A wavelet scattering convolutional network for magnetic resonance spectroscopy signal quantitation

Number of the records: 1

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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, SAI}
Corespondence/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

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Number of the records: 1