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- 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/11104/0331937File Download Size Commentary Version Access Venglovskyi2021.pdf 4 2 MB Publisher’s postprint open-access - 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/11104/0331780File Download Size Commentary Version Access ICBES_114.pdf 9 622.5 KB Publisher’s postprint open-access - 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/11104/0321308File Download Size Commentary Version Access 103185.pdf 5 651.2 KB Publisher’s postprint open-access - 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/11104/0318460File Download Size Commentary Version Access EEICT_2020_Shamaei.PDF 20 338.4 KB Author’s postprint open-access