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  1. 1.
    0563909 - ÚPT 2023 RIV US eng J - Journal Article
    Shamaei, Amirmohammad - Starčuková, Jana - Pavlova, Iveta - Starčuk jr., Zenon
    Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signals.
    Magnetic Resonance in Medicine. Roč. 89, č. 3 (2023), s. 1221-1236. ISSN 0740-3194. E-ISSN 1522-2594
    EU Projects: European Commission(XE) 813120 - INSPiRE-MED
    Institutional support: RVO:68081731
    Keywords : deep learning * edited MRS * frequency correction * MR spectroscopy * phase correction
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 3.3, year: 2022
    Method of publishing: Open access
    https://onlinelibrary.wiley.com/doi/10.1002/mrm.29498
    Permanent Link: https://hdl.handle.net/11104/0335691
    FileDownloadSizeCommentaryVersionAccess
    Shamaei2023_Model-informed_MRM.pdf23.9 MBOA CC BY 4.0Publisher’s postprintopen-access
    Shamaei2022_MRM_Model-informed.pdf124.9 MBOnline First, OA CC BY 4.0Publisher’s postprintopen-access
     
     

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