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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