DOI: 10.1016/j.jsb.2017.12.015. A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation

A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation

10.1016/j.jsb.2017.12.015

Crossref journal-article

Elsevier BV

Journal of Structural Biology (78)

Bibliography

Zeng, X., Leung, M. R., Zeev-Ben-Mordehai, T., & Xu, M. (2018). A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation. Journal of Structural Biology, 202(2), 150â160.

Authors 4

Xiangrui Zeng (first)
Miguel Ricardo Leung (additional)
Tzviya Zeev-Ben-Mordehai (additional)
Min Xu (additional)

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Dates

Type	When
Created	7 years, 8 months ago (Dec. 28, 2017, 1:21 p.m.)
Deposited	2 years ago (Aug. 30, 2023, 4:05 a.m.)
Indexed	4 days, 23 hours ago (Aug. 26, 2025, 2:36 a.m.)
Issued	7 years, 3 months ago (May 1, 2018)
Published	7 years, 3 months ago (May 1, 2018)
Published Print	7 years, 3 months ago (May 1, 2018)

Funders 4

NIH 10.13039/100000002 National Institutes of Health
Region: Americas
gov (National government)
Labels3
1. Institutos Nacionales de la Salud
2. US National Institutes of Health
3. NIH
Awards1
1. P41 GM103712
Wellcome Trust and the Royal Society
Awards1
1. 107578/Z/15/Z
Wellcome Trust Joint Infrastructure Fund Award
Awards1
1. 060208/Z/00/Z
Wellcome Trust Equipment
Awards1
1. 093305/Z/10/Z

BibTeX

@article{Zeng_2018, title={A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation}, volume={202}, ISSN={1047-8477}, url={http://dx.doi.org/10.1016/j.jsb.2017.12.015}, DOI={10.1016/j.jsb.2017.12.015}, number={2}, journal={Journal of Structural Biology}, publisher={Elsevier BV}, author={Zeng, Xiangrui and Leung, Miguel Ricardo and Zeev-Ben-Mordehai, Tzviya and Xu, Min}, year={2018}, month=may, pages={150–160} }

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