0540863 - ÚPT 2021 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Shamaei, AmirmohammadDeep learning for magnetic resonance spectroscopy quantification: A time frequency analysis approach.
Proceedings II of the 26th Conference student EEICT 2020. Brno: UNIV TECHNOLOGY, FAC ELECTRICAL ENG & COMMUNICATION, 2020, s. 131-135. ISBN 978-80-214-5868-0.
[Annual Conference on Student Electrical Engineering, Information Science and Communication Technologies (STUDENT EEICT) /26./. Brno (CZ), 23.04.2020-23.04.2020]
GRANT EU: European Commission(XE) 813120 - INSPiRE-MED
Institucionální podpora: RVO:68081731
Klíčová slova: magnetic resonance spectroscop * quantification * deep learning * machine learning
Obor OECD: Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_2.pdf
Trvalý link: http://hdl.handle.net/11104/0318460
