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"An efficient semi-supervised quality control system trained using ..."

Daniele Ravì et al. (2022)

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DOI: 10.48550/ARXIV.2206.03359

access: open

type: Informal or Other Publication

metadata version: 2024-05-07

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  - journals/corr/abs-2206-03359
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  - https://dblp.org/rec/journals/corr/abs-2206-03359
Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi:
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. CoRR abs/2206.03359 (2022)

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