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Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2457444679

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

About this item

Full title

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-11

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Diffusion-weighted magnetic resonance imaging (DWI) is the only noninvasive method for quantifying microstructure and reconstructing white-matter pathways in the living human brain. Fluctuations from multiple sources create significant additive noise in DWI data which must be suppressed before subsequent microstructure analysis. We introduce a self...

Alternative Titles

Full title

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2457444679

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2457444679

Other Identifiers

E-ISSN

2331-8422

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