Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signals.

Authors:
Shamaei A; Starcukova J; Pavlova I; Starcuk Z.

Journal:
Magn Reson Med

Publication Year: 2022

DOI:
10.1002/mrm.29498

PMCID:
PMC10098589

PMID:
36367249

View on PubMed View on PMC View Publisher
Journal Information

Full Title: Magn Reson Med

Abbreviation: Magn Reson Med

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Diagnostic Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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4/6
66.7% Transparent
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Core Indicators
Evidence found in paper:

"data availability statement the source code is freely available at https://github com/isi-nmr/deepfpc ."

Evidence found in paper:

"data availability statement the source code is freely available at https://github com/isi-nmr/deepfpc .; for testing the frequency domain correlation and frequency domain correlation over a limited frequency range we developed a matlab script which is publicly accessible at https://github com/isi-nmr/frequency-and-phase-correction-of-mrs-signals-using-cross-correlation ."

COI Disclosure
Evidence found in paper:

"Funding information European Union's Horizon 2020 research and innovation program under the Marie Sklodowska‐Curie, Grant/Award Number: 813120; Czech Academy of Sciences, Institute of Scientific Instruments, RVO, Grant/Award Number: 68081731"

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Paper is freely available to read
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Last Updated: Aug 05, 2025