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  1. 1.
    0558132 - ÚPT 2023 RIV SK eng C - Conference Paper (international conference)
    Venglovskyi, Iurii
    Single-Voxel Proton MR-Spectroscopy Signal Analysis by Fingerprinting.
    MEASUREMENT 2021. Proceedings of the 13th International Conference on Measurement. Bratislava: Institute of Measurement Science, SAS, 2021, (2021), s. 138-141. ISBN 978-80-972629-4-5.
    [International Conference on Measurement /13./ (Measurement 2021). online (SK), 17.05.2021-19.05.2021]
    EU Projects: European Commission(XE) 813120 - INSPiRE-MED
    Institutional support: RVO:68081731
    Keywords : Nuclear Magnetic Resonance * Single Voxel Spectroscopy * Fingerprinting * Dictionary
    OECD category: Medical engineering
    https://www.measurement.sk/M2021/doc/Proceedings_M2021.pdf
    Permanent Link: http://hdl.handle.net/11104/0331937
    FileDownloadSizeCommentaryVersionAccess
    Venglovskyi2021.pdf42 MBPublisher’s postprintopen-access
     
     
  2. 2.
    0557881 - ÚPT 2023 RIV CA eng C - Conference Paper (international conference)
    Venglovskyi, Iurii
    Magnetic Resonance Spectroscopy Signal Analysis Based on Fingerprinting Dictionary Approaches.
    Proceedings of the 7th World Congress on Electrical Engineering and Computer Systems and Science (EECSS’21). Orléans: International ASET, 2021, č. článku ICBES114. ISBN 978-1-927877-92-0.
    [International Conference on Biomedical Engineering and Systems (ICBES’21) /8./. online (CZ), 29.07.2021-31.07.2021]
    R&D Projects: GA MŠMT(CZ) EF16_013/0001775
    EU Projects: European Commission(XE) 813120 - INSPiRE-MED
    Institutional support: RVO:68081731
    Keywords : magnetic resonance spectroscopy * fingerprinting dictionary * spectroscopic imaging * artificial intelligence
    OECD category: Medical engineering
    https://avestia.com/EECSS2021_Proceedings/files/paper/ICBES/ICBES_114.pdf
    Permanent Link: http://hdl.handle.net/11104/0331780
    FileDownloadSizeCommentaryVersionAccess
    ICBES_114.pdf9622.5 KBPublisher’s postprintopen-access
     
     
  3. 3.
    0544182 - ÚPT 2022 RIV PT eng C - Conference Paper (international conference)
    Shamaei, Amirmohammad - Starčuková, Jana - Starčuk jr., Zenon
    A 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]
    R&D Projects: GA MŠMT(CZ) EF16_013/0001775
    EU Projects: European Commission(XE) 813120 - INSPiRE-MED
    Institutional support: RVO:68081731
    Keywords : magnetic resonance spectroscopy * quantification * deep learning * machine learning
    OECD category: Medical engineering
    https://www.scitepress.org/Link.aspx?doi=10.5220/0010318502680275
    Permanent Link: http://hdl.handle.net/11104/0321308
    FileDownloadSizeCommentaryVersionAccess
    103185.pdf5651.2 KBPublisher’s postprintopen-access
     
     
  4. 4.
    0540863 - ÚPT 2021 RIV CZ eng C - Conference Paper (international conference)
    Shamaei, Amirmohammad
    Deep 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]
    EU Projects: European Commission(XE) 813120 - INSPiRE-MED
    Institutional support: RVO:68081731
    Keywords : magnetic resonance spectroscop * quantification * deep learning * machine learning
    OECD category: 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
    Permanent Link: http://hdl.handle.net/11104/0318460
    FileDownloadSizeCommentaryVersionAccess
    EEICT_2020_Shamaei.PDF20338.4 KBAuthor’s postprintopen-access
     
     


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