua Yao, Hailing Liu, Yuqi Fang, Sen Yang, Yu Zhao, Zhou Niyun, Jiarui Sun
Publikováno v:
CVPR
Multiple instance learning (MIL) is a typical weakly-supervised learning method where the label is associated with a bag of instances instead of a single instance. Despite extensive research over past years, effectively deploying MIL remains an open
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a53636581b3139fd92faf3673aabc5d
https://doi.org/10.1109/cvpr42600.2020.00489
https://doi.org/10.1109/cvpr42600.2020.00489
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
ISBI
Web of Science
Web of Science
Mitotic cell detection and counting per tissue area is an important aggressiveness indicator for the invasive breast cancer. However, manual mitosis counting by pathologists is extremely labor-intensive. Several automatic mitosis detection methods ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f717e0f4d64356341fe3c2a941b0b8da
https://doi.org/10.1109/isbi.2019.8759461
https://doi.org/10.1109/isbi.2019.8759461