Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Recent advances in MRI reconstruction have achieved remarkable success with deep learning-based models. However, most methods depend on large-scale, task-specific datasets, leaving reconstruction in data-limited settings as a critical but underexplored challenge. Regularization by denoising (RED) is a general pipeline that incorporates a denoiser a...
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Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
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TN_cdi_proquest_journals_2855745278
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2855745278
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2331-8422
