Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jiaxiang Jiang"'
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)
Abstract We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience research, the skeleton representation is often used as a compac
Externí odkaz:
https://doaj.org/article/91fa9b0d960f4de2800c5cc27bf048ae
Autor:
Jiaxiang Jiang, Amil Khan, S. Shailja, Samuel A. Belteton, Michael Goebel, Daniel B. Szymanski, B. S. Manjunath
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract This paper presents a method for time-lapse 3D cell analysis. Specifically, we consider the problem of accurately localizing and quantitatively analyzing sub-cellular features, and for tracking individual cells from time-lapse 3D confocal ce
Externí odkaz:
https://doaj.org/article/649a2299fdfc402e94b9440c8db276e7
Autor:
Po-Yu Kao, Shailja Shailja, Jiaxiang Jiang, Angela Zhang, Amil Khan, Jefferson W. Chen, B. S. Manjunath
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Externí odkaz:
https://doaj.org/article/c8031ddfe9394479b8921277d7839497
Autor:
Po-Yu Kao, Shailja Shailja, Jiaxiang Jiang, Angela Zhang, Amil Khan, Jefferson W. Chen, B. S. Manjunath
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2020)
The manual brain tumor annotation process is time consuming and resource consuming, therefore, an automated and accurate brain tumor segmentation tool is greatly in demand. In this paper, we introduce a novel method to integrate location information
Externí odkaz:
https://doaj.org/article/6ecbc5795ba74a86be46c3457c4a5681
We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience research, the skeleton representation is often used as a compact and abs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc8394ecf790aef28bc657d8017b1e99
http://arxiv.org/abs/2212.07044
http://arxiv.org/abs/2212.07044
Autor:
B.S. Manjunath, Pollock, Tresa, Chowdhury, Amit, Nirav Merchant, Miller, Robert, Khan, Amil, Kumar, Satish, Goebel, Michael, Jiaxiang Jiang, Levenson, Connor, Chandrakanth Gudavalli
This is the poster for presentation at the CSSI PI meeting on July 25-26.
Award #: 1664172
Award #: 1664172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eaafed0d9ddc9dc772e5e59f58cc988
Publikováno v:
Coatings; Volume 12; Issue 2; Pages: 279
With the deepening of modernization in China, the situation of air environmental pollution in China is very serious, and the environmental capacity is becoming less and less. Haze has gradually become one of the main sources of pollution in most citi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93cc65d9b8f2258d00dd0e42e89fb9ff
Autor:
Fangqiang Wei, Fan Mo, Shirong zhang, Jianhui Wu, Ying Wang, Jiaxiang Jiang, Mou Xiaozhou, Jiayan Lian, Minjun Zhang, Xiaodong Liang, Wanyuan Chen, Haibo Zhang, Jianming Tang, Bo Yu, Yongshi Jia
Publikováno v:
Cell Death and Differentiation
Long noncoding RNAs (lncRNAs) play important roles in regulating the development and progression of many cancers. However, the clinical significance of specific lncRNAs in the context of nasopharyngeal carcinoma (NPC) and the molecular mechanisms by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f33627bb99a574410bc9043c898e5cc
https://doi.org/10.1038/s41418-019-0381-y
https://doi.org/10.1038/s41418-019-0381-y
Publikováno v:
ISBI
We propose a novel weakly supervised method to improve the boundary of the 3D segmented nuclei utilizing an over-segmented image. This is motivated by the observation that current state-of-the-art deep learning methods do not result in accurate bound
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b78827a4d52f4d46042c8ea8656af350
http://arxiv.org/abs/2010.13343
http://arxiv.org/abs/2010.13343
Publikováno v:
SN Applied Sciences. 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5577fd6bc5839d130ab34aefb65e6ac
https://doi.org/10.1007/s42452-020-03235-7
https://doi.org/10.1007/s42452-020-03235-7