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Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16087
Abstract: BACKGROUND The growing adoption of MRI-guided radiation therapy (RT) platforms and a focus on MRI-only RT workflows has brought the technical challenge of synthetic CT (sCT) reconstruction to the forefront. Unpaired-data deep learning-based approaches to…
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Keywords:
unpaired data;
training;
training strategy;
personalized training ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3215571
Abstract: Collecting paired training data is difficult in practice, but the unpaired samples broadly exist. Current approaches aim at generating synthesized training data from unpaired samples by exploring the relationship between the corrupted and clean data.…
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Keywords:
learn unpaired;
unpaired data;
data image;
image restoration ... See more keywords