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Software . 2020
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ZENODO
Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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DIVal Library

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 03 Aug 2020 English Publisher:Zenodo
Authors: Leuschner, Johannes; Schmidt, Maximilian; Otero Baguer, Daniel; Erzmann, David;

doi: 10.5281/zenodo.4043695 , 10.5281/zenodo.3970517 , 10.5281/zenodo.3979357

Abstract

Deep Inversion Validation Library The source code repository is hosted at https://github.com/jleuschn/dival. Documentation is available at https://jleuschn.github.io/docs.dival. It can be installed from PyPI via pip install dival

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Keywords

machine learning, deep learning, computed tomography, image reconstruction

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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!
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