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A wavelet scattering convolutional network for magnetic resonance spectroscopy signal quantitation
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SYSNO 0544182 Title A wavelet scattering convolutional network for magnetic resonance spectroscopy signal quantitation Author(s) Shamaei, Amirmohammad (UPT-D)
Starčuková, Jana (UPT-D) RID, SAI, ORCID
Starčuk jr., Zenon (UPT-D) RID, ORCID, SAICorespondence/senior Shamaei, Amirmohammad - Korespondující autor Source Title Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, Biosignals, 4. (2021), s. 268-275. - Setúbal : SciTePress, 2021 / Bracken B. ; Fred A. ; Gamboa H. Conference International Conference on Bio-inspired Systems and Signal Processing /14./ Biosignals 2021, Part of the International Joint Conference on Biomedical Engineering Systems and Technologies /14./ Biostec 2021, 11.02.2021 - 13.02.2021, online Document Type Konferenční příspěvek (zahraniční konf.) Grant 813120, XE - EU countries EF16_013/0001775 GA MŠMT - Ministry of Education, Youth and Sports (MEYS), CZ - Czech Republic Institutional support UPT-D - RVO:68081731 Language eng Country PT Keywords magnetic resonance spectroscopy * quantification * deep learning * machine learning Cooperating institutions Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií (Czech Republic) URL https://www.scitepress.org/Link.aspx?doi=10.5220/0010318502680275 Permanent Link http://hdl.handle.net/11104/0321308 File Download Size Commentary Version Access 103185.pdf 5 651.2 KB Publisher’s postprint open-access
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