Shamaei Amirmohammad

0560982 - ÚPT 2023 RIV US eng J - Článek v odborném periodiku
Clarke, W. T. - Bell, T. K. - Emir, U. E. - Mikkelsen, M. - Oeltzschner, G. - Shamaei, Amirmohammad - Soher, B. J. - Wilson, M.
NIfTI-MRS: A standard data format for magnetic resonance spectroscopy.
Magnetic Resonance in Medicine. Roč. 88, č. 6 (2022), s. 2358-2370. ISSN 0740-3194. E-ISSN 1522-2594
GRANT EU: European Commission(XE) 813120 - INSPiRE-MED
Institucionální podpora: RVO:68081731
Klíčová slova: MRS * MRSI * open data format * spectroscopy * visualization
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 3.3, rok: 2022 ; AIS: 0.896, rok: 2022
Způsob publikování: Open access
https://onlinelibrary.wiley.com/doi/10.1002/mrm.29418
Clarke, W. T.
Trvalý odkaz: https://hdl.handle.net/11104/0333741

0567321 - ÚPT 2024 RIV US eng J - Článek v odborném periodiku
Rizzo, R. - Dziadosz, M. - Kyathanahally, S. P. - Shamaei, Amirmohammad - Kreis, R.
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias.
Magnetic Resonance in Medicine. Roč. 89, č. 5 (2023), s. 1707-1727. ISSN 0740-3194. E-ISSN 1522-2594
GRANT EU: European Commission(XE) 813120 - INSPiRE-MED
Institucionální podpora: RVO:68081731
Klíčová slova: active learning * bias * deep learning * ensemble of networks * model fitting * magnetic resonance spectroscopy * quantification
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 3, rok: 2023 ; AIS: 0.925, rok: 2023
Způsob publikování: Open access
https://onlinelibrary.wiley.com/doi/10.1002/mrm.29561
Kreis, R.
Trvalý odkaz: https://hdl.handle.net/11104/0338584

0563909 - ÚPT 2023 RIV US eng J - Článek v odborném periodiku
Shamaei, Amirmohammad - Starčuková, Jana - Pavlova, Iveta - Starčuk jr., Zenon
Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signals.
Magnetic Resonance in Medicine. Roč. 89, č. 3 (2023), s. 1221-1236. ISSN 0740-3194. E-ISSN 1522-2594
GRANT EU: European Commission(XE) 813120 - INSPiRE-MED
Institucionální podpora: RVO:68081731
Klíčová slova: deep learning * edited MRS * frequency correction * MR spectroscopy * phase correction
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 3, rok: 2023 ; AIS: 0.925, rok: 2023
Způsob publikování: Open access
https://onlinelibrary.wiley.com/doi/10.1002/mrm.29498
Trvalý odkaz: https://hdl.handle.net/11104/0335691

0570880 - ÚPT 2024 RIV GB eng J - Článek v odborném periodiku
Shamaei, Amirmohammad - Starčuková, Jana - Starčuk jr., Zenon
Physics-informed deep learning approach to quantification of human brain metabolites from magnetic resonance spectroscopy data.
Computers in Biology Medicine. Roč. 158, May (2023), č. článku 106837. ISSN 0010-4825. E-ISSN 1879-0534
Grant CEP: GA MŠMT(CZ) EF18_046/0016045; GA MŠMT(CZ) LM2018129; GA MŠMT(CZ) LM2023050
GRANT EU: European Commission(XE) 813120 - INSPiRE-MED
Institucionální podpora: RVO:68081731
Klíčová slova: MR spectroscopy * Inverse problem * Deep learning * Machine learning * Convolutional neural network * Metabolite quantification
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 7, rok: 2023 ; AIS: 1.255, rok: 2023
Způsob publikování: Open access
https://www.sciencedirect.com/science/article/pii/S0010482523003025
Trvalý odkaz: https://hdl.handle.net/11104/0342210

0580462 - ÚPT 2025 RIV US eng J - Článek v odborném periodiku
Shamaei, Amirmohammad - Starčuková, Jana - Rizzo, R. - Starčuk jr., Zenon
Water removal in MR spectroscopic imaging with Casorati singular value decomposition.
Magnetic Resonance in Medicine. Roč. 91, č. 4 (2024), s. 1694-1706. ISSN 0740-3194. E-ISSN 1522-2594
Grant CEP: GA MŠMT(CZ) EF18_046/0016045; GA MŠMT(CZ) LM2018129; GA MŠMT(CZ) LM2023050
GRANT EU: European Commission(XE) 813120 - INSPiRE-MED
Institucionální podpora: RVO:68081731
Klíčová slova: functional MRS * low-rank approximations * MR spectroscopic imaging * water removal * water suppression
Obor OECD: Medical engineering
Impakt faktor: 3, rok: 2024 ; AIS: 0.804, rok: 2024
Způsob publikování: Open access
https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.29959
Shamaei, Amirmohammad
Trvalý odkaz: https://hdl.handle.net/11104/0349228