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ZENODO
Dataset . 2021
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
Data sources: ZENODO
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CytoShapeNet: Red blood cell phenotyping from 3D confocal images using artificial neural networks

Research datakeyboard_double_arrow_right Dataset 07 Apr 2021Publisher:Zenodo
Authors: Simionato, Greta; Hinkelmann, Konrad; Chachanidze, Revaz; Bianchi, Paola; Fermo, Elisa; van Wijk, Richard; Leonetti, Marc; +3 Authors

doi: 10.5281/zenodo.4670204 , 10.5281/zenodo.4670205

CytoShapeNet: Red blood cell phenotyping from 3D confocal images using artificial neural networks

Abstract

Our code and dataset that support the findings in "Red blood cell phenotyping from 3D confocal images using artificial neural networks", published 2021 in PLoS Computational Biology (10.1371/journal.pcbi.1008934).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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44