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- 1.0580462 - ÚPT 2025 RIV US eng J - Journal Article
Shamaei, Amirmohammad - Starčuková, Jana - Rizzo, R. - Starčuk jr., Zenon
Water removal in MR spectroscopic imaging with Casorati singular value decomposition.
Magnetic Resonance in Medicine. Roč. 91, č. 4 (2024), s. 1694-1706. ISSN 0740-3194. E-ISSN 1522-2594
R&D Projects: GA MŠMT(CZ) EF18_046/0016045; GA MŠMT(CZ) LM2018129; GA MŠMT(CZ) LM2023050
EU Projects: European Commission(XE) 813120 - INSPiRE-MED
Institutional support: RVO:68081731
Keywords : functional MRS * low-rank approximations * MR spectroscopic imaging * water removal * water suppression
Impact factor: 3.3, year: 2022
Method of publishing: Open access
https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.29959
Permanent Link: https://hdl.handle.net/11104/0349228File Download Size Commentary Version Access 2024_Shamaei_MRM_EarlyAccess.pdf 2 3.9 MB Early access, OA - CC BY 4.0 https://creativecommons.org/licenses/by/4.0 Author’s postprint open-access - 2.0567321 - ÚPT 2024 RIV US eng J - Journal Article
Rizzo, R. - Dziadosz, M. - Kyathanahally, S. P. - Shamaei, Amirmohammad - Kreis, R.
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias.
Magnetic Resonance in Medicine. Roč. 89, č. 5 (2023), s. 1707-1727. ISSN 0740-3194. E-ISSN 1522-2594
EU Projects: European Commission(XE) 813120 - INSPiRE-MED
Institutional support: RVO:68081731
Keywords : active learning * bias * deep learning * ensemble of networks * model fitting * magnetic resonance spectroscopy * quantification
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.29561
Permanent Link: https://hdl.handle.net/11104/0338584File Download Size Commentary Version Access 2023_Rizzo_MRM.pdf 0 5.2 MB OA - CC BY-NC 4.0 https://creativecommons.org/licenses/by-nc/4.0/ Publisher’s postprint open-access Rizzo2023_ Quantification_MRM_EarlyAccess.pdf 3 5.2 MB Early access, OA CC BY-NC 4.0 Publisher’s postprint open-access