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License: CC BY
Data sources: ZENODO
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Image . 2025
License: CC BY
Data sources: Datacite
ZENODO
Image . 2025
License: CC BY
Data sources: Datacite
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Datasets used for the training and validation in the paper "Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine"

appsOther research productkeyboard_double_arrow_right Image 30 May 2025Publisher:Zenodo
Authors: Chonghang, Zhao;

doi: 10.5281/zenodo.15427919 , 10.5281/zenodo.15427918

Datasets used for the training and validation in the paper "Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine"

Abstract

Original image datasets before processing and argumentation that were used to training the network in the paper tilted "Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine", arXiv:2503.19248. Training and example code can be find at https://github.com/chonghangzhao/PFITRE. Model parameter file is also available for download. Orig_img_for_training.zip: images used for training Validation.zip: images used for validation ckpt_PFITRE.pth: model parameter file

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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!
0
Average
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Average