Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Zhaoxin Fan"'
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0149023 (2016)
Various feeder layers have been extensively applied to support the prolonged growth of human pluripotent stem cells (hPSCs) for in vitro cultures. Among them, mouse embryonic fibroblast (MEF) and mouse fibroblast cell line (SNL) are most commonly use
Externí odkaz:
https://doaj.org/article/8857d77e30be4bf58b3aa487ec97613c
Autor:
ZHAOXIN FAN1 fanzhaoxin@ruc.edu.cn, YAZHI ZHU2 19120324@bjtu.edu.cn, YULIN HE1 yolanehe@ruc.edu.cn, QI SUN1 ssq@ruc.edu.cn, HONGYAN LIU3 liuhy@sem.tsinghua.edu.cn, JUN HE1 hejun@ruc.edu.cn
Publikováno v:
ACM Computing Surveys. May2023, Vol. 55 Issue 4, p1-40. 40p.
Publikováno v:
Signal Processing. 211:109108
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250552
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4f9cc826e0959470842237f003823cf
https://doi.org/10.1007/978-3-031-25056-9_45
https://doi.org/10.1007/978-3-031-25056-9_45
Autor:
Haoyi Zhu, Chuting Wang, Yuanxin Wang, Zhaoxin Fan, Mostofa Rafid Uddin, Xin Gao, Jing Zhang, Xiangrui Zeng, Min Xu
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
Computer Graphics Forum. 39:301-311
Publikováno v:
Computer Graphics Forum. 39:313-323
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783031189128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1464f618ed18d7b12ba0e00d41f16bf6
https://doi.org/10.1007/978-3-031-18913-5_14
https://doi.org/10.1007/978-3-031-18913-5_14
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200854
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cec6fdb48b789386fd2e8c7fb9ad241c
https://doi.org/10.1007/978-3-031-20086-1_13
https://doi.org/10.1007/978-3-031-20086-1_13
Publikováno v:
ICASSP
Utilizing computer vision technologies for machinery missing part detection has been a hot research topic recently. Most of existing methods take images as input and utilize 2D object detection pipelines for detecting fault regions. However, 2D model