0544182 - ÚPT 2022 RIV PT eng C - Konferenční příspěvek (zahraniční konf.)
Shamaei, Amirmohammad - Starčuková, Jana - Starčuk jr., ZenonA wavelet scattering convolutional network for magnetic resonance spectroscopy signal quantitation.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies. Vol. 4. Setúbal: SciTePress, 2021 - (Bracken, B.; Fred, A.; Gamboa, H.), (2021), s. 268-275. Biostec. ISBN 978-989-758-490-9.
[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. online (PT), 11.02.2021-13.02.2021]
Grant CEP: GA MŠMT(CZ) EF16_013/0001775
GRANT EU: European Commission(XE) 813120 - INSPiRE-MED
Institucionální podpora: RVO:68081731
Klíčová slova: magnetic resonance spectroscopy * quantification * deep learning * machine learning
Obor OECD: Medical engineering
https://www.scitepress.org/Link.aspx?doi=10.5220/0010318502680275
Trvalý link: http://hdl.handle.net/11104/0321308
