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US Patent 10534059 Bayesian model for highly accelerated phase-contrast MRI

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Date Filed
May 20, 2016
Date of Patent
January 14, 2020
Patent Application Number
15160083
Patent Citations Received
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US Patent 12105173 Self ensembling techniques for generating magnetic resonance images from spatial frequency data
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US Patent 11344219 Deep learning techniques for alignment of magnetic resonance images
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US Patent 11789104 Deep learning techniques for suppressing artefacts in magnetic resonance images
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US Patent 11467239 Deep learning techniques for magnetic resonance image reconstruction
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US Patent 11550014 Artificial intelligence based reconstruction for phase contrast magnetic resonance imaging
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US Patent 11564590 Deep learning techniques for generating magnetic resonance images from spatial frequency data
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US Patent 11681000 Self ensembling techniques for generating magnetic resonance images from spatial frequency data
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US Patent 11300645 Deep learning techniques for magnetic resonance image reconstruction
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US Patent 11324418 Multi-coil magnetic resonance imaging using deep learning
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10534059
Patent Primary Examiner
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Douglas X Rodriguez

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