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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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Claim

Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 22 Feb 2024Publisher:Zenodo
Authors: Fabian Altekrueger;

doi: 10.5281/zenodo.10694857 , 10.5281/zenodo.10694858

Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".

Abstract

Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization" available at https://doi.org/10.1088/1361-6420/acce5e (open access). The repository contains an implementation of patchNRs. It contains scripts for reproducing the numerical example CT imaging in Section 4.1 and Superresolution in Section 4.2.

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    popularity
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    influence
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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
Average
Average